768 lines
37 KiB
Plaintext
768 lines
37 KiB
Plaintext
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R version 3.4.3 Patched (2018-02-11 r74243) -- "Kite-Eating Tree"
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Copyright (C) 2018 The R Foundation for Statistical Computing
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Platform: x86_64-apple-darwin17.4.0 (64-bit)
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R is free software and comes with ABSOLUTELY NO WARRANTY.
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You are welcome to redistribute it under certain conditions.
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Type 'license()' or 'licence()' for distribution details.
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R is a collaborative project with many contributors.
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Type 'contributors()' for more information and
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'citation()' on how to cite R or R packages in publications.
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Type 'demo()' for some demos, 'help()' for on-line help, or
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'help.start()' for an HTML browser interface to help.
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Type 'q()' to quit R.
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> library(nlme)
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>
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> op <- options(digits = 3) # reduce rounding differences
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>
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> Ovary[c(1,272), 2] <- NA
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> fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
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+ correlation = corAR1(form = ~ 1 | Mare), na.action=na.exclude)
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> fitted(fm1)
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1 2 3 4 5 6 7 8 9 10 11 12 13
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NA 12.86 12.06 11.27 10.55 9.96 9.54 9.34 9.36 9.60 10.05 10.67 11.41
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14 15 16 17 18 19 20 21 22 23 24 25 26
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12.21 13.00 13.71 14.31 14.72 14.93 14.91 14.66 14.21 13.59 12.86 12.06 11.27
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27 28 29 30 31 32 33 34 35 36 37 38 39
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10.55 9.96 9.54 13.79 13.01 12.14 11.27 10.49 9.86 9.46 9.32 9.45 9.85
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40 41 42 43 44 45 46 47 48 49 50 51 52
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10.47 11.26 12.13 13.00 13.78 14.41 14.81 14.95 14.81 14.41 13.79 13.01 12.14
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53 54 55 56 57 58 59 60 61 62 63 64 65
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11.27 10.49 9.86 9.46 13.90 13.10 12.19 11.27 10.45 9.81 9.42 9.32 9.53
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66 67 68 69 70 71 72 73 74 75 76 77 78
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10.03 10.75 11.62 12.54 13.42 14.17 14.69 14.93 14.87 14.52 13.90 13.10 12.19
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79 80 81 82 83 84 85 86 87 88 89 90 91
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11.27 10.45 9.81 9.42 13.59 12.86 12.06 11.27 10.55 9.96 9.54 9.34 9.36
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92 93 94 95 96 97 98 99 100 101 102 103 104
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9.60 10.05 10.67 11.41 12.21 13.00 13.71 14.31 14.72 14.93 14.91 14.66 14.21
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105 106 107 108 109 110 111 112 113 114 115 116 117
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13.59 12.86 12.06 11.27 10.55 9.96 9.54 13.59 12.86 12.06 11.27 10.55 9.96
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118 119 120 121 122 123 124 125 126 127 128 129 130
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9.54 9.34 9.36 9.60 10.05 10.67 11.41 12.21 13.00 13.71 14.31 14.72 14.93
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131 132 133 134 135 136 137 138 139 140 141 142 143
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14.91 14.66 14.21 13.59 12.86 12.06 11.27 10.55 9.96 9.54 13.59 12.86 12.06
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144 145 146 147 148 149 150 151 152 153 154 155 156
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11.27 10.55 9.96 9.54 9.34 9.36 9.60 10.05 10.67 11.41 12.21 13.00 13.71
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157 158 159 160 161 162 163 164 165 166 167 168 169
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14.31 14.72 14.93 14.91 14.66 14.21 13.59 12.86 12.06 11.27 10.55 9.96 9.54
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170 171 172 173 174 175 176 177 178 179 180 181 182
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13.79 13.01 12.14 11.27 10.49 9.86 9.46 9.32 9.45 9.85 10.47 11.26 12.13
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183 184 185 186 187 188 189 190 191 192 193 194 195
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13.00 13.78 14.41 14.81 14.95 14.81 14.41 13.79 13.01 12.14 11.27 10.49 9.86
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196 197 198 199 200 201 202 203 204 205 206 207 208
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9.46 13.42 12.73 11.99 11.27 10.61 10.05 9.63 9.38 9.32 9.45 9.77 10.24
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209 210 211 212 213 214 215 216 217 218 219 220 221
