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Easy test for r-gsoc2019 (fuzzr)
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| ### SOLUTION OF FUZZR EASY TASK!!! | |
| ### Using Fuzzr on ggplot2 functions | |
| ### 4 functions used - ggplot, ggplotGrob, ggplot_gtable, ggplot_build | |
| ### results stored in fuzz_results, fuzz_results2, fuzz_results3, fuzz_results4 | |
| > library("fuzzr") | |
| > library("ggplot2") | |
| > head(mtcars) | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1 | |
| > data = mtcars | |
| > plot = ggplot(data = mtcars,aes(x =mpg,fill=hp))+geom_bar()+facet_grid(.~gear) | |
| > plot | |
| > fuzz_results1 <- fuzz_function(fun = ggplot, data = data,arg_name = "data", tests = test_all()) | |
| > fuzz_results2 <- fuzz_function(fun = ggplotGrob, x = mpg,arg_name = "x", tests = test_all()) | |
| > fuzz_results3 <- fuzz_function(fun = ggplot_gtable, data = data,arg_name = "data", tests = test_all()) | |
| > fuzz_results4 <- fuzz_function(fun = ggplot_build, plot = plot,arg_name = "plot", tests = test_all()) | |
| > View(fuzz_results1) | |
| > View(fuzz_results2) | |
| > View(fuzz_results3) | |
| > View(fuzz_results4) | |
| > View(plot) | |
| > save(file=”easyTest.RData”) | |
| # Result1 | |
| > fuzz_results1 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[38]]$test_result$value | |
| NULL | |
| [[38]]$test_result$output | |
| NULL | |
| [[38]]$test_result$messages | |
| NULL | |
| [[38]]$test_result$warnings | |
| NULL | |
| [[38]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[38]]$test_name | |
| [[38]]$test_name$data | |
| [1] "date_all_na" | |
| [[38]]$test_name$data | |
| [1] "data" | |
| [[39]] | |
| [[39]]$test_result | |
| [[39]]$test_result$call | |
| [[39]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[39]]$test_result$call$args | |
| [[39]]$test_result$call$args$data | |
| raw(0) | |
| [[39]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[39]]$test_result$value | |
| NULL | |
| [[39]]$test_result$output | |
| NULL | |
| [[39]]$test_result$messages | |
| NULL | |
| [[39]]$test_result$warnings | |
| NULL | |
| [[39]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[39]]$test_name | |
| [[39]]$test_name$data | |
| [1] "raw_empty" | |
| [[39]]$test_name$data | |
| [1] "data" | |
| [[40]] | |
| [[40]]$test_result | |
| [[40]]$test_result$call | |
| [[40]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[40]]$test_result$call$args | |
| [[40]]$test_result$call$args$data | |
| [1] 62 | |
| [[40]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[40]]$test_result$value | |
| NULL | |
| [[40]]$test_result$output | |
| NULL | |
| [[40]]$test_result$messages | |
| NULL | |
| [[40]]$test_result$warnings | |
| NULL | |
| [[40]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[40]]$test_name | |
| [[40]]$test_name$data | |
| [1] "raw_char" | |
| [[40]]$test_name$data | |
| [1] "data" | |
| [[41]] | |
| [[41]]$test_result | |
| [[41]]$test_result$call | |
| [[41]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[41]]$test_result$call$args | |
| [[41]]$test_result$call$args$data | |
| [1] 4e 41 | |
| [[41]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[41]]$test_result$value | |
| NULL | |
| [[41]]$test_result$output | |
| NULL | |
| [[41]]$test_result$messages | |
| NULL | |
| [[41]]$test_result$warnings | |
| NULL | |
| [[41]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[41]]$test_name | |
| [[41]]$test_name$data | |
| [1] "raw_na" | |
| [[41]]$test_name$data | |
| [1] "data" | |
| [[42]] | |
| [[42]]$test_result | |
| [[42]]$test_result$call | |
| [[42]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[42]]$test_result$call$args | |
| [[42]]$test_result$call$args$data | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 1.4 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 setosa | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 4.9 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 1.2 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 setosa | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 versicolor | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 5.7 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 5.1 1.8 virginica | |
| [[42]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[42]]$test_result$value | |
| NULL | |
| [[42]]$test_result$output | |
| NULL | |
| [[42]]$test_result$messages | |
| NULL | |
| [[42]]$test_result$warnings | |
| NULL | |
| [[42]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[42]]$test_name | |
| [[42]]$test_name$data | |
| [1] "df_complete" | |
| [[42]]$test_name$data | |
| [1] "data" | |
| [[43]] | |
| [[43]]$test_result | |
| [[43]]$test_result$call | |
| [[43]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[43]]$test_result$call$args | |
| [[43]]$test_result$call$args$data | |
| data frame with 0 columns and 0 rows | |
| [[43]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[43]]$test_result$value | |
| NULL | |
| [[43]]$test_result$output | |
| NULL | |
| [[43]]$test_result$messages | |
| NULL | |
| [[43]]$test_result$warnings | |
| NULL | |
| [[43]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[43]]$test_name | |
| [[43]]$test_name$data | |
| [1] "df_empty" | |
| [[43]]$test_name$data | |
| [1] "data" | |
| [[44]] | |
| [[44]]$test_result | |
| [[44]]$test_result$call | |
| [[44]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[44]]$test_result$call$args | |
| [[44]]$test_result$call$args$data | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| [[44]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[44]]$test_result$value | |
| NULL | |
| [[44]]$test_result$output | |
| NULL | |
| [[44]]$test_result$messages | |
| NULL | |
| [[44]]$test_result$warnings | |
| NULL | |
| [[44]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[44]]$test_name | |
| [[44]]$test_name$data | |
| [1] "df_one_row" | |
| [[44]]$test_name$data | |
| [1] "data" | |
| [[45]] | |
| [[45]]$test_result | |
| [[45]]$test_result$call | |
| [[45]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[45]]$test_result$call$args | |
| [[45]]$test_result$call$args$data | |
