Skip to content

Instantly share code, notes, and snippets.

@nharrell04

nharrell04/hw1_full_assignment_work.r

Created May 24, 2016 18:46
Show Gist options
  • Save nharrell04/606aa811bbef2b891b3de35d6ccbbb2c to your computer and use it in GitHub Desktop.
Save nharrell04/606aa811bbef2b891b3de35d6ccbbb2c to your computer and use it in GitHub Desktop.
Download ZIP
Raw
hw1_full_assignment_work.r
> setwd("~/Downloads")
> hw1_data <- read.csv("hw1_Data.csv", header = TRUE)
> colnames(hw1_data)
[1] "Ozone" "Solar.R" "Wind" "Temp" "Month" "Day"
> tworows <- hw1_data[1:2,]
> tworows
Ozone Solar.R Wind Temp Month Day
1 41 190 7.4 67 5 1
2 36 118 8.0 72 5 2
> nrow(hw1_data)
[1] 153
> lasttworows <- hw1_data[152:153,]
> lasttworows
Ozone Solar.R Wind Temp Month Day
152 18 131 8.0 76 9 29
153 20 223 11.5 68 9 30
> lasttworows <- hw1_data[-1:-2,]
> lasttworows
Ozone Solar.R Wind Temp Month Day
3 12 149 12.6 74 5 3
4 18 313 11.5 62 5 4
5 NA NA 14.3 56 5 5
6 28 NA 14.9 66 5 6
7 23 299 8.6 65 5 7
8 19 99 13.8 59 5 8
9 8 19 20.1 61 5 9
10 NA 194 8.6 69 5 10
11 7 NA 6.9 74 5 11
12 16 256 9.7 69 5 12
13 11 290 9.2 66 5 13
14 14 274 10.9 68 5 14
15 18 65 13.2 58 5 15
16 14 334 11.5 64 5 16
17 34 307 12.0 66 5 17
18 6 78 18.4 57 5 18
19 30 322 11.5 68 5 19
20 11 44 9.7 62 5 20
21 1 8 9.7 59 5 21
22 11 320 16.6 73 5 22
23 4 25 9.7 61 5 23
24 32 92 12.0 61 5 24
25 NA 66 16.6 57 5 25
26 NA 266 14.9 58 5 26
27 NA NA 8.0 57 5 27
28 23 13 12.0 67 5 28
29 45 252 14.9 81 5 29
30 115 223 5.7 79 5 30
31 37 279 7.4 76 5 31
32 NA 286 8.6 78 6 1
33 NA 287 9.7 74 6 2
34 NA 242 16.1 67 6 3
35 NA 186 9.2 84 6 4
36 NA 220 8.6 85 6 5
37 NA 264 14.3 79 6 6
38 29 127 9.7 82 6 7
39 NA 273 6.9 87 6 8
40 71 291 13.8 90 6 9
41 39 323 11.5 87 6 10
42 NA 259 10.9 93 6 11
43 NA 250 9.2 92 6 12
44 23 148 8.0 82 6 13
45 NA 332 13.8 80 6 14
46 NA 322 11.5 79 6 15
47 21 191 14.9 77 6 16
48 37 284 20.7 72 6 17
49 20 37 9.2 65 6 18
50 12 120 11.5 73 6 19
51 13 137 10.3 76 6 20
52 NA 150 6.3 77 6 21
53 NA 59 1.7 76 6 22
54 NA 91 4.6 76 6 23
55 NA 250 6.3 76 6 24
56 NA 135 8.0 75 6 25
57 NA 127 8.0 78 6 26
58 NA 47 10.3 73 6 27
59 NA 98 11.5 80 6 28
60 NA 31 14.9 77 6 29