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10.85 11.54 12.27 13.00 13.66 14.22 14.64 14.88 14.94 14.81 14.50 14.02 13.42
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222 223 224 225 226 227 228 229 230 231 232 233 234
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12.73 11.99 11.27 10.61 10.05 9.63 14.02 13.19 12.24 11.27 10.41 9.75 9.38
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235 236 237 238 239 240 241 242 243 244 245 246 247
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9.35 9.64 10.24 11.07 12.03 13.00 13.86 14.52 14.88 14.92 14.62 14.02 13.19
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248 249 250 251 252 253 254 255 256 257 258 259 260
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12.24 11.27 10.41 9.75 9.38 13.59 12.86 12.06 11.27 10.55 9.96 9.54 9.34
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261 262 263 264 265 266 267 268 269 270 271 272 273
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9.36 9.60 10.05 10.67 11.41 12.21 13.00 13.71 14.31 14.72 14.93 NA 14.66
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274 275 276 277 278 279 280 281 282 283 284 285 286
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14.21 13.59 12.86 12.06 11.27 10.55 9.96 9.54 13.79 13.01 12.14 11.27 10.49
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287 288 289 290 291 292 293 294 295 296 297 298 299
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9.86 9.46 9.32 9.45 9.85 10.47 11.26 12.13 13.00 13.78 14.41 14.81 14.95
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300 301 302 303 304 305 306 307 308
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14.81 14.41 13.79 13.01 12.14 11.27 10.49 9.86 9.46
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attr(,"label")
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[1] "Fitted values"
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> residuals(fm1)
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1 2 3 4 5 6 7 8
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NA 2.1439 6.9394 4.7290 2.4488 0.0405 2.4560 4.6618
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9 10 11 12 13 14 15 16
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3.6412 10.3959 11.9456 4.3270 6.5900 4.7945 1.0049 4.2851
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17 18 19 20 21 22 23 24
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-0.3066 1.2779 2.0720 3.0927 3.3380 2.7883 0.4069 -0.8561
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25 26 27 28 29 30 31 32
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-0.0606 2.7290 -0.5512 1.0405 6.4560 -7.7936 -7.0102 -4.1410
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33 34 35 36 37 38 39 40
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-4.2710 5.5146 0.1390 3.5409 -0.3189 -2.4542 -3.8517 -2.4725
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41 42 43 44 45 46 47 48
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-3.2559 -6.1251 -4.9951 -6.7808 -5.4051 -8.8070 -10.9472 -9.8119
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49 50 51 52 53 54 55 56
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-6.4144 -2.7936 -0.0102 -2.1410 -5.2710 -3.4854 -3.8610 -4.4591
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57 58 59 60 61 62 63 64
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-0.9042 -2.0982 -2.1875 -5.2710 -2.4479 -3.8074 -0.4189 -0.3245
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65 66 67 68 69 70 71 72
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0.4655 -2.0261 3.2540 1.3838 1.4576 2.5757 5.8338 6.3122
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73 74 75 76 77 78 79 80
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10.0674 8.1260 4.4817 8.0958 2.9018 8.8125 7.7290 9.5521
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81 82 83 84 85 86 87 88
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7.1926 14.5811 -4.5931 -3.8561 -5.0606 -5.2710 -3.5512 -3.9595
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89 90 91 92 93 94 95 96
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-8.5440 -8.3382 -8.3588 -4.6041 -4.0544 -7.6730 -6.4100 -9.2055
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97 98 99 100 101 102 103 104
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-6.9951 -5.7149 -8.3066 -9.7221 -8.9280 -6.9073 -3.6620 -0.2117
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105 106 107 108 109 110 111 112
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-5.5931 -3.8561 -2.0606 -4.2710 -3.5512 -3.9595 1.4560 -3.5931
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113 114 115 116 117 118 119 120
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-0.8561 -0.0606 5.7290 -1.5512 0.0405 -6.5440 2.6618 3.6412
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121 122 123 124 125 126 127 128
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-0.6041 -6.0544 -3.6730 -7.4100 -0.2055 1.0049 -1.7149 0.6934
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129 130 131 132 133 134 135 136
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2.2779 0.0720 -1.9073 3.3380 4.7883 -0.5931 -3.8561 -0.0606
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137 138 139 140 141 142 143 144
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-3.2710 -0.5512 -4.9595 4.4560 2.4069 4.1439 0.9394 5.7290
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145 146 147 148 149 150 151 152
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4.4488 -0.9595 -1.5440 -4.3382 -0.3588 -1.6041 -2.0544 2.3270
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153 154 155 156 157 158 159 160
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2.5900 0.7945 1.0049 0.2851 -3.3066 2.2779 6.0720 6.0927
