ALLABOUT_CHICKWEIGHTS
Mudry Stater
2025-02-26
##CLUSETRINGS CHICKWEIGHTS EXPERIMETS
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library(dplyr)##
## Attachement du package : 'dplyr'## Les objets suivants sont masqués depuis 'package:stats':
##
## filter, lag## Les objets suivants sont masqués depuis 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(tidyr)## Warning: le package 'tidyr' a été compilé avec la version R 4.2.2names(ChickWeight)## [1] "weight" "Time" "Chick" "Diet"CC=ChickWeight[ ,-c(4)]
names(CC)## [1] "weight" "Time" "Chick"widechick=reshape(data = ChickWeight,
timevar= c("Time"), v.names=c("weight"),
idvar= c("Chick"), direction = "wide")
summary(widechick)## Chick Diet weight.0 weight.2 weight.4
## 18 : 1 1:20 Min. :39.00 Min. :35.00 Min. :48.00
## 16 : 1 2:10 1st Qu.:41.00 1st Qu.:48.00 1st Qu.:57.00
## 15 : 1 3:10 Median :41.00 Median :49.00 Median :61.00
## 13 : 1 4:10 Mean :41.06 Mean :49.22 Mean :59.96
## 9 : 1 3rd Qu.:42.00 3rd Qu.:51.00 3rd Qu.:63.00
## 20 : 1 Max. :43.00 Max. :55.00 Max. :69.00
## (Other):44 NA's :1
## weight.6 weight.8 weight.10 weight.12
## Min. :51.00 Min. : 57.00 Min. : 51.0 Min. : 54.0
## 1st Qu.:68.00 1st Qu.: 83.00 1st Qu.: 93.0 1st Qu.:108.0
## Median :74.00 Median : 90.00 Median :109.0 Median :134.0
## Mean :74.31 Mean : 91.24 Mean :107.8 Mean :129.2
## 3rd Qu.:80.00 3rd Qu.:102.00 3rd Qu.:124.0 3rd Qu.:152.0
## Max. :96.00 Max. :131.00 Max. :163.0 Max. :217.0
## NA's :1 NA's :1 NA's :1 NA's :1
## weight.14 weight.16 weight.18 weight.20
## Min. : 68.0 Min. : 71.0 Min. : 72.0 Min. : 76.0
## 1st Qu.:120.5 1st Qu.:143.5 1st Qu.:152.5 1st Qu.:161.0
## Median :146.5 Median :169.0 Median :187.0 Median :204.0
## Mean :143.8 Mean :168.1 Mean :190.2 Mean :209.7
## 3rd Qu.:167.0 3rd Qu.:197.0 3rd Qu.:230.5 3rd Qu.:259.0
## Max. :240.0 Max. :287.0 Max. :332.0 Max. :361.0
## NA's :2 NA's :3 NA's :3 NA's :4
## weight.21
## Min. : 74.0
## 1st Qu.:167.0
## Median :205.0
## Mean :218.7
## 3rd Qu.:266.0
## Max. :373.0
## NA's :5widechick[,3:14]## weight.0 weight.2 weight.4 weight.6 weight.8 weight.10 weight.12 weight.14
## 1 42 51 59 64 76 93 106 125
## 13 40 49 58 72 84 103 122 138
## 25 43 39 55 67 84 99 115 138
## 37 42 49 56 67 74 87 102 108
## 49 41 42 48 60 79 106 141 164
## 61 41 49 59 74 97 124 141 148
## 73 41 49 57 71 89 112 146 174
## 85 42 50 61 71 84 93 110 116
## 96 42 51 59 68 85 96 90 92
## 108 41 44 52 63 74 81 89 96
## 120 43 51 63 84 112 139 168 177
## 132 41 49 56 62 72 88 119 135
## 144 41 48 53 60 65 67 71 70
## 156 41 49 62 79 101 128 164 192
## 168 41 49 56 64 68 68 67 68
## 176 41 45 49 51 57 51 54 NA
## 183 42 51 61 72 83 89 98 103
## 195 39 35 NA NA NA NA NA NA
## 197 43 48 55 62 65 71 82 88
## 209 41 47 54 58 65 73 77 89
## 221 40 50 62 86 125 163 217 240
## 233 41 55 64 77 90 95 108 111
## 245 43 52 61 73 90 103 127 135
## 257 42 52 58 74 66 68 70 71
## 269 40 49 62 78 102 124 146 164
## 281 42 48 57 74 93 114 136 147
## 293 39 46 58 73 87 100 115 123
## 305 39 46 58 73 92 114 145 156
## 317 39 48 59 74 87 106 134 150
## 329 42 48 59 72 85 98 115 122
## 341 42 53 62 73 85 102 123 