| [1] 5.1 4.9 4.7 4.6 5.0 5.4 4.6 5.0 4.4 4.9 5.4 4.8 4.8 4.3 5.8 5.7 5.4 5.1 5.7 5.1 5.4 5.1 4.6 | |
| [24] 5.1 4.8 5.0 5.0 5.2 5.2 4.7 4.8 5.4 5.2 5.5 4.9 5.0 5.5 4.9 4.4 5.1 5.0 4.5 4.4 5.0 5.1 4.8 | |
| [47] 5.1 4.6 5.3 5.0 7.0 6.4 6.9 5.5 6.5 5.7 6.3 4.9 6.6 5.2 5.0 5.9 6.0 6.1 5.6 6.7 5.6 5.8 6.2 | |
| [70] 5.6 5.9 6.1 6.3 6.1 6.4 6.6 6.8 6.7 6.0 5.7 5.5 5.5 5.8 6.0 5.4 6.0 6.7 6.3 5.6 5.5 5.5 6.1 | |
| [93] 5.8 5.0 5.6 5.7 5.7 6.2 5.1 5.7 6.3 5.8 7.1 6.3 6.5 7.6 4.9 7.3 6.7 7.2 6.5 6.4 6.8 5.7 5.8 | |
| [116] 6.4 6.5 7.7 7.7 6.0 6.9 5.6 7.7 6.3 6.7 7.2 6.2 6.1 6.4 7.2 7.4 7.9 6.4 6.3 6.1 7.7 6.3 6.4 | |
| [139] 6.0 6.9 6.7 6.9 5.8 6.8 6.7 6.7 6.3 6.5 6.2 5.9 | |
| [[45]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[45]]$test_result$value | |
| NULL | |
| [[45]]$test_result$output | |
| NULL | |
| [[45]]$test_result$messages | |
| NULL | |
| [[45]]$test_result$warnings | |
| NULL | |
| [[45]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[45]]$test_name | |
| [[45]]$test_name$data | |
| [1] "df_one_col" | |
| [[45]]$test_name$data | |
| [1] "data" | |
| [[46]] | |
| [[46]]$test_result | |
| [[46]]$test_result$call | |
| [[46]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[46]]$test_result$call$args | |
| [[46]]$test_result$call$args$data | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 NA 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 NA 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 <NA> | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 NA 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 NA 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 <NA> | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 <NA> | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 NA 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 NA 1.8 virginica | |
| [[46]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[46]]$test_result$value | |
| NULL | |
| [[46]]$test_result$output | |
| NULL | |
| [[46]]$test_result$messages | |
| NULL | |
| [[46]]$test_result$warnings | |
| NULL | |
| [[46]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[46]]$test_name | |
| [[46]]$test_name$data | |
| [1] "df_with_na" | |
| [[46]]$test_name$data | |
| [1] "data" | |
| [[47]] | |
| [[47]]$test_result | |
| [[47]]$test_result$call | |
| [[47]]$test_result$call$fun | |
| [1] "ggplot" | |
| [[47]]$test_result$call$args | |
| [[47]]$test_result$call$args$data | |
| NULL | |
| [[47]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[47]]$test_result$value | |
| NULL | |
| [[47]]$test_result$output | |
| NULL | |
| [[47]]$test_result$messages | |
| NULL | |
| [[47]]$test_result$warnings | |
| NULL | |
| [[47]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[47]]$test_name | |
| [[47]]$test_name$data | |
| [1] "null_value" | |
| [[47]]$test_name$data | |
| [1] "data" | |
| attr(,"class") | |
| [1] "fuzz_results" | |
| > | |
| > | |
| # Result2 | |
| >fuzz_results2 | |
| [[35]] | |
| [[35]]$test_result | |
| [[35]]$test_result$call | |
| [[35]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[35]]$test_result$call$args | |
| [[35]]$test_result$call$args$x | |
| [1] "2001-01-01" "1950-05-05" | |
| [[35]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[35]]$test_result$value | |
| NULL | |
| [[35]]$test_result$output | |
| NULL | |
| [[35]]$test_result$messages | |
| NULL | |
| [[35]]$test_result$warnings | |
| NULL | |
| [[35]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[35]]$test_name | |
| [[35]]$test_name$x | |
| [1] "date_multiple" | |
| [[35]]$test_name$x | |
| [1] "mpg" | |
| [[36]] | |
| [[36]]$test_result | |
| [[36]]$test_result$call | |
| [[36]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[36]]$test_result$call$args | |
| [[36]]$test_result$call$args$x | |
| [1] "2001-01-01" NA "1950-05-05" | |
| [[36]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[36]]$test_result$value | |
| NULL | |
| [[36]]$test_result$output | |
| NULL | |
| [[36]]$test_result$messages | |
| NULL | |
| [[36]]$test_result$warnings | |
| NULL | |
| [[36]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[36]]$test_name | |
| [[36]]$test_name$x | |
| [1] "date_with_na" | |
| [[36]]$test_name$x | |
| [1] "mpg" | |
| [[37]] | |
| [[37]]$test_result | |
| [[37]]$test_result$call | |
| [[37]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[37]]$test_result$call$args | |
| [[37]]$test_result$call$args$x | |
| [1] NA | |
| [[37]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[37]]$test_result$value | |
| NULL | |
| [[37]]$test_result$output | |
| NULL | |
| [[37]]$test_result$messages | |
| NULL | |
| [[37]]$test_result$warnings | |
| NULL | |
| [[37]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[37]]$test_name | |
| [[37]]$test_name$x | |
| [1] "date_single_na" | |
| [[37]]$test_name$x | |
| [1] "mpg" | |
| [[38]] | |
| [[38]]$test_result | |
| [[38]]$test_result$call | |
| [[38]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[38]]$test_result$call$args | |
| [[38]]$test_result$call$args$x | |
| [1] NA NA NA | |
| [[38]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[38]]$test_result$value | |
| NULL | |
| [[38]]$test_result$output | |
| NULL | |
| [[38]]$test_result$messages | |
| NULL | |
| [[38]]$test_result$warnings | |
| NULL | |
| [[38]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[38]]$test_name | |
| [[38]]$test_name$x | |
| [1] "date_all_na" | |
| [[38]]$test_name$x | |
| [1] "mpg" | |
| [[39]] | |
| [[39]]$test_result | |
| [[39]]$test_result$call | |
| [[39]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[39]]$test_result$call$args | |
| [[39]]$test_result$call$args$x | |
| raw(0) | |
| [[39]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[39]]$test_result$value | |
| NULL | |
| [[39]]$test_result$output | |
| NULL | |
| [[39]]$test_result$messages | |
| NULL | |
| [[39]]$test_result$warnings | |
| NULL | |
| [[39]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[39]]$test_name | |
| [[39]]$test_name$x | |
| [1] "raw_empty" | |
| [[39]]$test_name$x | |
| [1] "mpg" | |
| [[40]] | |
| [[40]]$test_result | |
| [[40]]$test_result$call | |