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161 162 163 164 165 166 167 168
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6.3380 5.7883 3.4069 5.1439 9.9394 -1.2710 0.4488 1.0405
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169 170 171 172 173 174 175 176
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2.4560 4.2064 -0.0102 1.8590 0.7290 0.5146 -1.8610 -4.4591
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177 178 179 180 181 182 183 184
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-1.3189 0.5458 1.1483 -0.4725 0.7441 -2.1251 -3.9951 -1.7808
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185 186 187 188 189 190 191 192
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-0.4051 1.1930 -1.9472 -3.8119 -1.4144 -0.7936 -2.0102 -1.1410
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193 194 195 196 197 198 199 200
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-3.2710 3.5146 -5.8610 -2.4591 -0.4177 -3.7259 3.0063 3.7290
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201 202 203 204 205 206 207 208
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1.3930 -2.0471 0.3708 -3.3821 -0.3224 -1.4542 0.2314 -4.2441
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209 210 211 212 213 214 215 216
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-2.8484 1.4598 -0.2724 -0.9951 1.3409 6.7809 10.3631 6.1159
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217 218 219 220 221 222 223 224
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6.0562 9.1881 5.5025 5.9780 4.5823 7.2741 8.0063 7.7290
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225 226 227 228 229 230 231 232
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1.3930 -3.0471 -1.6292 -4.0220 0.8054 -0.2392 -1.2710 -3.4068
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233 234 235 236 237 238 239 240
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2.2493 0.6179 -1.3452 0.3554 4.7559 3.9285 -0.0269 6.0049
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241 242 243 244 245 246 247 248
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1.1406 1.4846 0.1159 2.0791 -0.6215 1.9780 1.8054 -1.2392
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249 250 251 252 253 254 255 256
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-1.2710 -3.4067 -5.7507 -1.3821 -2.5931 3.1439 2.9394 0.7290
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257 258 259 260 261 262 263 264
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0.4488 -3.9595 1.4560 2.6618 1.6412 6.3959 4.9456 0.3270
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265 266 267 268 269 270 271 272
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-4.4100 1.7945 7.0049 8.2851 8.6934 6.2779 6.0720 NA
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273 274 275 276 277 278 279 280
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7.3380 7.7883 3.4069 4.1439 4.9394 5.7290 3.4488 2.0405
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281 282 283 284 285 286 287 288
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1.4560 -4.7936 -5.0102 -4.1410 -3.2710 -2.4854 -3.8610 -2.4591
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289 290 291 292 293 294 295 296
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-1.3189 0.5458 0.1483 3.5275 1.7441 -4.1251 -4.9951 -5.7808
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297 298 299 300 301 302 303 304
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-5.4051 1.1930 -2.9472 -4.8119 -2.4144 -1.7936 -4.0102 -6.1410
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305 306 307 308
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-2.2710 -3.4854 -4.8610 -4.4591
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attr(,"std")
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[1] NA 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[16] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[31] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[46] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[61] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[76] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[91] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[106] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[121] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[136] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[151] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[166] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[181] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[196] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[211] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[226] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[241] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[256] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[271] 4.58 NA 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[286] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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[301] 4.58 4.58 4.58 4.58 4.58 4.58 4.58 4.58
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attr(,"label")
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[1] "Residuals"
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> summary(fm1)
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Generalized least squares fit by REML
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Model: follicles ~ sin(2 * pi * Time) + cos(2 * pi * Time)
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Data: Ovary
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AIC BIC logLik
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1560 1579 -775
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Correlation Structure: AR(1)
