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nachocab/gist:7913087

Created December 11, 2013 16:04
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gistfile1.txt
data <- structure(list(gene = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L), class = "factor", .Label = c("A2M",
"CPB2", "F10", "F11", "F12", "F13A1", "F13B", "F2", "F3", "F7",
"F8", "F9", "FGA", "FGB", "FGG", "GGCX", "GP6", "GP9", "ITGA2B",
"ITGA3", "KLKB1", "KNG1", "PLAT", "PLAU", "PLAUR", "PLG", "PROC",
"PROCR", "PROS1", "PROZ", "SERPINA10", "SERPINA5", "SERPINB2",
"SERPINC1", "SERPIND1", "SERPINE1", "SERPINF2", "TFPI", "THBD",
"VWF")), timepoint = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9), mean_count = c(314.173367320851, 1.99661504808891,
18.3973463421592, 1.02230377906492, 62.9475983242845, 4164.45595096135,
0.983524147065739, 5.69121620256357, 1.27159027076338, 1.96954713326371,
14.4220326177611, 1, 1, 1, 1, 402.173879076355, 94.6835333269096,
85.6409972454617, 2757.26439215563, 29.6614649898062, 4.75268891719934,
0.954663218907798, 20.6097366728777, 35.7946202825651, 301.013310621264,
1, 38.0731446933417, 7.07905700713546, 368.061571056623, 20.407023769271,
1.02230377906492, 50.5216308150303, 164.024139059772, 10.6604686354606,
7.11908835082331, 104.903121612394, 23.4548241892741, 112.804588354469,
657.376118403692, 571.726097469756, 963.928953173, 5.73849610003187,
24.4755420624142, 1, 123.540080965934, 7610.73808461778, 1, 10.5305971459824,
1, 8.18846012613641, 20.0831845954828, 1, 0.979460631468425,
0.979460631468425, 1, 651.361938908102, 205.705557502315, 30.1523746355715,
4628.0643192859, 48.315297958483, 31.3801090065727, 1, 21.9981247281085,
173.126564731451, 549.558033683118, 0.979460631468425, 14.8266598065577,
4.77892880376986, 362.230138184693, 27.3348989593639, 1, 1.90952625403012,
426.282571615069, 22.9922372363856, 4.3045599203129, 198.198637968783,
28.2157419786535, 138.721949648242, 2722.30963839756, 1157.25776795705,
137.877017595364, 2.66945545766404, 14.4826847939409, 1, 67.7713803559263,
4246.22520847492, 1, 4.12336721970608, 1, 1.54551429669883, 13.6402812094246,
1, 1, 1, 1, 527.31742341549, 105.025044543343, 50.0395026170196,
2869.45757821542, 38.2006040454166, 3.8468015514967, 1.00802034278796,
19.783257449394, 48.9825664126463, 314.883234749617, 1, 38.6483375250876,
8.54694507352115, 218.286243271027, 21.9683038332295, 1, 59.9090098971667,
139.662617464235, 6.07780012220705, 5.45846755987949, 107.30800289718,
34.3992004993122, 70.6642972716259, 408.341044727711, 327.930998115359,
271.727724030275, 2.88394113175952, 13.1137697557962, 1, 68.8542362593929,
10919.9856000241, 1, 8.03721175314861, 0.954787645281563, 3.11164856693316,
11.9258681731443, 1, 1, 1, 1, 1011.68113040857, 43.9757837340933,
10.447447259518, 721.565589254672, 23.6842859091125, 4.87943105259704,
1, 13.1559479801213, 45.2930304409084, 447.267968112747, 1, 12.5626313220227,
9.89103660676034, 152.331922572333, 19.0131738475386, 1, 3.63320253101341,
944.622779067098, 7.47603675068416, 3.86045936173263, 83.0349314470335,
49.4875637710697, 218.156942206772, 3010.10423744408, 318.192003781969,
60.2572923547866, 4.99623407925278, 13.1916961288618, 1.0694984780944,
57.5072847338714, 867.115179458928, 1, 11.7039573826811, 1.26791276971878,
1.45751594681539, 12.042538990568, 1, 1.0694984780944, 1, 1,
446.286894073152, 7.8854472085374, 17.7151318170286, 236.016479484635,
14.5640006500089, 6.56710109213636, 0.964089844039693, 7.33479091584165,
25.33837711321, 209.301173732959, 0.986996184945059, 15.278879905938,
8.96427887930321, 638.503400657126, 41.4809353160687, 1, 65.938227319526,
60.9856501810835, 15.9824338042148, 4.43076673671038, 108.254349771837,
20.1497904366406, 34.7474862277134, 153.015806856839, 63.4573527563076,
55.2774758781388, 2.72716780665263, 10.7185628660459, 1, 51.7040570843274,
1546.52619434197, 1, 9.82229974497045, 1, 1, 14.06230717534,
1, 1, 1, 0.982764790359356, 450.386378778149, 19.5072388500867,