61 NA 138 8.0 83 6 30
62 135 269 4.1 84 7 1
63 49 248 9.2 85 7 2
64 32 236 9.2 81 7 3
65 NA 101 10.9 84 7 4
66 64 175 4.6 83 7 5
67 40 314 10.9 83 7 6
68 77 276 5.1 88 7 7
69 97 267 6.3 92 7 8
70 97 272 5.7 92 7 9
71 85 175 7.4 89 7 10
72 NA 139 8.6 82 7 11
73 10 264 14.3 73 7 12
74 27 175 14.9 81 7 13
75 NA 291 14.9 91 7 14
76 7 48 14.3 80 7 15
77 48 260 6.9 81 7 16
78 35 274 10.3 82 7 17
79 61 285 6.3 84 7 18
80 79 187 5.1 87 7 19
81 63 220 11.5 85 7 20
82 16 7 6.9 74 7 21
83 NA 258 9.7 81 7 22
84 NA 295 11.5 82 7 23
85 80 294 8.6 86 7 24
86 108 223 8.0 85 7 25
87 20 81 8.6 82 7 26
88 52 82 12.0 86 7 27
89 82 213 7.4 88 7 28
90 50 275 7.4 86 7 29
91 64 253 7.4 83 7 30
92 59 254 9.2 81 7 31
93 39 83 6.9 81 8 1
94 9 24 13.8 81 8 2
95 16 77 7.4 82 8 3
96 78 NA 6.9 86 8 4
97 35 NA 7.4 85 8 5
98 66 NA 4.6 87 8 6
99 122 255 4.0 89 8 7
100 89 229 10.3 90 8 8
101 110 207 8.0 90 8 9
102 NA 222 8.6 92 8 10
103 NA 137 11.5 86 8 11
104 44 192 11.5 86 8 12
105 28 273 11.5 82 8 13
106 65 157 9.7 80 8 14
107 NA 64 11.5 79 8 15
108 22 71 10.3 77 8 16
109 59 51 6.3 79 8 17
110 23 115 7.4 76 8 18
111 31 244 10.9 78 8 19
112 44 190 10.3 78 8 20
113 21 259 15.5 77 8 21
114 9 36 14.3 72 8 22
115 NA 255 12.6 75 8 23
116 45 212 9.7 79 8 24
117 168 238 3.4 81 8 25
118 73 215 8.0 86 8 26
119 NA 153 5.7 88 8 27
120 76 203 9.7 97 8 28
121 118 225 2.3 94 8 29
122 84 237 6.3 96 8 30
123 85 188 6.3 94 8 31
124 96 167 6.9 91 9 1
125 78 197 5.1 92 9 2
126 73 183 2.8 93 9 3
127 91 189 4.6 93 9 4
128 47 95 7.4 87 9 5
129 32 92 15.5 84 9 6
130 20 252 10.9 80 9 7
131 23 220 10.3 78 9 8
132 21 230 10.9 75 9 9
133 24 259 9.7 73 9 10
134 44 236 14.9 81 9 11
135 21 259 15.5 76 9 12
136 28 238 6.3 77 9 13
137 9 24 10.9 71 9 14
138 13 112 11.5 71 9 15
139 46 237 6.9 78 9 16
140 18 224 13.8 67 9 17
141 13 27 10.3 76 9 18
142 24 238 10.3 68 9 19
143 16 201 8.0 82 9 20
144 13 238 12.6 64 9 21
145 23 14 9.2 71 9 22
146 36 139 10.3 81 9 23
147 7 49 10.3 69 9 24
148 14 20 16.6 63 9 25
149 30 193 6.9 70 9 26
150 NA 145 13.2 77 9 27
151 14 191 14.3 75 9 28
152 18 131 8.0 76 9 29
153 20 223 11.5 68 9 30
> lasttworows <- hw1_data[152:153,] ## is there a way to use - for this?