| [[40]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[40]]$test_result$call$args | |
| [[40]]$test_result$call$args$x | |
| [1] 62 | |
| [[40]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[40]]$test_result$value | |
| NULL | |
| [[40]]$test_result$output | |
| NULL | |
| [[40]]$test_result$messages | |
| NULL | |
| [[40]]$test_result$warnings | |
| NULL | |
| [[40]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[40]]$test_name | |
| [[40]]$test_name$x | |
| [1] "raw_char" | |
| [[40]]$test_name$x | |
| [1] "mpg" | |
| [[41]] | |
| [[41]]$test_result | |
| [[41]]$test_result$call | |
| [[41]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[41]]$test_result$call$args | |
| [[41]]$test_result$call$args$x | |
| [1] 4e 41 | |
| [[41]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[41]]$test_result$value | |
| NULL | |
| [[41]]$test_result$output | |
| NULL | |
| [[41]]$test_result$messages | |
| NULL | |
| [[41]]$test_result$warnings | |
| NULL | |
| [[41]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[41]]$test_name | |
| [[41]]$test_name$x | |
| [1] "raw_na" | |
| [[41]]$test_name$x | |
| [1] "mpg" | |
| [[42]] | |
| [[42]]$test_result | |
| [[42]]$test_result$call | |
| [[42]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[42]]$test_result$call$args | |
| [[42]]$test_result$call$args$x | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 1.4 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 setosa | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 4.9 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 1.2 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 setosa | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 versicolor | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 5.7 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 5.1 1.8 virginica | |
| [[42]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[42]]$test_result$value | |
| NULL | |
| [[42]]$test_result$output | |
| NULL | |
| [[42]]$test_result$messages | |
| NULL | |
| [[42]]$test_result$warnings | |
| NULL | |
| [[42]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[42]]$test_name | |
| [[42]]$test_name$x | |
| [1] "df_complete" | |
| [[42]]$test_name$x | |
| [1] "mpg" | |
| [[43]] | |
| [[43]]$test_result | |
| [[43]]$test_result$call | |
| [[43]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[43]]$test_result$call$args | |
| [[43]]$test_result$call$args$x | |
| data frame with 0 columns and 0 rows | |
| [[43]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[43]]$test_result$value | |
| NULL | |
| [[43]]$test_result$output | |
| NULL | |
| [[43]]$test_result$messages | |
| NULL | |
| [[43]]$test_result$warnings | |
| NULL | |
| [[43]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[43]]$test_name | |
| [[43]]$test_name$x | |
| [1] "df_empty" | |
| [[43]]$test_name$x | |
| [1] "mpg" | |
| [[44]] | |
| [[44]]$test_result | |
| [[44]]$test_result$call | |
| [[44]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[44]]$test_result$call$args | |
| [[44]]$test_result$call$args$x | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| [[44]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[44]]$test_result$value | |
| NULL | |
| [[44]]$test_result$output | |
| NULL | |
| [[44]]$test_result$messages | |
| NULL | |
| [[44]]$test_result$warnings | |
| NULL | |
| [[44]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[44]]$test_name | |
| [[44]]$test_name$x | |
| [1] "df_one_row" | |
| [[44]]$test_name$x | |
| [1] "mpg" | |
| [[45]] | |
| [[45]]$test_result | |
| [[45]]$test_result$call | |
| [[45]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[45]]$test_result$call$args | |
| [[45]]$test_result$call$args$x | |
| [1] 5.1 4.9 4.7 4.6 5.0 5.4 4.6 5.0 4.4 4.9 5.4 4.8 4.8 4.3 5.8 5.7 5.4 5.1 5.7 5.1 5.4 5.1 4.6 | |
| [24] 5.1 4.8 5.0 5.0 5.2 5.2 4.7 4.8 5.4 5.2 5.5 4.9 5.0 5.5 4.9 4.4 5.1 5.0 4.5 4.4 5.0 5.1 4.8 | |
| [47] 5.1 4.6 5.3 5.0 7.0 6.4 6.9 5.5 6.5 5.7 6.3 4.9 6.6 5.2 5.0 5.9 6.0 6.1 5.6 6.7 5.6 5.8 6.2 | |
| [70] 5.6 5.9 6.1 6.3 6.1 6.4 6.6 6.8 6.7 6.0 5.7 5.5 5.5 5.8 6.0 5.4 6.0 6.7 6.3 5.6 5.5 5.5 6.1 | |
| [93] 5.8 5.0 5.6 5.7 5.7 6.2 5.1 5.7 6.3 5.8 7.1 6.3 6.5 7.6 4.9 7.3 6.7 7.2 6.5 6.4 6.8 5.7 5.8 | |
| [116] 6.4 6.5 7.7 7.7 6.0 6.9 5.6 7.7 6.3 6.7 7.2 6.2 6.1 6.4 7.2 7.4 7.9 6.4 6.3 6.1 7.7 6.3 6.4 | |
| [139] 6.0 6.9 6.7 6.9 5.8 6.8 6.7 6.7 6.3 6.5 6.2 5.9 | |
| [[45]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[45]]$test_result$value | |
| NULL | |
| [[45]]$test_result$output | |
| NULL | |
| [[45]]$test_result$messages | |
| NULL | |
| [[45]]$test_result$warnings | |
| NULL | |
| [[45]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[45]]$test_name | |
| [[45]]$test_name$x | |
| [1] "df_one_col" | |
| [[45]]$test_name$x | |
| [1] "mpg" | |
| [[46]] | |
| [[46]]$test_result | |
| [[46]]$test_result$call | |
| [[46]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[46]]$test_result$call$args | |
| [[46]]$test_result$call$args$x | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 NA 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 NA 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 <NA> | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 NA 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 NA 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 <NA> | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 <NA> | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 NA 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 NA 1.8 virginica | |
| [[46]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[46]]$test_result$value | |
| NULL | |
| [[46]]$test_result$output | |
| NULL | |
| [[46]]$test_result$messages | |
| NULL | |
| [[46]]$test_result$warnings | |
| NULL | |
| [[46]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[46]]$test_name | |
| [[46]]$test_name$x | |
| [1] "df_with_na" | |
| [[46]]$test_name$x | |
| [1] "mpg" | |
| [[47]] | |
| [[47]]$test_result | |
| [[47]]$test_result$call | |
| [[47]]$test_result$call$fun | |
| [1] "ggplotGrob" | |
| [[47]]$test_result$call$args | |