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Formula: ~1 | Mare
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Parameter estimate(s):
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Phi
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0.75
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Coefficients:
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Value Std.Error t-value p-value
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(Intercept) 12.13 0.657 18.46 0.000
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sin(2 * pi * Time) -2.68 0.644 -4.16 0.000
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cos(2 * pi * Time) -0.86 0.690 -1.25 0.213
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Correlation:
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(Intr) s(*p*T
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sin(2 * pi * Time) -0.007
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cos(2 * pi * Time) -0.295 0.003
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Standardized residuals:
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Min Q1 Med Q3 Max
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-2.3897 -0.7565 -0.0132 0.6396 3.1830
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Residual standard error: 4.58
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Degrees of freedom: 306 total; 303 residual
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>
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> Orthodont[100:102, 2] <- NA
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> fm2 <- lme(distance ~ age + Sex, data = Orthodont, random = ~ 1,
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+ na.action=na.exclude)
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> fitted(fm2, 0:1)
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fixed Subject
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1 23.0 25.4
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2 24.3 26.7
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3 25.6 28.0
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4 27.0 29.4
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5 23.0 21.6
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6 24.3 22.9
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7 25.6 24.3
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8 27.0 25.6
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9 23.0 22.3
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10 24.3 23.7
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11 25.6 25.0
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12 27.0 26.4
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13 23.0 24.4
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14 24.3 25.7
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15 25.6 27.1
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16 27.0 28.4
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17 23.0 21.3
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18 24.3 22.6
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19 25.6 23.9
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20 27.0 25.3
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21 23.0 24.2
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22 24.3 25.5
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23 25.6 26.9
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24 27.0 28.2
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25 23.0 21.9
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26 24.3 23.2
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27 25.6 24.6
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28 27.0 25.9
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29 23.0 22.0
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30 24.3 23.4
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31 25.6 24.7
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32 27.0 26.0
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33 23.0 23.1
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34 24.3 24.4
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35 25.6 25.8
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36 27.0 27.1
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37 23.0 26.9
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38 24.3 28.2
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39 25.6 29.5
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40 27.0 30.9
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41 23.0 21.8
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42 24.3 23.1
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43 25.6 24.5
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44 27.0 25.8
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45 23.0 22.3
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46 24.3 23.7
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47 25.6 25.0
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48 27.0 26.4
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49 23.0 22.3
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50 24.3 23.7
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51 25.6 25.0
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52 27.0 26.4
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53 23.0 22.9
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54 24.3 24.2
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55 25.6 25.6
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56 27.0 26.9
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57 23.0 23.7
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58 24.3 25.1
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59 25.6 26.4