> lasttworows
Ozone Solar.R Wind Temp Month Day
152 18 131 8.0 76 9 29
153 20 223 11.5 68 9 30
> ozone47 <- hw1_data[47,hw1_data$Ozone]
Error in `[.data.frame`(hw1_data, 47, hw1_data$Ozone) :
undefined columns selected
> ozone47 <- hw1_data[47, hw1_data$Ozone]
Error in `[.data.frame`(hw1_data, 47, hw1_data$Ozone) :
undefined columns selected
> ozone47 <- hw1_data[47, $Ozone]
Error: unexpected '$' in "ozone47 <- hw1_data[47, $"
> ozone47 <- subset(hw1_data,47, select = Ozone)
Error in subset.data.frame(hw1_data, 47, select = Ozone) :
'subset' must be logical
> ozone47 <- subset(hw1_data,47, select = Ozone)
Error in subset.data.frame(hw1_data, 47, select = Ozone) :
'subset' must be logical
> ozone 47 <- hw1_data[47, ]
Error: unexpected numeric constant in "ozone 47"
> ozone47 <- hw1_data[47, ]
> ozone47
Ozone Solar.R Wind Temp Month Day
47 21 191 14.9 77 6 16
> ozone47 <- ozone47$Ozone
> ozone47
[1] 21
> ozcol <- hw1_data$Ozone
> missingoz <- is.na(ozcol)
> missingoz
[1] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[19] FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE
[37] TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
[55] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
[73] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
[91] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE
[109] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[127] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[145] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
> sum(missingoz)
[1] 37
> ozone472 <- hw1_data[47,]$Ozone
> ozone472
[1] 21
> ozcol!NA <- ozcol[!is.na(ozcol)]
Error: unexpected '!' in "ozcol!"
> ozcolnotNA <- ozcol[!is.na(ozcol)]
> ozcolnotNA
[1] 41 36 12 18 28 23 19 8 7 16 11 14 18 14 34 6 30 11 1 11 4 32 23 45 115 37 29
[28] 71 39 23 21 37 20 12 13 135 49 32 64 40 77 97 97 85 10 27 7 48 35 61 79 63 16 80
[55] 108 20 52 82 50 64 59 39 9 16 78 35 66 122 89 110 44 28 65 22 59 23 31 44 21 9 45
[82] 168 73 76 118 84 85 96 78 73 91 47 32 20 23 21 24 44 21 28 9 13 46 18 13 24 16 13
[109] 23 36 7 14 30 14 18 20
> mean(ozcolnotNA)
[1] 42.12931
> oztemp <- hw1_data[Ozone > 31 && Temp > 90]
Error in `[.data.frame`(hw1_data, Ozone > 31 && Temp > 90) :
object 'Ozone' not found
> oztemp <- hw1_data[hw1_aata$Ozone > 31 && hw1_dataTemp > 90]
Error in `[.data.frame`(hw1_data, hw1_aata$Ozone > 31 && hw1_dataTemp > :
object 'hw1_aata' not found
> oztemp <- hw1_data[hw1_data$Ozone > 31 && hw1_dataTemp > 90]
Error in `[.data.frame`(hw1_data, hw1_data$Ozone > 31 && hw1_dataTemp > :
object 'hw1_dataTemp' not found
> oztemp <- hw1_data[hw1_data$Ozone > 31 && hw1_data$Temp > 90]
> oztemp
data frame with 0 columns and 153 rows
> oztemp <- hw1_data[,hw1_data$Ozone > 31 && hw1_data$Temp > 90]
> oztemp
data frame with 0 columns and 153 rows
> View(oztemp)
Error in .subset2(x, i, exact = exact) : subscript out of bounds
> View(oztemp)
Error in .subset2(x, i, exact = exact) : subscript out of bounds
> View(oztemp)
Error in .subset2(x, i, exact = exact) : subscript out of bounds
> View(oztemp)
Error in .subset2(x, i, exact = exact) : subscript out of bounds
> oztemp <- hw1_data[[,hw1_data$Ozone > 31 && hw1_data$Temp > 90]]
Error in .subset2(x, ..2, exact = exact) :
attempt to select less than one element in integerOneIndex
> oztemp <- hw1_data[,hw1_data$Ozone > 31 && hw1_data$Temp > 90]
> oztemp
data frame with 0 columns and 153 rows
> oztemp <- hw1_data[,(hw1_data$Ozone > 31 && hw1_data$Temp > 90)]
> oztemp
data frame with 0 columns and 153 rows
> oztemp <- hw1_data[,hw1_data$Ozone > 31 && hw1_data$Temp > 90]