| [[47]]$test_result$call$args$x | |
| NULL | |
| [[47]]$test_result$call$args$x | |
| # A tibble: 234 x 11 | |
| manufacturer model displ year cyl trans drv cty hwy fl class | |
| <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> | |
| 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact | |
| 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact | |
| 3 audi a4 2 2008 4 manual(m6) f 20 31 p compact | |
| 4 audi a4 2 2008 4 auto(av) f 21 30 p compact | |
| 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact | |
| 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact | |
| 7 audi a4 3.1 2008 6 auto(av) f 18 27 p compact | |
| 8 audi a4 quattro 1.8 1999 4 manual(m5) 4 18 26 p compact | |
| 9 audi a4 quattro 1.8 1999 4 auto(l5) 4 16 25 p compact | |
| 10 audi a4 quattro 2 2008 4 manual(m6) 4 20 28 p compact | |
| # ... with 224 more rows | |
| [[47]]$test_result$value | |
| NULL | |
| [[47]]$test_result$output | |
| NULL | |
| [[47]]$test_result$messages | |
| NULL | |
| [[47]]$test_result$warnings | |
| NULL | |
| [[47]]$test_result$errors | |
| [1] "formal argument \"x\" matched by multiple actual arguments" | |
| [[47]]$test_name | |
| [[47]]$test_name$x | |
| [1] "null_value" | |
| [[47]]$test_name$x | |
| [1] "mpg" | |
| attr(,"class") | |
| [1] "fuzz_results" | |
| > | |
| > | |
| # Result3 | |
| >fuzz_results3 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[38]]$test_result$value | |
| NULL | |
| [[38]]$test_result$output | |
| NULL | |
| [[38]]$test_result$messages | |
| NULL | |
| [[38]]$test_result$warnings | |
| NULL | |
| [[38]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[38]]$test_name | |
| [[38]]$test_name$data | |
| [1] "date_all_na" | |
| [[38]]$test_name$data | |
| [1] "data" | |
| [[39]] | |
| [[39]]$test_result | |
| [[39]]$test_result$call | |
| [[39]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[39]]$test_result$call$args | |
| [[39]]$test_result$call$args$data | |
| raw(0) | |
| [[39]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[39]]$test_result$value | |
| NULL | |
| [[39]]$test_result$output | |
| NULL | |
| [[39]]$test_result$messages | |
| NULL | |
| [[39]]$test_result$warnings | |
| NULL | |
| [[39]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[39]]$test_name | |
| [[39]]$test_name$data | |
| [1] "raw_empty" | |
| [[39]]$test_name$data | |
| [1] "data" | |
| [[40]] | |
| [[40]]$test_result | |
| [[40]]$test_result$call | |
| [[40]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[40]]$test_result$call$args | |
| [[40]]$test_result$call$args$data | |
| [1] 62 | |
| [[40]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[40]]$test_result$value | |
| NULL | |
| [[40]]$test_result$output | |
| NULL | |
| [[40]]$test_result$messages | |
| NULL | |
| [[40]]$test_result$warnings | |
| NULL | |
| [[40]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[40]]$test_name | |
| [[40]]$test_name$data | |
| [1] "raw_char" | |
| [[40]]$test_name$data | |
| [1] "data" | |
| [[41]] | |
| [[41]]$test_result | |
| [[41]]$test_result$call | |
| [[41]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[41]]$test_result$call$args | |
| [[41]]$test_result$call$args$data | |
| [1] 4e 41 | |
| [[41]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[41]]$test_result$value | |
| NULL | |
| [[41]]$test_result$output | |
| NULL | |
| [[41]]$test_result$messages | |
| NULL | |
| [[41]]$test_result$warnings | |
| NULL | |
| [[41]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[41]]$test_name | |
| [[41]]$test_name$data | |
| [1] "raw_na" | |
| [[41]]$test_name$data | |
| [1] "data" | |
| [[42]] | |
| [[42]]$test_result | |
| [[42]]$test_result$call | |
| [[42]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[42]]$test_result$call$args | |
| [[42]]$test_result$call$args$data | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 1.4 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 setosa | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 4.9 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 1.2 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 setosa | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 versicolor | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 5.7 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 5.1 1.8 virginica | |
| [[42]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[42]]$test_result$value | |
| NULL | |
| [[42]]$test_result$output | |
| NULL | |
| [[42]]$test_result$messages | |
| NULL | |
| [[42]]$test_result$warnings | |
| NULL | |
| [[42]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[42]]$test_name | |
| [[42]]$test_name$data | |
| [1] "df_complete" | |
| [[42]]$test_name$data | |
| [1] "data" | |
| [[43]] | |
| [[43]]$test_result | |
| [[43]]$test_result$call | |
| [[43]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[43]]$test_result$call$args | |
| [[43]]$test_result$call$args$data | |
| data frame with 0 columns and 0 rows | |
| [[43]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[43]]$test_result$value | |
| NULL | |
| [[43]]$test_result$output | |
| NULL | |
| [[43]]$test_result$messages | |
| NULL | |
| [[43]]$test_result$warnings | |
| NULL | |
| [[43]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[43]]$test_name | |
| [[43]]$test_name$data | |
| [1] "df_empty" | |
| [[43]]$test_name$data | |
| [1] "data" | |
| [[44]] | |
| [[44]]$test_result | |
| [[44]]$test_result$call | |
| [[44]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[44]]$test_result$call$args | |
| [[44]]$test_result$call$args$data | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| [[44]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[44]]$test_result$value | |
| NULL | |
| [[44]]$test_result$output | |
| NULL | |
| [[44]]$test_result$messages | |
| NULL | |
| [[44]]$test_result$warnings | |
| NULL | |
| [[44]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[44]]$test_name | |
| [[44]]$test_name$data | |
| [1] "df_one_row" | |
| [[44]]$test_name$data | |
| [1] "data" | |
| [[45]] | |
| [[45]]$test_result | |
| [[45]]$test_result$call | |
| [[45]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[45]]$test_result$call$args | |
| [[45]]$test_result$call$args$data | |
| [1] 5.1 4.9 4.7 4.6 5.0 5.4 4.6 5.0 4.4 4.9 5.4 4.8 4.8 4.3 5.8 5.7 5.4 5.1 5.7 5.1 5.4 5.1 4.6 | |
| [24] 5.1 4.8 5.0 5.0 5.2 5.2 4.7 4.8 5.4 5.2 5.5 4.9 5.0 5.5 4.9 4.4 5.1 5.0 4.5 4.4 5.0 5.1 4.8 | |
| [47] 5.1 4.6 5.3 5.0 7.0 6.4 6.9 5.5 6.5 5.7 6.3 4.9 6.6 5.2 5.0 5.9 6.0 6.1 5.6 6.7 5.6 5.8 6.2 | |
| [70] 5.6 5.9 6.1 6.3 6.1 6.4 6.6 6.8 6.7 6.0 5.7 5.5 5.5 5.8 6.0 5.4 6.0 6.7 6.3 5.6 5.5 5.5 6.1 | |
| [93] 5.8 5.0 5.6 5.7 5.7 6.2 5.1 5.7 6.3 5.8 7.1 6.3 6.5 7.6 4.9 7.3 6.7 7.2 6.5 6.4 6.8 5.7 5.8 | |
| [116] 6.4 6.5 7.7 7.7 6.0 6.9 5.6 7.7 6.3 6.7 7.2 6.2 6.1 6.4 7.2 7.4 7.9 6.4 6.3 6.1 7.7 6.3 6.4 | |
| [139] 6.0 6.9 6.7 6.9 5.8 6.8 6.7 6.7 6.3 6.5 6.2 5.9 | |
| [[45]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[45]]$test_result$value | |
| NULL | |
| [[45]]$test_result$output | |
| NULL | |
| [[45]]$test_result$messages | |
| NULL | |
| [[45]]$test_result$warnings | |
| NULL | |
| [[45]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[45]]$test_name | |
| [[45]]$test_name$data | |
| [1] "df_one_col" | |
| [[45]]$test_name$data | |
| [1] "data" | |
| [[46]] | |
| [[46]]$test_result | |
| [[46]]$test_result$call | |
| [[46]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[46]]$test_result$call$args | |
| [[46]]$test_result$call$args$data | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 NA 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 NA 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 <NA> | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 NA 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 NA 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 <NA> | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 <NA> | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 NA 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 NA 1.8 virginica | |
| [[46]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[46]]$test_result$value | |
| NULL | |
| [[46]]$test_result$output | |
| NULL | |
| [[46]]$test_result$messages | |
| NULL | |
| [[46]]$test_result$warnings | |
| NULL | |
| [[46]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[46]]$test_name | |
| [[46]]$test_name$data | |
| [1] "df_with_na" | |
| [[46]]$test_name$data | |
| [1] "data" | |
| [[47]] | |
| [[47]]$test_result | |
| [[47]]$test_result$call | |
| [[47]]$test_result$call$fun | |
| [1] "ggplot_gtable" | |
| [[47]]$test_result$call$args | |
| [[47]]$test_result$call$args$data | |
| NULL | |
| [[47]]$test_result$call$args$data | |
| mpg cyl disp hp drat wt qsec vs am gear carb | |
| Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 | |
| Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 | |
| Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 | |
| Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 | |
| Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 | |
| Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 | |
| Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 | |
| Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 | |
| Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 | |
| Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 | |
| Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 | |
| Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 | |
| Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 | |
| Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 | |
| Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 | |
| Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 | |
| Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 | |
| Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 | |
| Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 | |
| Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 | |
| Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 | |
| Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 | |
| AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 | |
| Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 | |
| Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 | |
| Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 | |
| Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 | |
| Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 | |
| Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 | |
| Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 | |
| Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 | |
| Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 | |
| [[47]]$test_result$value | |
| NULL | |
| [[47]]$test_result$output | |
| NULL | |
| [[47]]$test_result$messages | |
| NULL | |
| [[47]]$test_result$warnings | |
| NULL | |
| [[47]]$test_result$errors | |
| [1] "formal argument \"data\" matched by multiple actual arguments" | |
| [[47]]$test_name | |
| [[47]]$test_name$data | |
| [1] "null_value" | |
| [[47]]$test_name$data | |
| [1] "data" | |
| attr(,"class") | |
| [1] "fuzz_results" | |
| > | |
| > | |
| # Result4 | |
| >fuzz_results4 | |
| [[30]]$test_result$value | |
| NULL | |
| [[30]]$test_result$output | |
| NULL | |
| [[30]]$test_result$messages | |
| NULL | |
| [[30]]$test_result$warnings | |
| NULL | |
| [[30]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[30]]$test_name | |
| [[30]]$test_name$plot | |
| [1] "lgl_mutliple" | |
| [[30]]$test_name$plot | |
| [1] "plot" | |
| [[31]] | |
| [[31]]$test_result | |
| [[31]]$test_result$call | |
| [[31]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[31]]$test_result$call$args | |
| [[31]]$test_result$call$args$plot | |
| [1] TRUE NA FALSE | |
| [[31]]$test_result$call$args$plot | |
| [[31]]$test_result$value | |
| NULL | |
| [[31]]$test_result$output | |
| NULL | |
| [[31]]$test_result$messages | |
| NULL | |
| [[31]]$test_result$warnings | |
| NULL | |
| [[31]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[31]]$test_name | |
| [[31]]$test_name$plot | |
| [1] "lgl_with_na" | |
| [[31]]$test_name$plot | |
| [1] "plot" | |
| [[32]] | |
| [[32]]$test_result | |
| [[32]]$test_result$call | |
| [[32]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[32]]$test_result$call$args | |