32.8442882375605, 522.840889621132, 12.4470826966306, 9.8481867429249,
1, 21.8998909026061, 9.79804312313137, 65.8602447546864, 0.991045588674408,
15.9704641269923, 4.07224596006991, 733.704331114968, 28.0581885065327,
1, 49.7330782689032, 53.5172457314386, 18.0501951818526, 2.4405328025299,
19.8100246274388, 18.0541900796795, 23.4289942385667, 57.5012950996279,
59.8507015813754, 80.9896362080242, 4.8636043046018, 7.53125680532377,
1, 53.2603832523146, 8349.58339257995, 1, 20.73684258348, 0.971093966209657,
1.8434444598924, 11.4448732980682, 1, 1, 1, 0.971093966209657,
544.104341512251, 26.8729170518013, 24.5276943654626, 627.503673353487,
10.3485012276921, 3.47231464402803, 1, 20.9642550317342, 24.4499954043838,
307.005316425874, 1, 11.8450986472383, 5.90093030221422, 621.980642799789,
19.0326957212069, 1, 18.3301903824334, 466.393378212542, 14.6370053821014,
0.930943679901917, 25.4011377896589, 14.1976941382159, 70.4713702292566,
463.425682624649, 173.195455118157, 114.583692817829, 13.3798688098626,
11.0912719011453, 1.84731698924599, 269.50455014281, 1512.08678698678,
3.0447232767286, 7.50807029694471, 1.53657908252731, 3.01786959015461,
14.6616211437288, 2.33846146008188, 21.785642277665, 45.4352161987718,
52.4167258088505, 423.317425105795, 30.4268808724716, 25.8781470599279,
592.242915299965, 24.9945012483984, 2.71399581978565, 3.07435727053862,
62.6613739029508, 560.878846607785, 2420.78643767277, 9.78533279829541,
6.50364617932609, 32.9573932374251, 1216.85874876124, 14.8572599459714,
1.45698924210098, 1.85811429428739, 63.5765575224013, 18.1294867453686,
8.39961113691265, 49.1132521028461, 12.6039054305423, 88.4179433072391,
1036.88413653349, 232.675057775241), virus = c("lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg")), .Names = c("gene", "timepoint", "mean_count", "virus"
), row.names = c(NA, -320L), class = "data.frame")
13:02:59 > pbcopy(dput(molten_y))
structure(list(gene = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,
21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L), class = "factor", .Label = c("A2M",
"CPB2", "F10", "F11", "F12", "F13A1", "F13B", "F2", "F3", "F7",
"F8", "F9", "FGA", "FGB", "FGG", "GGCX", "GP6", "GP9", "ITGA2B",
"ITGA3", "KLKB1", "KNG1", "PLAT", "PLAU", "PLAUR", "PLG", "PROC",
"PROCR", "PROS1", "PROZ", "SERPINA10", "SERPINA5", "SERPINB2",
"SERPINC1", "SERPIND1", "SERPINE1", "SERPINF2", "TFPI", "THBD",
"VWF")), timepoint = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9), mean_count = c(314.173367320851, 1.99661504808891,
18.3973463421592, 1.02230377906492, 62.9475983242845, 4164.45595096135,
0.983524147065739, 5.69121620256357, 1.27159027076338, 1.96954713326371,
14.4220326177611, 1, 1, 1, 1, 402.173879076355, 94.6835333269096,
85.6409972454617, 2757.26439215563, 29.6614649898062, 4.75268891719934,
0.954663218907798, 20.6097366728777, 35.7946202825651, 301.013310621264,
1, 38.0731446933417, 7.07905700713546, 368.061571056623, 20.407023769271,
1.02230377906492, 50.5216308150303, 164.024139059772, 10.6604686354606,
7.11908835082331, 104.903121612394, 23.4548241892741, 112.804588354469,
657.376118403692, 571.726097469756, 963.928953173, 5.73849610003187,
24.4755420624142, 1, 123.540080965934, 7610.73808461778, 1, 10.5305971459824,
1, 8.18846012613641, 20.0831845954828, 1, 0.979460631468425,
0.979460631468425, 1, 651.361938908102, 205.705557502315, 30.1523746355715,
4628.0643192859, 48.315297958483, 31.3801090065727, 1, 21.9981247281085,
173.126564731451, 549.558033683118, 0.979460631468425, 14.8266598065577,
4.77892880376986, 362.230138184693, 27.3348989593639, 1, 1.90952625403012,
426.282571615069, 22.9922372363856, 4.3045599203129, 198.198637968783,
28.2157419786535, 138.721949648242, 2722.30963839756, 1157.25776795705,
137.877017595364, 2.66945545766404, 14.4826847939409, 1, 67.7713803559263,
4246.22520847492, 1, 4.12336721970608, 1, 1.54551429669883, 13.6402812094246,
1, 1, 1, 1, 527.31742341549, 105.025044543343, 50.0395026170196,
2869.45757821542, 38.2006040454166, 3.8468015514967, 1.00802034278796,
19.783257449394, 48.9825664126463, 314.883234749617, 1, 38.6483375250876,
8.54694507352115, 218.286243271027, 21.9683038332295, 1, 59.9090098971667,
139.662617464235, 6.07780012220705, 5.45846755987949, 107.30800289718,
34.3992004993122, 70.6642972716259, 408.341044727711, 327.930998115359,
271.727724030275, 2.88394113175952, 13.1137697557962, 1, 68.8542362593929,
10919.9856000241, 1, 8.03721175314861, 0.954787645281563, 3.11164856693316,
11.9258681731443, 1, 1, 1, 1, 1011.68113040857, 43.9757837340933,
10.447447259518, 721.565589254672, 23.6842859091125, 4.87943105259704,
1, 13.1559479801213, 45.2930304409084, 447.267968112747, 1, 12.5626313220227,
9.89103660676034, 152.331922572333, 19.0131738475386, 1, 3.63320253101341,
944.622779067098, 7.47603675068416, 3.86045936173263, 83.0349314470335,
49.4875637710697, 218.156942206772, 3010.10423744408, 318.192003781969,
60.2572923547866, 4.99623407925278, 13.1916961288618, 1.0694984780944,
57.5072847338714, 867.115179458928, 1, 11.7039573826811, 1.26791276971878,
1.45751594681539, 12.042538990568, 1, 1.0694984780944, 1, 1,
446.286894073152, 7.8854472085374, 17.7151318170286, 236.016479484635,
14.5640006500089, 6.56710109213636, 0.964089844039693, 7.33479091584165,
25.33837711321, 209.301173732959, 0.986996184945059, 15.278879905938,
8.96427887930321, 638.503400657126, 41.4809353160687, 1, 65.938227319526,
60.9856501810835, 15.9824338042148, 4.43076673671038, 108.254349771837,
20.1497904366406, 34.7474862277134, 153.015806856839, 63.4573527563076,
55.2774758781388, 2.72716780665263, 10.7185628660459, 1, 51.7040570843274,
1546.52619434197, 1, 9.82229974497045, 1, 1, 14.06230717534,
1, 1, 1, 0.982764790359356, 450.386378778149, 19.5072388500867,
32.8442882375605, 522.840889621132, 12.4470826966306, 9.8481867429249,
1, 21.8998909026061, 9.79804312313137, 65.8602447546864, 0.991045588674408,
15.9704641269923, 4.07224596006991, 733.704331114968, 28.0581885065327,
1, 49.7330782689032, 53.5172457314386, 18.0501951818526, 2.4405328025299,
19.8100246274388, 18.0541900796795, 23.4289942385667, 57.5012950996279,
59.8507015813754, 80.9896362080242, 4.8636043046018, 7.53125680532377,
1, 53.2603832523146, 8349.58339257995, 1, 20.73684258348, 0.971093966209657,
1.8434444598924, 11.4448732980682, 1, 1, 1, 0.971093966209657,
544.104341512251, 26.8729170518013, 24.5276943654626, 627.503673353487,
10.3485012276921, 3.47231464402803, 1, 20.9642550317342, 24.4499954043838,
307.005316425874, 1, 11.8450986472383, 5.90093030221422, 621.980642799789,
19.0326957212069, 1, 18.3301903824334, 466.393378212542, 14.6370053821014,
0.930943679901917, 25.4011377896589, 14.1976941382159, 70.4713702292566,
463.425682624649, 173.195455118157, 114.583692817829, 13.3798688098626,
11.0912719011453, 1.84731698924599, 269.50455014281, 1512.08678698678,
3.0447232767286, 7.50807029694471, 1.53657908252731, 3.01786959015461,
14.6616211437288, 2.33846146008188, 21.785642277665, 45.4352161987718,
52.4167258088505, 423.317425105795, 30.4268808724716, 25.8781470599279,
592.242915299965, 24.9945012483984, 2.71399581978565, 3.07435727053862,
62.6613739029508, 560.878846607785, 2420.78643767277, 9.78533279829541,
6.50364617932609, 32.9573932374251, 1216.85874876124, 14.8572599459714,
1.45698924210098, 1.85811429428739, 63.5765575224013, 18.1294867453686,
8.39961113691265, 49.1132521028461, 12.6039054305423, 88.4179433072391,
1036.88413653349, 232.675057775241), virus = c("lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "lassa", "lassa", "lassa",
"lassa", "lassa", "lassa", "lassa", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg", "marburg", "marburg", "marburg", "marburg", "marburg",
"marburg")), .Names = c("gene", "timepoint", "mean_count", "virus"
), row.names = c(NA, -320L), class = "data.frame")
library(rCharts)
h1 <- hPlot(x = "timepoint",
y = "mean_count",
data = molten_y,
type = c("line"),
group=c("gene", "virus"))
h1$copy()
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