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60 27.0 27.8
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61 23.0 21.3
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62 24.3 22.6
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63 25.6 23.9
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64 27.0 25.3
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65 20.7 19.5
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66 22.0 20.9
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67 23.4 22.2
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68 24.7 23.6
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69 20.7 20.9
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70 22.0 22.3
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71 23.4 23.6
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72 24.7 25.0
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73 20.7 21.6
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74 22.0 22.9
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75 23.4 24.3
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76 24.7 25.6
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77 20.7 22.6
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78 22.0 23.9
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79 23.4 25.2
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80 24.7 26.6
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81 20.7 20.6
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82 22.0 22.0
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83 23.4 23.3
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84 24.7 24.6
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85 20.7 19.3
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86 22.0 20.7
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87 23.4 22.0
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88 24.7 23.4
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89 20.7 20.9
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90 22.0 22.3
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91 23.4 23.6
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92 24.7 25.0
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93 20.7 21.3
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94 22.0 22.6
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95 23.4 24.0
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96 24.7 25.3
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97 20.7 19.8
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98 22.0 21.2
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99 23.4 22.5
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100 NA NA
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101 NA NA
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102 NA NA
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103 23.4 19.7
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104 24.7 21.1
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105 20.7 23.9
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106 22.0 25.2
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107 23.4 26.5
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108 24.7 27.9
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> fitted(fm2)
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M01 M01 M01 M01 M02 M02 M02 M02 M03 M03 M03 M03 M04 M04 M04 M04
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25.4 26.7 28.0 29.4 21.6 22.9 24.3 25.6 22.3 23.7 25.0 26.4 24.4 25.7 27.1 28.4
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M05 M05 M05 M05 M06 M06 M06 M06 M07 M07 M07 M07 M08 M08 M08 M08
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21.3 22.6 23.9 25.3 24.2 25.5 26.9 28.2 21.9 23.2 24.6 25.9 22.0 23.4 24.7 26.0
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M09 M09 M09 M09 M10 M10 M10 M10 M11 M11 M11 M11 M12 M12 M12 M12
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23.1 24.4 25.8 27.1 26.9 28.2 29.5 30.9 21.8 23.1 24.5 25.8 22.3 23.7 25.0 26.4
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M13 M13 M13 M13 M14 M14 M14 M14 M15 M15 M15 M15 M16 M16 M16 M16
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22.3 23.7 25.0 26.4 22.9 24.2 25.6 26.9 23.7 25.1 26.4 27.8 21.3 22.6 23.9 25.3
|
|
F01 F01 F01 F01 F02 F02 F02 F02 F03 F03 F03 F03 F04 F04 F04 F04
|
|
19.5 20.9 22.2 23.6 20.9 22.3 23.6 25.0 21.6 22.9 24.3 25.6 22.6 23.9 25.2 26.6
|
|
F05 F05 F05 F05 F06 F06 F06 F06 F07 F07 F07 F07 F08 F08 F08 F08
|
|
20.6 22.0 23.3 24.6 19.3 20.7 22.0 23.4 20.9 22.3 23.6 25.0 21.3 22.6 24.0 25.3
|
|
F09 F09 F09 <NA> <NA> <NA> F10 F10 F11 F11 F11 F11
|
|
19.8 21.2 22.5 NA NA NA 19.7 21.1 23.9 25.2 26.5 27.9
|
|
attr(,"label")
|
|
[1] "Fitted values (mm)"
|
|
> residuals(fm2, 0:1)
|
|
fixed Subject
|
|
1 3.0453 0.64827
|
|
2 0.7026 -1.69443
|
|
3 3.3599 0.96286
|
|
4 4.0172 1.62016
|
|
5 -1.4547 -0.08111
|
|
6 -1.7974 -0.42382
|
|
7 -2.6401 -1.26652
|
|
8 -0.4828 0.89078
|
|
9 0.0453 0.66476
|
|
10 -1.7974 -1.17794
|
|
11 -1.6401 -1.02064
|
|
12 0.5172 1.13665
|
|
13 2.5453 1.11786
|
|
14 3.2026 1.77515
|
|
15 0.8599 -0.56755
|
|
16 0.0172 -1.41025
|
|
17 -2.9547 -1.25792
|
|
18 -0.7974 0.89938
|
|
19 -3.1401 -1.44332
|
|
20 -0.9828 0.71397
|
|
21 1.5453 0.33332
|
|
22 1.2026 -0.00938
|
|
23 1.3599 0.14791
|
|
24 1.5172 0.30521
|
|
25 -0.9547 0.09569
|
|
26 -2.2974 -1.24701
|
|
27 -1.1401 -0.08972
|
|
28 -0.4828 0.56758
|
|
29 1.0453 1.98796
|
|
30 -2.7974 -1.85474
|
|
31 -1.1401 -0.19745
|
|
32 -1.4828 -0.54015
|
|
33 0.0453 -0.08936
|
|
34 -3.7974 -3.93206
|
|
35 5.3599 5.22523
|
|
36 -0.9828 -1.11747
|
|
37 4.5453 0.64002
|
|
38 3.7026 -0.20268
|
|
39 5.3599 1.45461
|
|
40 4.5172 0.61191
|
|
41 0.0453 1.20342
|
|
42 -1.2974 -0.13928
|
|
43 -2.1401 -0.98198
|
|
44 -1.9828 -0.82469
|
|
45 -1.4547 -0.83524
|
|
46 -0.7974 -0.17794
|
|
47 -1.6401 -1.02064
|
|
48 1.0172 1.63665
|
|
49 -5.9547 -5.33524
|
|
50 0.2026 0.82206
|
|
51 0.3599 0.97936
|
|
52 2.5172 3.13665
|
|
53 -0.4547 -0.37390
|
|
54 1.2026 1.28340
|
|
55 -0.1401 -0.05930
|
|
56 -0.9828 -0.90201
|
|
57 0.0453 -0.73575
|
|
58 0.2026 -0.57846
|
|
59 0.3599 -0.42116
|
|
60 3.0172 2.23614
|
|
61 -0.9547 0.74208
|
|
62 -2.7974 -1.10062
|
|
63 -2.1401 -0.44332
|
|
64 -1.9828 -0.28603
|
|
65 0.3135 1.45594
|
|
66 -2.0292 -0.88676
|
|
67 -1.8719 -0.72947
|
|
68 -1.7146 -0.57217
|
|
69 0.3135 0.05543
|
|
70 -0.5292 -0.78728
|
|
71 0.6281 0.37002
|
|
72 0.7854 0.52732
|
|
73 -0.1865 -1.09097
|
|
74 1.9708 1.06633
|
|
75 1.1281 0.22363
|
|
76 1.2854 0.38092
|
|
77 2.8135 0.93945
|
|
78 2.4708 0.59674
|
|
79 1.6281 -0.24596
|
|
80 1.7854 -0.08866
|
|
81 0.8135 0.87862
|
|
82 0.9708 1.03592
|
|
83 -0.8719 -0.80678
|
|
84 -1.2146 -1.14949
|
|
85 -0.6865 0.67141
|
|
86 -1.0292 0.32870
|
|
87 -2.3719 -1.01400
|
|
88 -2.2146 -0.85670
|
|
89 0.8135 0.55543
|
|
90 0.4708 0.21272
|
|
91 -0.3719 -0.62998
|
|
92 0.2854 0.02732
|
|
93 2.3135 1.73223
|
|
94 0.9708 0.38953
|
|
95 0.1281 -0.45318
|
|
96 -0.7146 -1.29588
|
|
97 -0.6865 0.16148
|
|
98 -1.0292 -0.18122
|
|
99 -1.3719 -0.52392
|
|
100 NA NA
|
|
101 NA NA
|
|
102 NA NA
|
|
103 -4.3719 -0.74222
|
|
104 -5.2146 -1.58492
|
|
105 3.8135 0.64666
|
|
106 2.9708 -0.19604
|
|
107 4.6281 1.46126
|
|
108 3.2854 0.11855
|
|
> round(residuals(fm2), 2)
|
|
M01 M01 M01 M01 M02 M02 M02 M02 M03 M03 M03 M03 M04
|
|
0.65 -1.69 0.96 1.62 -0.08 -0.42 -1.27 0.89 0.66 -1.18 -1.02 1.14 1.12
|
|
M04 M04 M04 M05 M05 M05 M05 M06 M06 M06 M06 M07 M07
|
|
1.78 -0.57 -1.41 -1.26 0.90 -1.44 0.71 0.33 -0.01 0.15 0.31 0.10 -1.25
|
|
M07 M07 M08 M08 M08 M08 M09 M09 M09 M09 M10 M10 M10
|
|
-0.09 0.57 1.99 -1.85 -0.20 -0.54 -0.09 -3.93 5.23 -1.12 0.64 -0.20 1.45
|
|
M10 M11 M11 M11 M11 M12 M12 M12 M12 M13 M13 M13 M13
|
|
0.61 1.20 -0.14 -0.98 -0.82 -0.84 -0.18 -1.02 1.64 -5.34 0.82 0.98 3.14
|
|
M14 M14 M14 M14 M15 M15 M15 M15 M16 M16 M16 M16 F01
|
|
-0.37 1.28 -0.06 -0.90 -0.74 -0.58 -0.42 2.24 0.74 -1.10 -0.44 -0.29 1.46
|
|
F01 F01 F01 F02 F02 F02 F02 F03 F03 F03 F03 F04 F04
|
|
-0.89 -0.73 -0.57 0.06 -0.79 0.37 0.53 -1.09 1.07 0.22 0.38 0.94 0.60
|
|
F04 F04 F05 F05 F05 F05 F06 F06 F06 F06 F07 F07 F07
|
|
-0.25 -0.09 0.88 1.04 -0.81 -1.15 0.67 0.33 -1.01 -0.86 0.56 0.21 -0.63
|
|
F07 F08 F08 F08 F08 F09 F09 F09 <NA> <NA> <NA> F10 F10
|
|
0.03 1.73 0.39 -0.45 -1.30 0.16 -0.18 -0.52 NA NA NA -0.74 -1.58
|
|
F11 F11 F11 F11
|
|
0.65 -0.20 1.46 0.12
|
|
attr(,"label")
|
|
[1] "Residuals (mm)"
|
|
> summary(fm2)
|
|
Linear mixed-effects model fit by REML
|
|
Data: Orthodont
|
|
AIC BIC logLik
|
|
437 450 -213
|
|
|
|
Random effects:
|
|
Formula: ~1 | Subject
|
|
(Intercept) Residual
|
|
StdDev: 1.8 1.44
|
|
|
|
Fixed effects: distance ~ age + Sex
|
|
Value Std.Error DF t-value p-value
|
|
(Intercept) 17.58 0.850 77 20.68 0.0000
|
|
age 0.67 0.064 77 10.56 0.0000
|
|
SexFemale -2.27 0.762 25 -2.98 0.0064
|
|
Correlation:
|
|
(Intr) age
|
|
age -0.822
|
|
SexFemale -0.357 -0.006
|
|
|
|
Standardized Within-Group Residuals:
|
|
Min Q1 Med Q3 Max
|
|
-3.7079 -0.5471 -0.0564 0.4666 3.6314
|
|
|
|
Number of Observations: 105
|
|
Number of Groups: 27
|
|
>
|
|
> Soybean[1:5, "Time"] <- NA
|
|
> fm3 <- gnls(weight ~ SSlogis(Time, Asym, xmid, scal), Soybean,
|
|
+ weights = varPower(), na.action=na.exclude)
|
|
> fitted(fm3)
|
|
1 2 3 4 5 6 7 8 9 10 11
|
|
NA NA NA NA NA 7.047 10.958 14.082 15.894 16.756 0.120
|
|
12 13 14 15 16 17 18 19 20 21 22
|
|
0.298 0.726 1.708 3.724 7.047 10.958 15.894 16.756 0.120 0.298 0.726
|
|
23 24 25 26 27 28 29 30 31 32 33
|
|
1.708 3.724 7.047 10.958 14.082 15.894 16.756 0.120 0.298 0.726 1.708
|
|
34 35 36 37 38 39 40 41 42 43 44
|
|
3.724 7.047 10.958 14.082 15.894 16.756 0.120 0.298 0.726 1.708 3.724
|
|
45 46 47 48 49 50 51 52 53 54 55
|
|
7.047 10.958 15.894 0.120 0.298 0.726 1.708 3.724 7.047 10.958 14.082
|
|
56 57 58 59 60 61 62 63 64 65 66
|
|
15.894 16.756 0.120 0.298 0.726 1.708 3.724 7.047 10.958 15.894 16.756
|
|
67 68 69 70 71 72 73 74 75 76 77
|
|
0.120 0.298 0.726 1.708 3.724 7.047 10.958 14.082 15.894 16.756 0.120
|
|
78 79 80 81 82 83 84 85 86 87 88
|
|
0.298 0.726 1.708 3.724 7.047 10.958 14.082 15.894 16.756 0.120 0.298
|
|
89 90 91 92 93 94 95 96 97 98 99
|
|
0.726 1.708 3.724 7.047 10.958 14.082 15.894 16.756 0.120 0.298 0.726
|
|
100 101 102 103 104 105 106 107 108 109 110
|
|
1.708 3.724 7.047 10.958 14.082 15.894 16.756 0.120 0.298 0.726 1.708
|
|
111 112 113 114 115 116 117 118 119 120 121
|
|
3.724 7.047 10.958 14.082 15.894 16.756 0.120 0.298 0.726 1.708 3.724
|
|
122 123 124 125 126 127 128 129 130 131 132
|
|
7.047 10.958 14.082 15.894 16.756 0.120 0.298 0.726 1.708 3.724 7.047
|
|
133 134 135 136 137 138 139 140 141 142 143
|
|
10.958 14.082 15.894 16.756 0.120 0.298 0.726 1.708 3.724 7.047 10.958
|
|
144 145 146 147 148 149 150 151 152 153 154
|
|
14.082 15.894 16.756 0.120 0.298 0.726 1.708 3.724 7.047 10.958 14.082
|
|
155 156 157 158 159 160 161 162 163 164 165
|
|
15.894 16.756 0.120 0.262 0.640 1.517 3.355 10.419 15.706 17.127 0.120
|
|
166 167 168 169 170 171 172 173 174 175 176
|
|
0.262 0.640 1.517 3.355 10.419 15.706 17.127 0.120 0.262 0.640 1.517
|
|
177 178 179 180 181 182 183 184 185 186 187
|
|
3.355 10.419 15.706 17.127 0.120 0.262 0.640 1.517 3.355 10.419 15.706
|
|
188 189 190 191 192 193 194 195 196 197 198
|
|
17.127 0.120 0.262 0.640 1.517 3.355 10.419 15.706 17.127 0.120 0.262
|
|
199 200 201 202 203 204 205 206 207 208 209
|
|
0.640 1.517 3.355 10.419 15.706 17.127 0.120 0.262 0.640 1.517 3.355
|
|
210 211 212 213 214 215 216 217 218 219 220
|
|
10.419 15.706 17.127 0.120 0.262 0.640 1.517 3.355 10.419 15.706 17.127
|
|
221 222 223 224 225 226 227 228 229 230 231
|
|
0.120 0.262 0.640 1.517 3.355 10.419 15.706 17.127 0.120 0.262 0.640
|
|
232 233 234 235 236 237 238 239 240 241 242
|
|
1.517 3.355 10.419 15.706 17.127 0.120 0.262 0.640 1.517 3.355 10.419
|
|
243 244 245 246 247 248 249 250 251 252 253
|
|
15.706 17.127 0.120 0.262 0.640 1.517 3.355 10.419 15.706 17.127 0.120
|
|
254 255 256 257 258 259 260 261 262 263 264
|
|
0.262 0.640 1.517 3.355 10.419 15.706 17.127 0.120 0.262 0.640 1.517
|
|
265 266 267 268 269 270 271 272 273 274 275
|
|
3.355 10.419 15.706 17.127 0.120 0.262 0.640 1.517 3.355 10.419 15.706
|
|
276 277 278 279 280 281 282 283 284 285 286
|
|
17.127 0.120 0.262 0.640 1.517 3.355 10.419 15.706 17.127 0.137 0.385
|
|
287 288 289 290 291 292 293 294 295 296 297
|
|
0.932 2.157 4.121 8.166 14.418 16.897 0.137 0.385 0.932 2.157 4.121
|
|
298 299 300 301 302 303 304 305 306 307 308
|
|
8.166 14.418 16.897 0.137 0.385 0.932 2.157 4.121 8.166 14.418 16.897
|
|
309 310 311 312 313 314 315 316 317 318 319
|
|
0.137 0.385 0.932 2.157 4.121 8.166 14.418 16.897 0.137 0.385 0.932
|
|
320 321 322 323 324 325 326 327 328 329 330
|
|
2.157 4.121 8.166 14.418 16.897 0.137 0.385 0.932 2.157 4.121 8.166
|
|
331 332 333 334 335 336 337 338 339 340 341
|
|
14.418 16.897 0.137 0.385 0.932 2.157 4.121 8.166 14.418 16.897 0.137
|
|
342 343 344 345 346 347 348 349 350 351 352
|
|
0.385 0.932 2.157 4.121 8.166 14.418 16.897 0.137 0.385 0.932 2.157
|
|
353 354 355 356 357 358 359 360 361 362 363
|
|
4.121 8.166 14.418 16.897 0.137 0.385 0.932 2.157 4.121 8.166 14.418
|
|
364 365 366 367 368 369 370 371 372 373 374
|
|
16.897 0.137 0.385 0.932 2.157 4.121 8.166 14.418 16.897 0.137 0.385
|
|
375 376 377 378 379 380 381 382 383 384 385
|
|
0.932 2.157 4.121 8.166 14.418 16.897 0.137 0.385 0.932 2.157 4.121
|
|
386 387 388 389 390 391 392 393 394 395 396
|
|
8.166 14.418 16.897 0.137 0.385 0.932 2.157 4.121 8.166 14.418 16.897
|
|
397 398 399 400 401 402 403 404 405 406 407
|
|
0.137 0.385 0.932 2.157 4.121 8.166 14.418 16.897 0.137 0.385 0.932
|
|
408 409 410 411 412
|
|
2.157 4.121 8.166 14.418 16.897
|
|
attr(,"label")
|
|
[1] "Fitted values (g)"
|
|
> residuals(fm3)
|
|
1 2 3 4 5 6 7 8
|
|
NA NA NA NA NA -0.81724 -2.24772 -0.73203
|
|
9 10 11 12 13 14 15 16
|
|
0.44774 0.99485 -0.01627 -0.02870 0.05209 0.41153 -0.79366 -1.75724
|
|
17 18 19 20 21 22 23 24
|
|
-1.45772 1.07274 0.99072 -0.01227 -0.00670 -0.05891 0.34153 0.08634
|
|
25 26 27 28 29 30 31 32
|
|
-0.91724 -0.67772 3.99797 4.28854 5.05482 -0.01527 0.00130 0.11809
|
|
33 34 35 36 37 38 39 40
|
|
-0.38847 -1.48366 -2.36724 -2.13772 1.00797 -1.23396 -2.75138 -0.01927
|
|
41 42 43 44 45 46 47 48
|
|
-0.02470 0.12209 0.24153 1.04634 -1.03724 -1.04772 3.36834 -0.01427
|
|
49 50 51 52 53 54 55 56
|
|
0.03930 -0.02691 -0.17847 0.14634 -1.44724 -1.52772 -0.35203 1.48684
|
|
57 58 59 60 61 62 63 64
|
|
3.17632 -0.01827 -0.02270 0.04109 -0.25847 0.22634 -2.10724 -1.31772
|
|
65 66 67 68 69 70 71 72
|
|
1.98604 0.96822 -0.01727 -0.02470 0.01609 -0.29847 -0.71366 -1.78724
|
|
73 74 75 76 77 78 79 80
|
|
-1.14772 -1.23203 2.32021 2.92402 0.01073 0.04030 -0.02491 -0.04847
|
|
81 82 83 84 85 86 87 88
|
|
0.52634 2.19276 1.19228 2.69797 0.03104 0.51632 0.00773 0.10630
|
|
89 90 91 92 93 94 95 96
|
|
0.17109 0.07153 0.18634 0.35276 -0.88772 4.77797 1.11774 10.61402
|
|
97 98 99 100 101 102 103 104
|
|
0.01073 0.08130 0.40009 0.73153 0.16634 -0.13724 1.53228 1.58797
|
|
105 106 107 108 109 110 111 112
|
|
7.86934 4.73482 0.03373 0.05930 0.45509 0.12153 0.98634 3.66276
|
|
113 114 115 116 117 118 119 120
|
|
-1.04772 1.42797 -0.93606 5.04402 0.01873 0.03030 0.20609 0.28153
|
|
121 122 123 124 125 126 127 128
|
|
-0.26366 -0.02724 0.83228 1.74797 0.02687 0.68572 0.01873 0.09130
|
|
129 130 131 132 133 134 135 136
|
|
0.36809 0.42153 0.31634 0.57276 1.52228 3.84797 -1.47226 13.51572
|
|
137 138 139 140 141 142 143 144
|
|
0.02473 0.06830 0.07309 -0.09847 -0.21366 -0.25724 -1.00772 0.45797
|
|
145 146 147 148 149 150 151 152
|
|
3.38604 5.81675 0.00973 0.05730 0.36409 0.57153 0.21634 -2.08724
|
|
153 154 155 156 157 158 159 160
|
|
-0.03772 -0.06203 2.10024 5.61482 -0.07327 -0.12571 -0.36726 -0.53373
|
|
161 162 163 164 165 166 167 168
|
|
-1.55813 -6.30167 -4.66844 -6.72407 -0.08527 -0.14971 -0.37209 -0.46373
|
|
169 170 171 172 173 174 175 176
|
|
-1.63980 -3.69048 -5.39225 -6.03907 -0.07627 -0.11571 -0.27959 -0.74206
|
|
177 178 179 180 181 182 183 184
|
|
-1.71313 -6.67048 -4.83058 -1.09990 -0.07127 -0.16471 -0.41259 -0.68373
|
|
185 186 187 188 189 190 191 192
|
|
-2.00080 -4.43048 -5.12058 -6.21597 -0.08127 -0.14071 -0.36842 -0.85873
|
|
193 194 195 196 197 198 199 200
|
|
-0.96480 -4.93548 -5.76891 -8.23907 -0.09127 -0.16971 -0.38909 -0.97539
|
|
201 202 203 204 205 206 207 208
|
|
-2.29313 -5.58881 -9.43391 -8.54407 -0.07927 -0.11671 -0.23476 -0.75706
|
|
209 210 211 212 213 214 215 216
|
|
-1.86147 -4.17048 -4.59388 -8.24740 -0.08227 -0.13471 -0.29992 -0.52306
|
|
217 218 219 220 221 222 223 224
|
|
-1.07313 -1.91281 -6.73225 -5.49540 -0.05027 -0.05371 -0.03926 0.38461
|
|
225 226 227 228 229 230 231 232
|
|
-0.38980 -2.27548 -0.00558 2.76090 -0.05227 -0.00971 -0.05959 0.49694
|
|
233 234 235 236 237 238 239 240
|
|
-0.68147 -1.61881 -1.22058 5.51590 -0.04327 -0.03771 -0.29876 0.22294
|
|
241 242 243 244 245 246 247 248
|
|
1.16920 1.23789 4.61112 4.27460 -0.02127 -0.06371 -0.14892 -0.31206
|
|
249 250 251 252 253 254 255 256
|
|
-0.55480 -3.05548 -0.56391 0.05927 -0.05227 -0.02971 -0.20409 -0.07373
|
|
257 258 259 260 261 262 263 264
|
|
-0.09480 -2.21048 3.70112 -1.46573 -0.05727 -0.05271 0.10074 -0.24873
|
|
265 266 267 268 269 270 271 272
|
|
0.53520 -1.32681 -1.21558 1.96760 0.01273 0.04129 0.47691 0.66294
|
|
273 274 275 276 277 278 279 280
|
|
0.18187 2.74119 0.08442 -2.35240 -0.03927 -0.00671 0.12474 -0.42373
|
|
281 282 283 284 285 286 287 288
|
|
-0.30313 -2.31381 8.71842 1.79090 -0.02776 -0.00104 0.23005 0.18344
|
|
289 290 291 292 293 294 295 296
|
|
-1.25117 1.37221 -1.73490 1.73667 -0.04196 -0.04654 -0.17329 0.36344
|
|
297 298 299 300 301 302 303 304
|
|
-1.60284 -3.04945 -5.84320 -2.72333 -0.04896 0.22830 0.38338 0.86511
|
|
305 306 307 308 309 310 311 312
|
|
1.72883 -0.74945 -3.08650 -0.01333 -0.04824 0.21180 0.14338 0.91844
|
|
313 314 315 316 317 318 319 320
|
|
-0.16284 -2.13279 -3.98153 0.90664 -0.03566 -0.00954 0.99005 0.05011
|
|
321 322 323 324 325 326 327 328
|
|
0.64383 0.97388 1.42180 1.21164 -0.02720 0.09846 0.37505 1.79844
|
|
329 330 331 332 333 334 335 336
|
|
0.18383 -0.13445 1.66513 2.67664 -0.03402 0.02963 0.73171 -0.76656
|
|
337 338 339 340 341 342 343 344
|
|
-1.11950 -1.32112 1.79180 2.17664 -0.06027 -0.01304 -0.18662 0.09011
|
|
345 346 347 348 349 350 351 352
|
|
0.37383 -2.49112 1.72680 2.03504 0.01178 0.30213 0.64005 1.65677
|
|
353 354 355 356 357 358 359 360
|
|
0.69050 3.48721 2.95850 1.00004 0.01680 0.20930 0.26838 0.98844
|
|
361 362 363 364 365 366 367 368
|
|
-0.31784 -0.74945 -0.83820 3.96334 -0.01280 0.36546 0.52671 3.60177
|
|
369 370 371 372 373 374 375 376
|
|
1.87550 0.80555 2.65350 0.92004 0.04150 0.49596 0.45005 1.47178
|
|
377 378 379 380 381 382 383 384
|
|
1.07217 -2.97612 1.36180 4.64501 0.00218 0.07096 0.65171 1.89844
|
|
385 386 387 388 389 390 391 392
|
|
0.38883 -0.00445 4.29680 1.05834 0.02574 0.38880 0.04338 1.35511
|
|
393 394 395 396 397 398 399 400
|
|
0.38883 -0.38279 3.70013 -0.94999 -0.02653 0.07113 0.43838 -0.01156
|
|
401 402 403 404 405 406 407 408
|
|
1.70883 0.63721 -2.18320 0.88834 0.00904 0.17880 0.54671 0.44511
|
|
409 410 411 412
|
|
2.22216 -2.03445 1.99350 0.05004
|
|
attr(,"std")
|
|
[1] NA NA NA NA NA 2.0514 3.0228 3.7679 4.1905 4.3895
|
|
[11] 0.0575 0.1274 0.2786 0.5909 1.1714 2.0514 3.0228 4.1905 4.3895 0.0575
|
|
[21] 0.1274 0.2786 0.5909 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575
|
|
[31] 0.1274 0.2786 0.5909 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575
|
|
[41] 0.1274 0.2786 0.5909 1.1714 2.0514 3.0228 4.1905 0.0575 0.1274 0.2786
|
|
[51] 0.5909 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786
|
|
[61] 0.5909 1.1714 2.0514 3.0228 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[71] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[81] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[91] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[101] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[111] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[121] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[131] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[141] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1274 0.2786 0.5909
|
|
[151] 1.1714 2.0514 3.0228 3.7679 4.1905 4.3895 0.0575 0.1137 0.2495 0.5324
|
|
[161] 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919
|
|
[171] 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749
|
|
[181] 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137
|
|
[191] 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324
|
|
[201] 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919
|
|
[211] 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749
|
|
[221] 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137
|
|
[231] 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324
|
|
[241] 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919
|
|
[251] 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749
|
|
[261] 0.0575 0.1137 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137
|
|
[271] 0.2495 0.5324 1.0689 2.8919 4.1469 4.4749 0.0575 0.1137 0.2495 0.5324
|
|
[281] 1.0689 2.8919 4.1469 4.4749 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348
|
|
[291] 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219
|
|
[301] 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596
|
|
[311] 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251
|
|
[321] 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348
|
|
[331] 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219
|
|
[341] 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596
|
|
[351] 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251
|
|
[361] 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348
|
|
[371] 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219
|
|
[381] 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596
|
|
[391] 0.3469 0.7251 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251
|
|
[401] 1.2806 2.3348 3.8468 4.4219 0.0644 0.1596 0.3469 0.7251 1.2806 2.3348
|
|
[411] 3.8468 4.4219
|
|
attr(,"label")
|
|
[1] "Residuals (g)"
|
|
> summary(fm3)
|
|
Generalized nonlinear least squares fit
|
|
Model: weight ~ SSlogis(Time, Asym, xmid, scal)
|
|
Data: Soybean
|
|
AIC BIC logLik
|
|
987 1007 -489
|
|
|
|
Variance function:
|
|
Structure: Power of variance covariate
|
|
Formula: ~fitted(.)
|
|
Parameter estimates:
|
|
power
|
|
0.878
|
|
|
|
Coefficients:
|
|
Value Std.Error t-value p-value
|
|
Asym 17.4 0.525 33.1 0
|
|
xmid 51.9 0.598 86.8 0
|
|
scal 7.6 0.142 54.0 0
|
|
|
|
Correlation:
|
|
Asym xmid
|
|
xmid 0.788
|
|
scal 0.488 0.842
|
|
|
|
Standardized residuals:
|
|
Min Q1 Med Q3 Max
|
|
-2.3066 -0.6545 -0.0019 0.5012 4.9676
|
|
|
|
Residual standard error: 0.369
|
|
Degrees of freedom: 407 total; 404 residual
|
|
>
|
|
> options(op)# revert when this file is source()d
|
|
>
|
|
> proc.time()
|
|
user system elapsed
|
|
0.461 0.085 0.549
|