| [[32]]$test_result$call$args$plot | |
| [1] NA | |
| [[32]]$test_result$call$args$plot | |
| [[32]]$test_result$value | |
| NULL | |
| [[32]]$test_result$output | |
| NULL | |
| [[32]]$test_result$messages | |
| NULL | |
| [[32]]$test_result$warnings | |
| NULL | |
| [[32]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[32]]$test_name | |
| [[32]]$test_name$plot | |
| [1] "lgl_single_na" | |
| [[32]]$test_name$plot | |
| [1] "plot" | |
| [[33]] | |
| [[33]]$test_result | |
| [[33]]$test_result$call | |
| [[33]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[33]]$test_result$call$args | |
| [[33]]$test_result$call$args$plot | |
| [1] NA NA NA | |
| [[33]]$test_result$call$args$plot | |
| [[33]]$test_result$value | |
| NULL | |
| [[33]]$test_result$output | |
| NULL | |
| [[33]]$test_result$messages | |
| NULL | |
| [[33]]$test_result$warnings | |
| NULL | |
| [[33]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[33]]$test_name | |
| [[33]]$test_name$plot | |
| [1] "lgl_all_na" | |
| [[33]]$test_name$plot | |
| [1] "plot" | |
| [[34]] | |
| [[34]]$test_result | |
| [[34]]$test_result$call | |
| [[34]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[34]]$test_result$call$args | |
| [[34]]$test_result$call$args$plot | |
| [1] "2001-01-01" | |
| [[34]]$test_result$call$args$plot | |
| [[34]]$test_result$value | |
| NULL | |
| [[34]]$test_result$output | |
| NULL | |
| [[34]]$test_result$messages | |
| NULL | |
| [[34]]$test_result$warnings | |
| NULL | |
| [[34]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[34]]$test_name | |
| [[34]]$test_name$plot | |
| [1] "date_single" | |
| [[34]]$test_name$plot | |
| [1] "plot" | |
| [[35]] | |
| [[35]]$test_result | |
| [[35]]$test_result$call | |
| [[35]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[35]]$test_result$call$args | |
| [[35]]$test_result$call$args$plot | |
| [1] "2001-01-01" "1950-05-05" | |
| [[35]]$test_result$call$args$plot | |
| [[35]]$test_result$value | |
| NULL | |
| [[35]]$test_result$output | |
| NULL | |
| [[35]]$test_result$messages | |
| NULL | |
| [[35]]$test_result$warnings | |
| NULL | |
| [[35]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[35]]$test_name | |
| [[35]]$test_name$plot | |
| [1] "date_multiple" | |
| [[35]]$test_name$plot | |
| [1] "plot" | |
| [[36]] | |
| [[36]]$test_result | |
| [[36]]$test_result$call | |
| [[36]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[36]]$test_result$call$args | |
| [[36]]$test_result$call$args$plot | |
| [1] "2001-01-01" NA "1950-05-05" | |
| [[36]]$test_result$call$args$plot | |
| [[36]]$test_result$value | |
| NULL | |
| [[36]]$test_result$output | |
| NULL | |
| [[36]]$test_result$messages | |
| NULL | |
| [[36]]$test_result$warnings | |
| NULL | |
| [[36]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[36]]$test_name | |
| [[36]]$test_name$plot | |
| [1] "date_with_na" | |
| [[36]]$test_name$plot | |
| [1] "plot" | |
| [[37]] | |
| [[37]]$test_result | |
| [[37]]$test_result$call | |
| [[37]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[37]]$test_result$call$args | |
| [[37]]$test_result$call$args$plot | |
| [1] NA | |
| [[37]]$test_result$call$args$plot | |
| [[37]]$test_result$value | |
| NULL | |
| [[37]]$test_result$output | |
| NULL | |
| [[37]]$test_result$messages | |
| NULL | |
| [[37]]$test_result$warnings | |
| NULL | |
| [[37]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[37]]$test_name | |
| [[37]]$test_name$plot | |
| [1] "date_single_na" | |
| [[37]]$test_name$plot | |
| [1] "plot" | |
| [[38]] | |
| [[38]]$test_result | |
| [[38]]$test_result$call | |
| [[38]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[38]]$test_result$call$args | |
| [[38]]$test_result$call$args$plot | |
| [1] NA NA NA | |
| [[38]]$test_result$call$args$plot | |
| [[38]]$test_result$value | |
| NULL | |
| [[38]]$test_result$output | |
| NULL | |
| [[38]]$test_result$messages | |
| NULL | |
| [[38]]$test_result$warnings | |
| NULL | |
| [[38]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[38]]$test_name | |
| [[38]]$test_name$plot | |
| [1] "date_all_na" | |
| [[38]]$test_name$plot | |
| [1] "plot" | |
| [[39]] | |
| [[39]]$test_result | |
| [[39]]$test_result$call | |
| [[39]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[39]]$test_result$call$args | |
| [[39]]$test_result$call$args$plot | |
| raw(0) | |
| [[39]]$test_result$call$args$plot | |
| [[39]]$test_result$value | |
| NULL | |
| [[39]]$test_result$output | |
| NULL | |
| [[39]]$test_result$messages | |
| NULL | |
| [[39]]$test_result$warnings | |
| NULL | |
| [[39]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[39]]$test_name | |
| [[39]]$test_name$plot | |
| [1] "raw_empty" | |
| [[39]]$test_name$plot | |
| [1] "plot" | |
| [[40]] | |
| [[40]]$test_result | |
| [[40]]$test_result$call | |
| [[40]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[40]]$test_result$call$args | |
| [[40]]$test_result$call$args$plot | |
| [1] 62 | |
| [[40]]$test_result$call$args$plot | |
| [[40]]$test_result$value | |
| NULL | |
| [[40]]$test_result$output | |
| NULL | |
| [[40]]$test_result$messages | |
| NULL | |
| [[40]]$test_result$warnings | |
| NULL | |
| [[40]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[40]]$test_name | |
| [[40]]$test_name$plot | |
| [1] "raw_char" | |
| [[40]]$test_name$plot | |
| [1] "plot" | |
| [[41]] | |
| [[41]]$test_result | |
| [[41]]$test_result$call | |
| [[41]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[41]]$test_result$call$args | |
| [[41]]$test_result$call$args$plot | |
| [1] 4e 41 | |
| [[41]]$test_result$call$args$plot | |
| [[41]]$test_result$value | |
| NULL | |
| [[41]]$test_result$output | |
| NULL | |
| [[41]]$test_result$messages | |
| NULL | |
| [[41]]$test_result$warnings | |
| NULL | |
| [[41]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[41]]$test_name | |
| [[41]]$test_name$plot | |
| [1] "raw_na" | |
| [[41]]$test_name$plot | |
| [1] "plot" | |
| [[42]] | |
| [[42]]$test_result | |
| [[42]]$test_result$call | |
| [[42]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[42]]$test_result$call$args | |
| [[42]]$test_result$call$args$plot | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 1.4 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 setosa | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 4.9 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 1.2 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 setosa | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 versicolor | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 5.7 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 5.1 1.8 virginica | |
| [[42]]$test_result$call$args$plot | |
| [[42]]$test_result$value | |
| NULL | |
| [[42]]$test_result$output | |
| NULL | |
| [[42]]$test_result$messages | |
| NULL | |
| [[42]]$test_result$warnings | |
| NULL | |
| [[42]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[42]]$test_name | |
| [[42]]$test_name$plot | |
| [1] "df_complete" | |
| [[42]]$test_name$plot | |
| [1] "plot" | |
| [[43]] | |
| [[43]]$test_result | |
| [[43]]$test_result$call | |
| [[43]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[43]]$test_result$call$args | |
| [[43]]$test_result$call$args$plot | |
| data frame with 0 columns and 0 rows | |
| [[43]]$test_result$call$args$plot | |
| [[43]]$test_result$value | |
| NULL | |
| [[43]]$test_result$output | |
| NULL | |
| [[43]]$test_result$messages | |
| NULL | |
| [[43]]$test_result$warnings | |
| NULL | |
| [[43]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[43]]$test_name | |
| [[43]]$test_name$plot | |
| [1] "df_empty" | |
| [[43]]$test_name$plot | |
| [1] "plot" | |
| [[44]] | |
| [[44]]$test_result | |
| [[44]]$test_result$call | |
| [[44]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[44]]$test_result$call$args | |
| [[44]]$test_result$call$args$plot | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 5.1 3.5 1.4 0.2 setosa | |
| [[44]]$test_result$call$args$plot | |
| [[44]]$test_result$value | |
| NULL | |
| [[44]]$test_result$output | |
| NULL | |
| [[44]]$test_result$messages | |
| NULL | |
| [[44]]$test_result$warnings | |
| NULL | |
| [[44]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[44]]$test_name | |
| [[44]]$test_name$plot | |
| [1] "df_one_row" | |
| [[44]]$test_name$plot | |
| [1] "plot" | |
| [[45]] | |
| [[45]]$test_result | |
| [[45]]$test_result$call | |
| [[45]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[45]]$test_result$call$args | |
| [[45]]$test_result$call$args$plot | |
| [1] 5.1 4.9 4.7 4.6 5.0 5.4 4.6 5.0 4.4 4.9 5.4 4.8 4.8 4.3 5.8 5.7 5.4 5.1 5.7 5.1 5.4 5.1 4.6 | |
| [24] 5.1 4.8 5.0 5.0 5.2 5.2 4.7 4.8 5.4 5.2 5.5 4.9 5.0 5.5 4.9 4.4 5.1 5.0 4.5 4.4 5.0 5.1 4.8 | |
| [47] 5.1 4.6 5.3 5.0 7.0 6.4 6.9 5.5 6.5 5.7 6.3 4.9 6.6 5.2 5.0 5.9 6.0 6.1 5.6 6.7 5.6 5.8 6.2 | |
| [70] 5.6 5.9 6.1 6.3 6.1 6.4 6.6 6.8 6.7 6.0 5.7 5.5 5.5 5.8 6.0 5.4 6.0 6.7 6.3 5.6 5.5 5.5 6.1 | |
| [93] 5.8 5.0 5.6 5.7 5.7 6.2 5.1 5.7 6.3 5.8 7.1 6.3 6.5 7.6 4.9 7.3 6.7 7.2 6.5 6.4 6.8 5.7 5.8 | |
| [116] 6.4 6.5 7.7 7.7 6.0 6.9 5.6 7.7 6.3 6.7 7.2 6.2 6.1 6.4 7.2 7.4 7.9 6.4 6.3 6.1 7.7 6.3 6.4 | |
| [139] 6.0 6.9 6.7 6.9 5.8 6.8 6.7 6.7 6.3 6.5 6.2 5.9 | |
| [[45]]$test_result$call$args$plot | |
| [[45]]$test_result$value | |
| NULL | |
| [[45]]$test_result$output | |
| NULL | |
| [[45]]$test_result$messages | |
| NULL | |
| [[45]]$test_result$warnings | |
| NULL | |
| [[45]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[45]]$test_name | |
| [[45]]$test_name$plot | |
| [1] "df_one_col" | |
| [[45]]$test_name$plot | |
| [1] "plot" | |
| [[46]] | |
| [[46]]$test_result | |
| [[46]]$test_result$call | |
| [[46]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[46]]$test_result$call$args | |
| [[46]]$test_result$call$args$plot | |
| Sepal.Length Sepal.Width Petal.Length Petal.Width Species | |
| 1 NA 3.5 1.4 0.2 setosa | |
| 2 4.9 3.0 1.4 0.2 setosa | |
| 3 4.7 3.2 1.3 0.2 setosa | |
| 4 4.6 3.1 1.5 0.2 setosa | |
| 5 5.0 3.6 NA 0.2 setosa | |
| 6 5.4 3.9 1.7 0.4 setosa | |
| 7 4.6 3.4 1.4 0.3 <NA> | |
| 8 5.0 3.4 1.5 0.2 setosa | |
| 9 4.4 2.9 1.4 0.2 setosa | |
| 10 NA 3.1 1.5 0.1 setosa | |
| 11 5.4 3.7 1.5 0.2 setosa | |
| 12 4.8 3.4 1.6 0.2 setosa | |
| 13 4.8 3.0 1.4 0.1 setosa | |
| 14 4.3 3.0 1.1 0.1 setosa | |
| 15 5.8 4.0 NA 0.2 setosa | |
| 16 5.7 4.4 1.5 0.4 setosa | |
| 17 5.4 3.9 1.3 0.4 setosa | |
| 18 5.1 3.5 1.4 0.3 setosa | |
| 19 5.7 3.8 1.7 0.3 setosa | |
| 20 5.1 3.8 1.5 0.3 setosa | |
| 21 5.4 3.4 1.7 0.2 setosa | |
| 22 5.1 3.7 1.5 0.4 setosa | |
| 23 4.6 3.6 1.0 0.2 setosa | |
| 24 5.1 3.3 1.7 0.5 setosa | |
| 25 4.8 3.4 1.9 0.2 setosa | |
| 26 5.0 3.0 1.6 0.2 setosa | |
| 27 5.0 3.4 1.6 0.4 <NA> | |
| 28 5.2 3.5 1.5 0.2 setosa | |
| 29 5.2 3.4 1.4 0.2 setosa | |
| 30 4.7 3.2 1.6 0.2 setosa | |
| 31 4.8 3.1 1.6 0.2 setosa | |
| 32 5.4 3.4 1.5 0.4 setosa | |
| 33 5.2 4.1 1.5 0.1 setosa | |
| 34 5.5 4.2 1.4 0.2 setosa | |
| 35 4.9 3.1 1.5 0.2 setosa | |
| 36 5.0 3.2 1.2 0.2 setosa | |
| 37 5.5 3.5 1.3 0.2 setosa | |
| 38 4.9 3.6 1.4 0.1 setosa | |
| 39 4.4 3.0 1.3 0.2 setosa | |
| 40 5.1 3.4 1.5 0.2 setosa | |
| 41 5.0 3.5 1.3 0.3 setosa | |
| 42 4.5 2.3 1.3 0.3 setosa | |
| 43 4.4 3.2 1.3 0.2 setosa | |
| 44 5.0 3.5 1.6 0.6 setosa | |
| 45 5.1 3.8 1.9 0.4 setosa | |
| 46 4.8 3.0 1.4 0.3 setosa | |
| 47 5.1 3.8 1.6 0.2 setosa | |
| 48 4.6 3.2 1.4 0.2 setosa | |
| 49 5.3 3.7 1.5 0.2 setosa | |
| 50 5.0 3.3 1.4 0.2 setosa | |
| 51 7.0 3.2 4.7 1.4 versicolor | |
| 52 6.4 3.2 4.5 1.5 versicolor | |
| 53 6.9 3.1 4.9 1.5 versicolor | |
| 54 5.5 2.3 4.0 1.3 versicolor | |
| 55 6.5 2.8 4.6 1.5 versicolor | |
| 56 5.7 2.8 4.5 1.3 versicolor | |
| 57 6.3 3.3 4.7 1.6 versicolor | |
| 58 4.9 2.4 3.3 1.0 versicolor | |
| 59 6.6 2.9 4.6 1.3 versicolor | |
| 60 5.2 2.7 3.9 1.4 versicolor | |
| 61 5.0 2.0 3.5 1.0 versicolor | |
| 62 5.9 3.0 4.2 1.5 versicolor | |
| 63 6.0 2.2 4.0 1.0 versicolor | |
| 64 6.1 2.9 4.7 1.4 versicolor | |
| 65 5.6 2.9 3.6 1.3 versicolor | |
| 66 6.7 3.1 4.4 1.4 versicolor | |
| 67 5.6 3.0 4.5 1.5 versicolor | |
| 68 5.8 2.7 4.1 1.0 versicolor | |
| 69 6.2 2.2 4.5 1.5 versicolor | |
| 70 5.6 2.5 3.9 1.1 versicolor | |
| 71 5.9 3.2 4.8 1.8 versicolor | |
| 72 6.1 2.8 4.0 1.3 versicolor | |
| 73 6.3 2.5 4.9 1.5 versicolor | |
| 74 6.1 2.8 4.7 1.2 versicolor | |
| 75 6.4 2.9 4.3 1.3 <NA> | |
| 76 6.6 3.0 4.4 1.4 versicolor | |
| 77 6.8 2.8 4.8 1.4 versicolor | |
| 78 6.7 3.0 5.0 1.7 versicolor | |
| 79 6.0 2.9 4.5 1.5 versicolor | |
| 80 5.7 2.6 3.5 1.0 versicolor | |
| 81 5.5 2.4 3.8 1.1 versicolor | |
| 82 5.5 2.4 3.7 1.0 versicolor | |
| 83 5.8 2.7 3.9 1.2 versicolor | |
| 84 6.0 2.7 5.1 1.6 versicolor | |
| 85 5.4 3.0 4.5 1.5 versicolor | |
| 86 6.0 3.4 4.5 1.6 versicolor | |
| 87 6.7 3.1 4.7 1.5 versicolor | |
| 88 6.3 2.3 4.4 1.3 versicolor | |
| 89 5.6 3.0 4.1 1.3 versicolor | |
| 90 5.5 2.5 4.0 1.3 versicolor | |
| 91 5.5 2.6 4.4 1.2 versicolor | |
| 92 6.1 3.0 4.6 1.4 versicolor | |
| 93 5.8 2.6 4.0 1.2 versicolor | |
| 94 5.0 2.3 3.3 1.0 versicolor | |
| 95 5.6 2.7 4.2 1.3 versicolor | |
| 96 5.7 3.0 4.2 1.2 versicolor | |
| 97 5.7 2.9 4.2 1.3 versicolor | |
| 98 6.2 2.9 4.3 1.3 versicolor | |
| 99 5.1 2.5 3.0 1.1 versicolor | |
| 100 NA 2.8 4.1 1.3 versicolor | |
| 101 6.3 3.3 6.0 2.5 virginica | |
| 102 5.8 2.7 5.1 1.9 virginica | |
| 103 7.1 3.0 5.9 2.1 virginica | |
| 104 6.3 2.9 5.6 1.8 virginica | |
| 105 6.5 3.0 5.8 2.2 virginica | |
| 106 7.6 3.0 6.6 2.1 virginica | |
| 107 4.9 2.5 4.5 1.7 virginica | |
| 108 7.3 2.9 6.3 1.8 virginica | |
| 109 6.7 2.5 5.8 1.8 virginica | |
| 110 7.2 3.6 6.1 2.5 virginica | |
| 111 6.5 3.2 5.1 2.0 virginica | |
| 112 6.4 2.7 5.3 1.9 virginica | |
| 113 6.8 3.0 5.5 2.1 virginica | |
| 114 5.7 2.5 5.0 2.0 virginica | |
| 115 5.8 2.8 5.1 2.4 virginica | |
| 116 6.4 3.2 5.3 2.3 virginica | |
| 117 6.5 3.0 5.5 1.8 virginica | |
| 118 7.7 3.8 6.7 2.2 virginica | |
| 119 7.7 2.6 6.9 2.3 virginica | |
| 120 6.0 2.2 5.0 1.5 virginica | |
| 121 6.9 3.2 5.7 2.3 virginica | |
| 122 5.6 2.8 4.9 2.0 virginica | |
| 123 7.7 2.8 6.7 2.0 virginica | |
| 124 6.3 2.7 4.9 1.8 virginica | |
| 125 6.7 3.3 5.7 2.1 virginica | |
| 126 7.2 3.2 6.0 1.8 virginica | |
| 127 6.2 2.8 4.8 1.8 virginica | |
| 128 6.1 3.0 4.9 1.8 virginica | |
| 129 6.4 2.8 5.6 2.1 virginica | |
| 130 7.2 3.0 5.8 1.6 virginica | |
| 131 7.4 2.8 6.1 1.9 virginica | |
| 132 7.9 3.8 6.4 2.0 virginica | |
| 133 6.4 2.8 5.6 2.2 virginica | |
| 134 6.3 2.8 5.1 1.5 virginica | |
| 135 6.1 2.6 5.6 1.4 virginica | |
| 136 7.7 3.0 6.1 2.3 virginica | |
| 137 6.3 3.4 5.6 2.4 virginica | |
| 138 6.4 3.1 5.5 1.8 virginica | |
| 139 6.0 3.0 4.8 1.8 virginica | |
| 140 6.9 3.1 5.4 2.1 virginica | |
| 141 6.7 3.1 5.6 2.4 virginica | |
| 142 6.9 3.1 5.1 2.3 virginica | |
| 143 5.8 2.7 5.1 1.9 virginica | |
| 144 6.8 3.2 5.9 2.3 virginica | |
| 145 6.7 3.3 5.7 2.5 virginica | |
| 146 6.7 3.0 5.2 2.3 virginica | |
| 147 6.3 2.5 5.0 1.9 virginica | |
| 148 6.5 3.0 5.2 2.0 virginica | |
| 149 6.2 3.4 5.4 2.3 virginica | |
| 150 5.9 3.0 NA 1.8 virginica | |
| [[46]]$test_result$call$args$plot | |
| [[46]]$test_result$value | |
| NULL | |
| [[46]]$test_result$output | |
| NULL | |
| [[46]]$test_result$messages | |
| NULL | |
| [[46]]$test_result$warnings | |
| NULL | |
| [[46]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[46]]$test_name | |
| [[46]]$test_name$plot | |
| [1] "df_with_na" | |
| [[46]]$test_name$plot | |
| [1] "plot" | |
| [[47]] | |
| [[47]]$test_result | |
| [[47]]$test_result$call | |
| [[47]]$test_result$call$fun | |
| [1] "ggplot_build" | |
| [[47]]$test_result$call$args | |
| [[47]]$test_result$call$args$plot | |
| NULL | |
| [[47]]$test_result$call$args$plot | |
| [[47]]$test_result$value | |
| NULL | |
| [[47]]$test_result$output | |
| NULL | |
| [[47]]$test_result$messages | |
| NULL | |
| [[47]]$test_result$warnings | |
| NULL | |
| [[47]]$test_result$errors | |
| [1] "formal argument \"plot\" matched by multiple actual arguments" | |
| [[47]]$test_name | |
| [[47]]$test_name$plot | |
| [1] "null_value" | |
| [[47]]$test_name$plot | |
| [1] "plot" | |
| attr(,"class") | |
| [1] "fuzz_results" | |
| > | |
| > | |
| > fuzz_df <- as.data.frame(fuzz_results1) | |
| > knitr::kable(head(fuzz_df)) | |
| |data |data.1 |output |messages |warnings |errors |result_classes | results_index| | |
| |:-------------------|:------|:------|:--------|:--------|:-----------------------------------------------------------|:--------------|-------------:| | |
| |char_empty |data |NA |NA |NA |formal argument "data" matched by multiple actual arguments |NA | 1| | |
| |char_single |data |NA |NA |NA |formal argument "data" matched by multiple actual arguments |NA | 2| | |
| |char_single_blank |data |NA |NA |NA |formal argument "data" matched by multiple actual arguments |NA | 3| | |
| |char_multiple |data |NA |NA |NA |formal argument "data" matched by multiple actual arguments |NA | 4| | |
| |char_multiple_blank |data |NA |NA |NA |formal argument "data" matched by multiple actual arguments |NA | 5| | |
| |char_with_na |data |NA |NA |NA |formal argument "data" matched by multiple actual arguments |NA | 6| | |
| > | |
| > | |
| > | |
| > fuzz_p <- p_fuzz_function(agrep, list(pattern = test_char(), x = test_char())) | |
| > length(fuzz_p) | |
| [1] 64 | |
| > knitr::kable(head(as.data.frame(fuzz_p))) | |
| |pattern |x |output |messages |warnings |errors |result_classes | results_index| | |
| |:-------------------|:----------|:------|:--------|:-------------------------------------------------------------------------|:----------------------------------------------|:--------------|-------------:| | |
| |char_empty |char_empty |NA |NA |NA |invalid 'pattern' argument |NA | 1| | |
| |char_single |char_empty |NA |NA |NA |NA |integer | 2| | |
| |char_single_blank |char_empty |NA |NA |NA |'pattern' must be a non-empty character string |NA | 3| | |
| |char_multiple |char_empty |NA |NA |argument 'pattern' has length > 1 and only the first element will be used |NA |integer | 4| | |
| |char_multiple_blank |char_empty |NA |NA |argument 'pattern' has length > 1 and only the first element will be used |NA |integer | 5| | |
| |char_with_na |char_empty |NA |NA |argument 'pattern' has length > 1 and only the first element will be used |NA |integer | 6| | |
| > | |
| > |
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