> june <- hw1_data
> june <- hw1_data[,Month == 6]
Error in `[.data.frame`(hw1_data, , Month == 6) :
object 'Month' not found
> june <- hw1_data[,hw1_data$Month == 6]
Error in `[.data.frame`(hw1_data, , hw1_data$Month == 6) :
undefined columns selected
> june <- hw1_data[, hw1_data$Month==6]
Error in `[.data.frame`(hw1_data, , hw1_data$Month == 6) :
undefined columns selected
> june <- hw1_data[[,hw1_data$Month == 6]]
Error in .subset2(x, ..2, exact = exact) :
attempt to select less than one element in integerOneIndex
In addition: Warning messages:
1: In .HTMLsearch(query) : Unrecognized search field: title
2: In .HTMLsearch(query) : Unrecognized search field: keyword
3: In .HTMLsearch(query) : Unrecognized search field: alias
> june <- hw1_data[,hw1_data$Month == 6]
Error in `[.data.frame`(hw1_data, , hw1_data$Month == 6) :
undefined columns selected
> ozone31 <- hw1_data[ , hw1_data$Ozone]
Error in `[.data.frame`(hw1_data, , hw1_data$Ozone) :
undefined columns selected
In addition: Warning messages:
1: In .HTMLsearch(query) : Unrecognized search field: title
2: In .HTMLsearch(query) : Unrecognized search field: keyword
3: In .HTMLsearch(query) : Unrecognized search field: alias
> ozone31 <- hw1_data$Ozone
> ozone31
[1] 41 36 12 18 NA 28 23 19 8 NA 7 16 11 14 18 14 34 6 30 11 1 11 4 32 NA NA NA
[28] 23 45 115 37 NA NA NA NA NA NA 29 NA 71 39 NA NA 23 NA NA 21 37 20 12 13 NA NA NA
[55] NA NA NA NA NA NA NA 135 49 32 NA 64 40 77 97 97 85 NA 10 27 NA 7 48 35 61 79 63
[82] 16 NA NA 80 108 20 52 82 50 64 59 39 9 16 78 35 66 122 89 110 NA NA 44 28 65 NA 22
[109] 59 23 31 44 21 9 NA 45 168 73 NA 76 118 84 85 96 78 73 91 47 32 20 23 21 24 44 21
[136] 28 9 13 46 18 13 24 16 13 23 36 7 14 30 NA 14 18 20
> ozone31 <- !is.na(ozone31)
> ozone31
[1] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[19] TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
[37] FALSE TRUE FALSE TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE
[55] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
[73] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
[91] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE FALSE TRUE
[109] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[127] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[145] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
> ozone31 <- hw1_data$Ozone > 31
> ozone31
[1] TRUE TRUE FALSE FALSE NA FALSE FALSE FALSE FALSE NA FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
[19] FALSE FALSE FALSE FALSE FALSE TRUE NA NA NA FALSE TRUE TRUE TRUE NA NA NA NA NA
[37] NA FALSE NA TRUE TRUE NA NA FALSE NA NA FALSE TRUE FALSE FALSE FALSE NA NA NA
[55] NA NA NA NA NA NA NA TRUE TRUE TRUE NA TRUE TRUE TRUE TRUE TRUE TRUE NA
[73] FALSE FALSE NA FALSE TRUE TRUE TRUE TRUE TRUE FALSE NA NA TRUE TRUE FALSE TRUE TRUE TRUE
[91] TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE NA NA TRUE FALSE TRUE NA FALSE
[109] TRUE FALSE FALSE TRUE FALSE FALSE NA TRUE TRUE TRUE NA TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[127] TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
[145] FALSE TRUE FALSE FALSE FALSE NA FALSE FALSE FALSE
> temp90 <- hw1_data$Temp > 90
> answer18 <- hw1_data[ozone31 & temp90, ]
> answer18
Ozone Solar.R Wind Temp Month Day
NA NA NA NA NA NA NA
NA.1 NA NA NA NA NA NA
69 97 267 6.3 92 7 8
70 97 272 5.7 92 7 9
NA.2 NA NA NA NA NA NA
NA.3 NA NA NA NA NA NA
120 76 203 9.7 97 8 28
121 118 225 2.3 94 8 29
122 84 237 6.3 96 8 30
123 85 188 6.3 94 8 31
124 96 167 6.9 91 9 1
125 78 197 5.1 92 9 2
126 73 183 2.8 93 9 3
127 91 189 4.6 93 9 4