138
## 353 41 49 65 82 107 129 159 179
## 365 39 50 63 77 96 111 137 144
## 377 41 49 63 85 107 134 164 186
## 389 41 53 64 87 123 158 201 238
## 401 39 48 61 76 98 116 145 166
## 413 41 48 56 68 80 83 103 112
## 425 41 49 61 74 98 109 128 154
## 437 42 50 61 78 89 109 130 146
## 449 41 55 66 79 101 120 154 182
## 461 42 51 66 85 103 124 155 153
## 473 42 49 63 84 103 126 160 174
## 485 42 55 69 96 131 157 184 188
## 497 42 51 65 86 103 118 127 138
## 507 41 50 61 78 98 117 135 141
## 519 40 52 62 82 101 120 144 156
## 531 41 53 66 79 100 123 148 157
## 543 39 50 62 80 104 125 154 170
## 555 40 53 64 85 108 128 152 166
## 567 41 54 67 84 105 122 155 175
## weight.16 weight.18 weight.20 weight.21
## 1 149 171 199 205
## 13 162 187 209 215
## 25 163 187 198 202
## 37 136 154 160 157
## 49 197 199 220 223
## 61 155 160 160 157
## 73 218 250 288 305
## 85 126 134 125 NA
## 96 93 100 100 98
## 108 101 112 120 124
## 120 182 184 181 175
## 132 162 185 195 205
## 144 71 81 91 96
## 156 227 248 259 266
## 168 NA NA NA NA
## 176 NA NA NA NA
## 183 113 123 133 142
## 195 NA NA NA NA
## 197 106 120 144 157
## 209 98 107 115 117
## 221 275 307 318 331
## 233 131 148 164 167
## 245 145 163 170 175
## 257 72 72 76 74
## 269 197 231 259 265
## 281 169 205 236 251
## 293 144 163 185 192
## 305 184 207 212 233
## 317 187 230 279 309
## 329 143 151 157 150
## 341 170 204 235 256
## 353 221 263 291 305
## 365 151 146 156 147
## 377 235 294 327 341
## 389 287 332 361 373
## 401 198 227 225 220
## 413 135 157 169 178
## 425 192 232 280 290
## 437 170 214 250 272
## 449 215 262 295 321
## 461 175 184 199 204
## 473 204 234 269 281
## 485 197 198 199 200
## 497 145 146 NA NA
## 507 147 174 197 196
## 519 173 210 231 238
## 531 168 185 210 205
## 543 222 261 303 322
## 555 184 203 233 237
## 567 205 234 264 264col<- colorRampPalette(c("blue","yellow","pink","red" ))(256)
heatmap(as.matrix(widechick[,3:14]),labRow = widechick$Chick,col=col,legend=TRUE)## Warning in plot.window(...): "legend" n'est pas un paramètre graphique## Warning in plot.xy(xy, type, ...): "legend" n'est pas un paramètre graphique## Warning in title(...): "legend" n'est pas un paramètre graphiquelegend(x = "bottomright", legend = c("vloww","vloww","mediumw", "highw"),
cex = 0.8, fill = colorRampPalette(c("blue","yellow","pink","red" ))(4))
heatmap(as.matrix(widechick[,3:14]),labRow = widechick$Diet,col=col,legend=TRUE)## Warning in plot.window(...): "legend" n'est pas un paramètre graphique## Warning in plot.xy(xy, type, ...): "legend" n'est pas un paramètre graphique## Warning in title(...): "legend" n'est pas un paramètre graphique
widechick$id=rownames(widechick)
varweight=widechick[ ,4:14]#weight time zero removed
head(varweight,5)## weight.2 weight.4 weight.6 weight.8 weight.10 weight.12 weight.14 weight.16
## 1 51 59 64 76 93 106 125 149
## 13 49 58 72 84 103 122 138 162
## 25 39 55 67 84 99 115 138 163
## 37 49 56 67 74 87 102 108 136
## 49 42 48 60 79 106 141 164 197
## weight.18 weight.20 weight.21
## 1 171 199 205
## 13 187 209 215
## 25 187 198 202
## 37 154 160 157
## 49 199 220 223plot(widechick)
library(psych)
pairs.panels(varweight)
D=dist(varweight)
heatmap(as.matrix(varweight))
hd=hclust(D)
hdmean=hclust(D,method="average")
plot(hdmean,labels=widechick$Chick)
plot(hdmean,labels=widechick$Diet)
plot(hd,labels=widechick$Chick)
plot(hd,labels=widechick$Diet)
#young growth
varweightyoung=widechick[ ,4:9]#weight time zero removed
summary(varweightyoung)## weight.2 weight.4 weight.6 weight.8
## Min. :35.00 Min. :48.00 Min. :51.00 Min. : 57.00
## 1st Qu.:48.00 1st Qu.:57.00 1st Qu.:68.00 1st Qu.: 83.00
## Median :49.00 Median :61.00 Median :74.00 Median : 90.00
## Mean :49.22 Mean :59.96 Mean :74.31 Mean : 91.24
## 3rd Qu.:51.00 3rd Qu.:63.00 3rd Qu.:80.00 3rd Qu.:102.00
## Max. :55.00 Max. :69.00 Max. :96.00 Max. :131.00
## NA's :1 NA's :1 NA's :1
## weight.10 weight.12
## Min. : 51.0 Min. : 54.0
## 1st Qu.: 93.0 1st Qu.:108.0
## Median :109.0 Median :134.0
## Mean :107.8 Mean :129.2
## 3rd Qu.:124.0 3rd Qu.:152.0
## Max. :163.0 Max. :217.0
## NA's :1 NA's :1pairs.panels(varweightyoung)
Dy=dist(varweightyoung)
hdy=hclust(Dy)
plot(hdy,labels=widechick$Chick)
plot(hdy,labels=widechick$Diet)
#what explain the variability of grwoth curve in each Diet Gene control protein intake
#to see soncsitency of thepoeoryx of gene or Littering migling:
varweightold=widechick[ ,10:15]#weight time zero removed
summary(varweightold)## weight.14 weight.16 weight.18 weight.20
## Min. : 68.0 Min. : 71.0 Min. : 72.0 Min. : 76.0
## 1st Qu.:120.5 1st Qu.:143.5 1st Qu.:152.5 1st Qu.:161.0
## Median :146.5 Median :169.0 Median :187.0 Median :204.0
## Mean :143.8 Mean :168.1 Mean :190.2 Mean :209.7
## 3rd Qu.:167.0 3rd Qu.:197.0 3rd Qu.:230.5 3rd Qu.:259.0
## Max. :240.0 Max. :287.0 Max. :332.0 Max. :361.0
## NA's :2 NA's :3 NA's :3 NA's :4
## weight.21 id
## Min. : 74.0 Length:50
## 1st Qu.:167.0 Class :character
## Median :205.0 Mode :character
## Mean :218.7
## 3rd Qu.:266.0
## Max. :373.0
## NA's :5varold=varweightold %>%
drop_na()
varold## Grouped Data: NULL
## weight.14 weight.16 weight.18 weight.20 weight.21 id
## 1 125 149 171 199 205 1
## 2 138 162 187 209 215 13
## 3 138 163 187 198 202 25
## 4 108 136 154 160 157 37
## 5 164 197 199 220 223 49
## 6 148 155 160 160 157 61
## 7 174 218 250 288 305 73
## 8 92 93 100 100 98 96
## 9 96 101 112 120 124 108
## 10 177 182 184 181 175 120
## 11 135 162 185 195 205 132
## 12 70 71 81 91 96 144
## 13 192 227 248 259 266 156
## 14 103 113 123 133 142 183
## 15 88 106 120 144 157 197
## 16 89 98 107 115 117 209
## 17 240 275 307 318 331 221
## 18 111 131 148 164 167 233
## 19 135 145 163 170 175 245
## 20 71 72 72 76 74 257
## 21 164 197 231 259 265 269
## 22 147 169 205 236 251 281
## 23 123 144 163 185 192 293
## 24 156 184 207 212 233 305
## 25 150 187 230 279 309 317
## 26 122 143 151 157 150 329
## 27 138 170 204 235 256 341
## 28 179 221 263 291 305 353
## 29 144 151 146 156 147 365
## 30 186 235 294 327 341 377
## 31 238 287 332 361 373 389
## 32 166 198 227 225 220 401
## 33 112 135 157 169 178 413
## 34 154 192 232 280 290 425
## 35 146 170 214 250 272 437
## 36 182 215 262 295 321 449
## 37 153 175 184 199 204 461
## 38 174 204 234 269 281 473
## 39 188 197 198 199 200 485
## 40 141 147 174 197 196 507
## 41 156 173 210 231 238 519
## 42 157 168 185 210 205 531
## 43 170 222 261 303 322 543
## 44 166 184 203 233 237 555
## 45 175 205 234 264 264 567pairs.panels(varold)
Dyold=dist(varold[,1:5])
Dyold## 1 2 3 4 5 6 7
## 2 28.178006
## 3 25.119713 17.058722
## 4 67.616566 91.815031 78.657485
## 5 73.307571 47.222876 53.860932 129.761319
## 6 67.163978 81.504601 66.045439 44.687806 107.224064
## 7 176.985875 150.804509 164.313724 242.041319 120.374416 225.904847
## 8 174.688294 200.039996 187.096232 110.009091 236.275263 132.894695 350.773431
## 9 139.384361 165.263426 152.973854 76.302031 203.002463 103.019416 315.914545
## 10 72.013888 65.681047 53.935146 92.422941 66.663333 53.953684 184.418003
## 11 21.931712 17.578396 5.656854 76.778903 56.665686 66.121101 165.924682
## 12 201.876200 228.530086 216.815590 139.570771 267.219011 166.922138 378.782259
## 13 154.347012 126.344766 136.198385 214.137806 86.342342 191.170081 52.640289
## 14 111.395691 137.211516 125.083972 49.689033 175.165636 78.179281 287.730777
## 15 105.584090 133.093952 123.203084 52.076866 174.441967 88.639720 281.921975
## 16 150.973508 177.022597 164.742223 87.401373 214.827838 114.734476 327.638520
## 17 278.628785 250.818660 261.512906 339.696924 211.641206 315.773653 111.489910
## 18 60.975405 86.833173 75.199734 13.638182 126.641226 46.957428 237.406824
## 19 43.829214 63.206012 49.213819 36.262929 98.208961 26.495283 212.704020
## 20 225.690053 251.761792 239.296887 161.660137 288.686681 185.760599 402.385387
## 21 120.933866 94.005319 107.042048 185.070257 65.642974 168.896418 57.818682
## 22 74.330344 49.789557 65.467549 140.794176 46.357308 129.745906 103.802697
## 23 21.400935 47.222876 37.828561 47.116876 89.286057 51.039201 197.544932
## 24 66.595796 39.255573 48.187135 126.083306 21.470911 107.675438 119.536605
## 25 150.884061 127.882759 143.453825 217.729190 110.154437 207.829257 45.099889
## 26 72.346389 94.031909 79.605276 17.663522 127.600940 30.967725 243.548763
## 27 74.806417 52.057660 67.992647 141.357702 52.383203 132.992481 104.527508
## 28 187.157688 160.505452 173.432984 251.419967 129.081370 234.501599 14.560220
## 29 78.759126 96.286032 81.547532 41.243181 123.276113 18.547237 242.059910
## 30 247.236729 221.092741 234.305356 311.817254 190.593809 295.880043 72.013888
## 31 334.965670 307.762896 319.704551 398.047736 271.377965 377.047742 159.793617
## 32 90.105494 62.936476 68.278840 143.982638 28.687977 121.885192 110.394746
## 33 46.797436 72.622311 61.457302 23.409400 113.745330 47.191101 222.872161
## 34 142.116150 117.673276 132.627297 208.386660 96.452061 196.667232 41.097445
## 35 99.100959 76.072334 91.902122 165.906600 67.668309 156.428898 83.168504
## 36 196.361911 170.299736 183.942926 261.728867 140.875832 245.521893 22.847319
## 37 40.373258 24.979992 19.570386 90.421236 40.398020 68.782265 157.378525
## 38 141.672157 115.000000 128.327706 206.487288 84.492603 189.235303 37.269290
## 39 83.827203 64.583280 61.497967 124.205475 39.331921 90.432295 149.288312
## 40 18.814888 30.133038 21.702534 67.082039 70.085662 56.559703 179.075403
## 41 71.909666 44.575778 57.775427 135.687140 33.271610 120.374416 108.106429
## 42 41.255303 22.405357 23.302360 95.864488 38.858718 75.359140 151.980262
## 43 199.897474 174.312937 188.164821 265.260250 145.585027 250.695034 25.826343
## 44 78.166489 50.833060 62.697687 140.705366 23.537205 121.420756 105.252078
## 45 131.571273 104.177733 116.370099 194.717744 70.901340 175.982954 51.797683
## 8 9 10 11 12 13 14
## 2
## 3
## 4
## 5
## 6
## 7
## 8
## 9 36.055513
## 10 186.257886 156.933107
## 11 185.226888 150.854234 57.105166
## 12 37.603191 64.513564 220.726075 214.520395
## 13 321.504277 288.223871 143.913168 138.780402 352.467020
## 14 63.835727 28.407745 131.723195 122.808794 92.179173 260.372810
## 15 77.472576 42.638011 139.592263 120.312094 97.979590 258.741183 25.079872
## 16 25.865034 12.529964 168.668314 162.603813 52.754147 300.113312 40.323690
## 17 446.866871 413.630270 266.180390 263.975378 477.855627 125.678160 385.765473
## 18 113.868345 78.778170 92.768529 72.876608 141.915468 211.194223 50.980388
## 19 139.107872 105.636168 60.786512 47.937459 170.020587 182.756669 78.140898
## 20 53.084838 86.614087 238.968617 237.248815 28.142495 374.159057 114.799826
## 21 293.821374 259.235414 129.564656 108.986238 322.485659 44.429720 231.183909
## 22 248.457240 213.211163 101.543094 66.257075 275.606604 89.397987 185.164791
## 23 153.596875 118.439858 71.456280 34.942810 181.422160 172.704951 90.360390
## 24 233.655730 199.647189 72.794231 49.819675 263.535576 90.133235 171.545912
## 25 325.056918 289.382100 174.441967 144.038189 350.385502 77.051931 261.417291
## 26 109.334350 77.498387 82.680106 78.453808 141.633329 212.661703 51.816986
## 27 249.098374 213.630522 107.433700 68.080834 275.481397 93.685645 185.566700
## 28 360.349830 325.717669 191.744622 175.262660 388.826439 54.543561 297.612164
## 29 117.136672 88.232647 70.021425 81.289606 151.416644 207.975960 64.869099
## 30 420.967932 386.157999 252.709319 236.074141 448.822905 111.646764 358.121488
## 31 506.480009 472.484920 329.019756 321.905266 536.199590 186.077941 444.440097
## 32 251.274750 218.574930 78.657485 71.735626 282.830338 72.318739 191.201464
## 33 128.740048 93.562813 85.533619 58.711157 156.345771 197.456324 65.673435
## 34 316.753848 281.426722 161.117969 133.865604 343.300160 62.785349 253.448220
## 35 273.161125 237.632069 127.180973 92.412120 299.203944 81.473922 209.685479
## 36 370.110794 335.150712 203.740030 185.480457 397.846704 69.000000 307.003257
## 37 196.310978 162.941707 42.308392 22.605309 227.248762 125.558751 135.148067
## 38 314.723688 280.048210 148.232925 130.146072 343.253551 37.067506 251.912683
## 39 223.250980 192.595431 38.613469 65.145990 256.844311 106.639580 166.210710
## 40 172.644143 138.195514 57.602083 21.610183 201.747367 152.384382 110.512443
## 41 243.632921 209.057408 87.561407 59.766211 272.405947 84.994117 181.102181
## 42 201.553963 167.928556 48.352870 27.294688 232.025861 121.642920 140.296115
## 43 374.207162 339.132717 209.930941 189.615400 401.523349 75.828754 310.988746
## 44 247.741801 213.560296 83.868945 65.092242 277.333734 77.890949 185.566700
## 45 303.052801 268.843821 133.577693 118.709730 332.480075 31.591138 240.860956
## 15 16 17 18 19 20 21
## 2
## 3
## 4
## 5
## 6
## 7
## 8
## 9
## 10
## 11
## 12
## 13
## 14
## 15
## 16 51.720402
## 17 383.648276 425.599577
## 18 49.376108 90.305039 336.556087
## 19 81.111035 117.686023 308.060059 33.120990
## 20 123.539467 74.799733 499.607846 165.075740 191.684637
## 21 226.422172 271.001845 159.602632 180.784402 155.531347 345.723878
## 22 178.815547 224.957774 208.357865 135.014814 112.320969 299.671487 49.739320
## 23 86.162637 130.126861 297.650802 40.049969 25.670995 204.875572 141.134687
## 24 169.342848 211.541958 214.888343 122.372383 95.005263 285.956290 63.576725
## 25 252.653913 300.883698 154.201167 211.589225 190.564950 375.318531 51.312766
## 26 60.860496 88.898819 338.180425 24.738634 33.331667 161.925909 186.303516
## 27 178.140394 225.199911 211.073447 135.454790 114.459600 299.869972 52.829916
## 28 292.349106 337.468517 99.889939 247.228639 221.930169 412.228092 66.700825
## 29 77.980767 99.679486 332.585327 44.237993 37.229021 169.631955 185.132385
## 30 351.946019 397.827852 69.756720 307.574381 282.961128 472.618239 127.659704
## 31 440.397548 484.354209 66.226883 394.418559 367.449316 558.873868 214.114455
## 32 191.120381 230.299805 196.913687 142.425419 113.648581 304.044405 56.586217
## 33 62.064483 105.047608 322.636018 15.620499 25.980762 179.833256 166.412139
## 34 245.928851 292.984641 151.772857 203.004926 180.709712 367.642489 34.525353
## 35 201.883630 249.262913 191.350464 159.759194 138.405202 323.841010 38.366652
## 36 300.961792 346.956770 98.071403 256.846258 232.058182 421.710801 77.723870
## 37 135.336617 174.868522 250.974102 87.120606 57.853263 248.809164 100.672737
## 38 246.975707 291.893816 140.096395 201.779583 176.295207 366.571957 22.671568
## 39 170.994152 204.518948 228.015350 122.877988 90.575935 276.034418 97.416631
## 40 108.332821 150.196538 277.019855 61.335145 36.482873 224.619679 121.995902
## 41 177.039544 220.952484 207.574083 131.007633 105.470375 295.619688 50.931326
## 42 139.606590 179.936100 246.499493 91.727858 63.221832 253.964564 94.905216
## 43 304.248254 350.744922 100.652869 260.532148 236.761483 425.505582 82.134037
## 44 182.696470 225.532703 201.578769 136.088207 109.064201 299.913321 49.162994
## 45 237.097027 280.684877 147.847895 190.727554 164.310681 355.236541 14.832397
## 22 23 24 25 26 27 28
## 2
## 3
## 4
## 5
## 6
## 7
## 8
## 9
## 10
## 11
## 12
## 13
## 14
## 15
## 16
## 17
## 18
## 19
## 20
## 21
## 22
## 23 95.115719
## 24 34.785054 83.874907
## 25 78.555713 172.023254 104.110518
## 26 143.732390 51.903757 126.043643 221.643858
## 27 10.440307 95.801879 39.837169 76.511437 145.306572
## 28 114.162165 207.533130 128.292634 56.973678 252.701405 115.325626
## 29 145.017240 60.373835 124.442758 223.071737 24.145393 147.929037 251.003984
## 30 173.721041 267.910433 189.628584 104.995238 313.671803 174.120648 61.627916
## 31 262.379496 354.925344 273.420921 197.403141 397.866812 263.890129 148.734663
## 32 52.611786 106.042444 32.155870 105.938661 142.341140 59.101607 116.511802
## 33 120.428402 26.267851 108.217374 196.819714 33.585711 120.623381 232.667144
## 34 69.021736 163.263591 92.552688 20.174241 211.459216 68.593003 52.659282
## 35 26.832816 120.129097 57.532599 52.640289 169.726250 25.396850 94.132885
## 36 122.356038 216.942389 138.906443 56.850682 263.419817 123.085336 17.832555
## 37 63.960926 51.400389 40.360872 140.335313 88.056800 68.190908 166.427161
## 38 69.166466 161.922821 83.701852 42.011903 207.410222 71.644958 47.063787
## 39 80.523289 92.298429 50.318983 144.391828 117.239072 87.732548 156.112139
## 40 77.633756 24.779023 65.398777 155.916644 67.985293 80.510869 188.568290
## 41 17.776389 91.493169 22.715633 89.314053 136.956197 26.627054 117.179350
## 42 57.384667 54.863467 39.102430 134.208793 94.021274 62.864935 161.052786
## 43 126.506917 220.728340 144.076369 57.714816 267.478971 126.321020 22.781571
## 44 28.195744 96.840074 23.937418 91.071401 140.235516 36.687873 114.568757
## 45 62.241465 151.297720 72.083285 56.700970 194.902540 66.324958 59.354865
## 29 30 31 32 33 34 35
## 2
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## 30 312.411587
## 31 393.737222 95.036835
## 32 139.082709 176.926538 256.972761
## 33 50.309045 292.878815 380.123664 129.170430
## 34 212.136748 107.363867 198.824043 90.166513 188.422398
## 35 171.610023 151.377013 242.072303 68.425142 145.006896 45.782093
## 36 261.902654 53.516353 142.407865 129.888414 242.177621 58.300943 100.254676
## 37 84.846921 227.907876 310.609079 58.983048 74.739548 128.650690 90.548330
## 38 205.372832 108.023146 193.693056 76.197113 187.464663 27.386128 52.744668
## 39 106.836323 216.631023 291.082463 49.010203 112.627705 130.376378 102.635277
## 40 69.935685 249.186677 334.959699 85.994186 48.805737 145.886943 103.629146
## 41 136.491758 177.834192 264.062493 37.067506 116.760439 77.162167 40.521599
## 42 90.879040 222.252109 305.542141 56.524331 79.422919 122.143358 83.994047
## 43 266.788306 49.507575 140.907771 135.040735 245.847514 59.581876 103.913426
## 44 137.298944 175.880641 259.449417 33.541020 122.515305 77.890949 47.233463
## 45 192.286245 120.494813 203.928909 60.299254 176.688992 39.319207 52.211110
## 36 37 38 39 40 41 42
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## 37 177.285081
## 38 56.964901 120.875969
## 39 168.264672 43.829214 114.026313
## 40 198.186781 33.105891 142.642911 72.835431
## 41 127.000000 53.563047 71.791364 64.899923 71.533209
## 42 171.592541 13.711309 115.078234 46.010868 32.680269 46.701178
## 43 16.093477 182.118094 62.498000 174.979999 202.847233 132.053020 176.632387
## 44 124.891953 53.441557 68.242216 56.595053 76.236474 16.583124 47.053161
## 45 71.714713 108.208133 17.776389 99.247166 131.274522 61.040970 102.425583
## 43 44
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## 44 130.188325
## 45 76.993506 56.329388hdold=hclust(Dyold)
plot(hdold,labels=varold$id)
#what explain the variability of grwoth curve in each Diet Gene control protein intake