> answer18solar <- answer18$Solar.R
> answer18solar
[1] NA NA 267 272 NA NA 203 225 237 188 167 197 183 189
> mean(answer18solar)
[1] NA
> answer18solarnonNA <- answer18solar[!is.na(answer18solar)]
> answer18solarnonNA
[1] 267 272 203 225 237 188 167 197 183 189
> mean(answer18solarnonNA)
[1] 212.8
> hw1_data$Month == 6
[1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[14] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[27] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[40] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[53] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
[66] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[79] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[92] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[105] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[118] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[131] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[144] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
> june <- hw1_data$Month == 6
> june
[1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[14] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[27] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[40] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[53] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
[66] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[79] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[92] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[105] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[118] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[131] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[144] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
> junetemps <- hw1_data[june, hw1_data$Temp]
Error in `[.data.frame`(hw1_data, june, hw1_data$Temp) :
undefined columns selected
> junetemps <- hw1_data[june,]
> junetemps
Ozone Solar.R Wind Temp Month Day
32 NA 286 8.6 78 6 1
33 NA 287 9.7 74 6 2
34 NA 242 16.1 67 6 3
35 NA 186 9.2 84 6 4
36 NA 220 8.6 85 6 5
37 NA 264 14.3 79 6 6
38 29 127 9.7 82 6 7
39 NA 273 6.9 87 6 8
40 71 291 13.8 90 6 9
41 39 323 11.5 87 6 10
42 NA 259 10.9 93 6 11
43 NA 250 9.2 92 6 12
44 23 148 8.0 82 6 13
45 NA 332 13.8 80 6 14
46 NA 322 11.5 79 6 15
47 21 191 14.9 77 6 16
48 37 284 20.7 72 6 17
49 20 37 9.2 65 6 18
50 12 120 11.5 73 6 19
51 13 137 10.3 76 6 20
52 NA 150 6.3 77 6 21
53 NA 59 1.7 76 6 22
54 NA 91 4.6 76 6 23
55 NA 250 6.3 76 6 24
56 NA 135 8.0 75 6 25
57 NA 127 8.0 78 6 26
58 NA 47 10.3 73 6 27
59 NA 98 11.5 80 6 28
60 NA 31 14.9 77 6 29
61 NA 138 8.0 83 6 30
> junetemps <- junetemps[ ,junetemps$Temp]
Error in `[.data.frame`(junetemps, , junetemps$Temp) :
undefined columns selected
> junetemps <- hw1_data[june,]$Temp
> junetemps
[1] 78 74 67 84 85 79 82 87 90 87 93 92 82 80 79 77 72 65 73 76 77 76 76 76 75 78
[27] 73 80 77 83
> mean(junetemps)
[1] 79.1
> mayozone <- hw1_data[hw1_data$Month = 5,]$Ozone
Error: unexpected '=' in "mayozone <- hw1_data[hw1_data$Month ="
> mayozone <- hw1_data[hw1_data$Month == 5,]$Ozone
> mayozone
[1] 41 36 12 18 NA 28 23 19 8 NA 7 16 11 14 18 14 34 6 30
[20] 11 1 11 4 32 NA NA NA 23 45 115 37
> max(mayozone)
[1] NA
> mayozonenoNA <- mayozone[!is.na(mayozone)
+
+ mayozonenoNA <- mayozone[!is.na(mayozone)]
Error: unexpected symbol in:
"
mayozonenoNA"
> mayozonenoNA <- mayozone[!is.na(mayozone)]
> mayozonenoNA
[1] 41 36 12 18 28 23 19 8 7 16 11 14 18 14 34 6 30 11 1
[20] 11 4 32 23 45 115 37
> max(mayozonenoNA)
[1] 115
>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment