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Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(DImodelsMulti) > > test_check("DImodelsMulti") Note: Method Used = REML Correlation Structure Used = un@CS Average Term Model Theta estimate(s) = Y1:1.0208, Y2:0.865, Y3:0.9749 Generalized least squares fit by REML Model: value ~ 0 + func:time:((p1_ID + p2_ID + p3_ID + p4_ID + AV)) AIC BIC logLik 7927.124 8100.534 -3932.562 Multivariate Correlation Structure: General Formula: ~0 | plot Parameter estimate(s): Correlation: 1 2 2 0.611 3 -0.311 -0.364 Repeated Measure Correlation Structure: Compound symmetry Formula: ~0 | plot Parameter estimate(s): Rho 0.318417 Table: Fixed Effect Coefficients Beta Std. Error t-value p-value Signif ------------------- -------- ----------- -------- ----------- ------- funcY1:time1:p1_ID -1.398 0.401 -3.483 0.0005063 *** funcY2:time1:p1_ID +0.469 0.392 1.198 0.2311 funcY3:time1:p1_ID +0.956 0.399 2.394 0.01677 * funcY1:time2:p1_ID +0.063 0.401 0.156 0.876 funcY2:time2:p1_ID +2.674 0.392 6.822 1.19e-11 *** funcY3:time2:p1_ID -0.500 0.399 -1.253 0.2105 funcY1:time1:p2_ID +4.777 0.372 12.841 2.567e-36 *** funcY2:time1:p2_ID +4.398 0.363 12.129 1.03e-32 *** funcY3:time1:p2_ID +6.716 0.370 18.158 2.731e-68 *** funcY1:time2:p2_ID +4.890 0.372 13.145 6.59e-38 *** funcY2:time2:p2_ID +2.761 0.363 7.614 4.081e-14 *** funcY3:time2:p2_ID +6.862 0.370 18.552 5.504e-71 *** funcY1:time1:p3_ID +2.674 0.404 6.626 4.425e-11 *** funcY2:time1:p3_ID -0.635 0.393 -1.616 0.1062 funcY3:time1:p3_ID +3.333 0.401 8.304 1.844e-16 *** funcY1:time2:p3_ID +4.304 0.404 10.663 7.475e-26 *** funcY2:time2:p3_ID -3.298 0.393 -8.395 8.707e-17 *** funcY3:time2:p3_ID +3.067 0.401 7.642 3.312e-14 *** funcY1:time1:p4_ID -0.887 0.453 -1.959 0.05029 + funcY2:time1:p4_ID +0.424 0.445 0.953 0.3408 funcY3:time1:p4_ID +4.930 0.452 10.919 5.394e-27 *** funcY1:time2:p4_ID -2.571 0.453 -5.677 1.568e-08 *** funcY2:time2:p4_ID +2.048 0.445 4.605 4.384e-06 *** funcY3:time2:p4_ID +3.588 0.452 7.946 3.205e-15 *** funcY1:time1:AV +2.969 1.025 2.897 0.003805 ** funcY2:time1:AV +5.733 0.705 8.130 7.503e-16 *** funcY3:time1:AV +5.852 0.925 6.326 3.104e-10 *** funcY1:time2:AV +35.817 1.025 34.952 5.123e-209 *** funcY2:time2:AV +3.570 0.705 5.063 4.515e-07 *** funcY3:time2:AV +17.841 0.925 19.285 4.235e-76 *** Signif codes: 0-0.001 '***', 0.001-0.01 '**', 0.01-0.05 '*', 0.05-0.1 '+', 0.1-1.0 ' ' Degrees of freedom: 2016 total; 1986 residual Residual standard error: 1.949179 $Multivariate Marginal variance covariance matrix [,1] [,2] [,3] [1,] 4.9138 2.3576 -1.3793 [2,] 2.3576 3.0326 -1.2701 [3,] -1.3793 -1.2701 4.0112 Standard Deviations: 2.2167 1.7414 2.0028 $`Repeated Measure` Marginal variance covariance matrix [,1] [,2] [1,] 4.6292 1.4740 [2,] 1.4740 4.6292 Standard Deviations: 2.1516 2.1516 $Combined Marginal variance covariance matrix Y1:1 Y1:2 Y2:1 Y2:2 Y3:1 Y3:2 Y1:1 3.79930 1.20980 2.32040 0.73885 -1.18040 -0.37586 Y1:2 1.20980 3.79930 0.73885 2.32040 -0.37586 -1.18040 Y2:1 2.32040 0.73885 3.79930 1.20980 -1.38350 -0.44053 Y2:2 0.73885 2.32040 1.20980 3.79930 -0.44053 -1.38350 Y3:1 -1.18040 -0.37586 -1.38350 -0.44053 3.79930 1.20980 Y3:2 -0.37586 -1.18040 -0.44053 -1.38350 1.20980 3.79930 Standard Deviations: 1.9492 1.9492 1.9492 1.9492 1.9492 1.9492 Generalized least squares fit by REML Model: value ~ 0 + func:time:((p1_ID + p2_ID + p3_ID + p4_ID + AV)) Data: data AIC BIC logLik 7927.124 8100.534 -3932.562 Correlation Structure: General Formula: ~0 | plot Parameter estimate(s): Correlation: 1 2 3 4 5 2 0.318 3 0.611 0.194 4 0.194 0.611 0.318 5 -0.311 -0.099 -0.364 -0.116 6 -0.099 -0.311 -0.116 -0.364 0.318 Coefficients: Value Std.Error t-value p-value funcY1:time1:p1_ID -1.39779 0.4013020 -3.48313 0.0005 funcY2:time1:p1_ID 0.46946 0.3919317 1.19781 0.2311 funcY3:time1:p1_ID 0.95611 0.3994207 2.39375 0.0168 funcY1:time2:p1_ID 0.06264 0.4013020 0.15610 0.8760 funcY2:time2:p1_ID 2.67366 0.3919317 6.82175 0.0000 funcY3:time2:p1_ID -0.50033 0.3994207 -1.25264 0.2105 funcY1:time1:p2_ID 4.77678 0.3719836 12.84137 0.0000 funcY2:time1:p2_ID 4.39765 0.3625691 12.12913 0.0000 funcY3:time1:p2_ID 6.71595 0.3698618 18.15799 0.0000 funcY1:time2:p2_ID 4.88988 0.3719836 13.14541 0.0000 funcY2:time2:p2_ID 2.76061 0.3625691 7.61403 0.0000 funcY3:time2:p2_ID 6.86181 0.3698618 18.55237 0.0000 funcY1:time1:p3_ID 2.67448 0.4036265 6.62613 0.0000 funcY2:time1:p3_ID -0.63478 0.3928039 -1.61603 0.1062 funcY3:time1:p3_ID 3.33256 0.4013398 8.30359 0.0000 funcY1:time2:p3_ID 4.30388 0.4036265 10.66302 0.0000 funcY2:time2:p3_ID -3.29772 0.3928039 -8.39534 0.0000 funcY3:time2:p3_ID 3.06694 0.4013398 7.64176 0.0000 funcY1:time1:p4_ID -0.88693 0.4528202 -1.95867 0.0503 funcY2:time1:p4_ID 0.42381 0.4448121 0.95278 0.3408 funcY3:time1:p4_ID 4.93027 0.4515411 10.91876 0.0000 funcY1:time2:p4_ID -2.57087 0.4528202 -5.67746 0.0000 funcY2:time2:p4_ID 2.04841 0.4448121 4.60512 0.0000 funcY3:time2:p4_ID 3.58783 0.4515411 7.94575 0.0000 funcY1:time1:AV 2.96892 1.0247246 2.89728 0.0038 funcY2:time1:AV 5.73299 0.7052083 8.12950 0.0000 funcY3:time1:AV 5.85220 0.9251268 6.32583 0.0000 funcY1:time2:AV 35.81655 1.0247246 34.95236 0.0000 funcY2:time2:AV 3.57028 0.7052083 5.06273 0.0000 funcY3:time2:AV 17.84102 0.9251268 19.28494 0.0000 Theta values: Y1:1.0208, Y2:0.865, Y3:0.9749 Correlation: fY1:1:1 fY2:1:1 fY3:1:1 fY1:2:1 fY2:2:1 fY3:2:1 fY1:1:2 funcY2:time1:p1_ID 0.608 funcY3:time1:p1_ID -0.309 -0.362 funcY1:time2:p1_ID 0.318 0.194 -0.098 funcY2:time2:p1_ID 0.194 0.318 -0.115 0.608 funcY3:time2:p1_ID -0.098 -0.115 0.318 -0.309 -0.362 funcY1:time1:p2_ID 0.220 0.121 -0.066 0.070 0.039 -0.021 funcY2:time1:p2_ID 0.118 0.180 -0.069 0.038 0.057 -0.022 0.608 funcY3:time1:p2_ID -0.065 -0.070 0.212 -0.021 -0.022 0.067 -0.309 funcY1:time2:p2_ID 0.070 0.039 -0.021 0.220 0.121 -0.066 0.318 funcY2:time2:p2_ID 0.038 0.057 -0.022 0.118 0.180 -0.069 0.194 funcY3:time2:p2_ID -0.021 -0.022 0.067 -0.065 -0.070 0.212 -0.098 funcY1:time1:p3_ID 0.217 0.118 -0.065 0.069 0.038 -0.021 0.190 funcY2:time1:p3_ID 0.117 0.177 -0.068 0.037 0.056 -0.022 0.101 funcY3:time1:p3_ID -0.064 -0.069 0.209 -0.021 -0.022 0.067 -0.056 funcY1:time2:p3_ID 0.069 0.038 -0.021 0.217 0.118 -0.065 0.061 funcY2:time2:p3_ID 0.037 0.056 -0.022 0.117 0.177 -0.068 0.032 funcY3:time2:p3_ID -0.021 -0.022 0.067 -0.064 -0.069 0.209 -0.018 funcY1:time1:p4_ID 0.267 0.149 -0.080 0.085 0.048 -0.026 0.168 funcY2:time1:p4_ID 0.152 0.236 -0.089 0.048 0.075 -0.028 0.092 funcY3:time1:p4_ID -0.081 -0.088 0.261 -0.026 -0.028 0.083 -0.050 funcY1:time2:p4_ID 0.085 0.048 -0.026 0.267 0.149 -0.080 0.054 funcY2:time2:p4_ID 0.048 0.075 -0.028 0.152 0.236 -0.089 0.029 funcY3:time2:p4_ID -0.026 -0.028 0.083 -0.081 -0.088 0.261 -0.016 funcY1:time1:AV -0.592 -0.341 0.180 -0.189 -0.109 0.057 -0.555 funcY2:time1:AV -0.357 -0.565 0.211 -0.114 -0.180 0.067 -0.335 funcY3:time1:AV 0.181 0.203 -0.587 0.058 0.065 -0.187 0.170 funcY1:time2:AV -0.189 -0.109 0.057 -0.592 -0.341 0.180 -0.177 funcY2:time2:AV -0.114 -0.180 0.067 -0.357 -0.565 0.211 -0.107 funcY3:time2:AV 0.058 0.065 -0.187 0.181 0.203 -0.587 0.054 fY2:1:2 fY3:1:2 fY1:2:2 fY2:2:2 fY3:2:2 fY1:1:3 fY2:1:3 funcY2:time1:p1_ID funcY3:time1:p1_ID funcY1:time2:p1_ID funcY2:time2:p1_ID funcY3:time2:p1_ID funcY1:time1:p2_ID funcY2:time1:p2_ID funcY3:time1:p2_ID -0.363 funcY1:time2:p2_ID 0.194 -0.098 funcY2:time2:p2_ID 0.318 -0.115 0.608 funcY3:time2:p2_ID -0.115 0.318 -0.309 -0.363 funcY1:time1:p3_ID 0.099 -0.056 0.061 0.032 -0.018 funcY2:time1:p3_ID 0.147 -0.059 0.032 0.047 -0.019 0.608 funcY3:time1:p3_ID -0.058 0.181 -0.018 -0.018 0.058 -0.309 -0.362 funcY1:time2:p3_ID 0.032 -0.018 0.190 0.099 -0.056 0.318 0.194 funcY2:time2:p3_ID 0.047 -0.019 0.101 0.147 -0.059 0.194 0.318 funcY3:time2:p3_ID -0.018 0.058 -0.056 -0.058 0.181 -0.098 -0.115 funcY1:time1:p4_ID 0.086 -0.049 0.054 0.027 -0.016 0.253 0.139 funcY2:time1:p4_ID 0.130 -0.053 0.029 0.041 -0.017 0.143 0.219 funcY3:time1:p4_ID -0.050 0.161 -0.016 -0.016 0.051 -0.076 -0.082 funcY1:time2:p4_ID 0.027 -0.016 0.168 0.086 -0.049 0.081 0.044 funcY2:time2:p4_ID 0.041 -0.017 0.092 0.130 -0.053 0.046 0.070 funcY3:time2:p4_ID -0.016 0.051 -0.050 -0.050 0.161 -0.024 -0.026 funcY1:time1:AV -0.314 0.168 -0.177 -0.100 0.053 -0.606 -0.348 funcY2:time1:AV -0.521 0.197 -0.107 -0.166 0.063 -0.366 -0.576 funcY3:time1:AV 0.187 -0.548 0.054 0.060 -0.174 0.185 0.207 funcY1:time2:AV -0.100 0.053 -0.555 -0.314 0.168 -0.193 -0.111 funcY2:time2:AV -0.166 0.063 -0.335 -0.521 0.197 -0.116 -0.183 funcY3:time2:AV 0.060 -0.174 0.170 0.187 -0.548 0.059 0.066 fY3:1:3 fY1:2:3 fY2:2:3 fY3:2:3 fY1:1:4 fY2:1:4 fY3:1:4 funcY2:time1:p1_ID funcY3:time1:p1_ID funcY1:time2:p1_ID funcY2:time2:p1_ID funcY3:time2:p1_ID funcY1:time1:p2_ID funcY2:time1:p2_ID funcY3:time1:p2_ID funcY1:time2:p2_ID funcY2:time2:p2_ID funcY3:time2:p2_ID funcY1:time1:p3_ID funcY2:time1:p3_ID funcY3:time1:p3_ID funcY1:time2:p3_ID -0.098 funcY2:time2:p3_ID -0.115 0.608 funcY3:time2:p3_ID 0.318 -0.309 -0.362 funcY1:time1:p4_ID -0.076 0.081 0.044 -0.024 funcY2:time1:p4_ID -0.084 0.046 0.070 -0.027 0.608 funcY3:time1:p4_ID 0.247 -0.024 -0.026 0.079 -0.309 -0.362 funcY1:time2:p4_ID -0.024 0.253 0.139 -0.076 0.318 0.194 -0.098 funcY2:time2:p4_ID -0.027 0.143 0.219 -0.084 0.194 0.318 -0.115 funcY3:time2:p4_ID 0.079 -0.076 -0.082 0.247 -0.098 -0.115 0.318 funcY1:time1:AV 0.184 -0.193 -0.111 0.058 -0.597 -0.348 0.182 funcY2:time1:AV 0.216 -0.116 -0.183 0.069 -0.360 -0.577 0.213 funcY3:time1:AV -0.600 0.059 0.066 -0.191 0.183 0.207 -0.594 funcY1:time2:AV 0.058 -0.606 -0.348 0.184 -0.190 -0.111 0.058 funcY2:time2:AV 0.069 -0.366 -0.576 0.216 -0.115 -0.184 0.068 funcY3:time2:AV -0.191 0.185 0.207 -0.600 0.058 0.066 -0.189 fY1:2:4 fY2:2:4 fY3:2:4 fY1:1:A fY2:1:A fY3:1:A fY1:2:A funcY2:time1:p1_ID funcY3:time1:p1_ID funcY1:time2:p1_ID funcY2:time2:p1_ID funcY3:time2:p1_ID funcY1:time1:p2_ID funcY2:time1:p2_ID funcY3:time1:p2_ID funcY1:time2:p2_ID funcY2:time2:p2_ID funcY3:time2:p2_ID funcY1:time1:p3_ID funcY2:time1:p3_ID funcY3:time1:p3_ID funcY1:time2:p3_ID funcY2:time2:p3_ID funcY3:time2:p3_ID funcY1:time1:p4_ID funcY2:time1:p4_ID funcY3:time1:p4_ID funcY1:time2:p4_ID funcY2:time2:p4_ID 0.608 funcY3:time2:p4_ID -0.309 -0.362 funcY1:time1:AV -0.190 -0.111 0.058 funcY2:time1:AV -0.115 -0.184 0.068 0.603 funcY3:time1:AV 0.058 0.066 -0.189 -0.306 -0.360 funcY1:time2:AV -0.597 -0.348 0.182 0.318 0.192 -0.097 funcY2:time2:AV -0.360 -0.577 0.213 0.192 0.318 -0.114 0.603 funcY3:time2:AV 0.183 0.207 -0.594 -0.097 -0.114 0.318 -0.306 fY2:2:A funcY2:time1:p1_ID funcY3:time1:p1_ID funcY1:time2:p1_ID funcY2:time2:p1_ID funcY3:time2:p1_ID funcY1:time1:p2_ID funcY2:time1:p2_ID funcY3:time1:p2_ID funcY1:time2:p2_ID funcY2:time2:p2_ID funcY3:time2:p2_ID funcY1:time1:p3_ID funcY2:time1:p3_ID funcY3:time1:p3_ID funcY1:time2:p3_ID funcY2:time2:p3_ID funcY3:time2:p3_ID funcY1:time1:p4_ID funcY2:time1:p4_ID funcY3:time1:p4_ID funcY1:time2:p4_ID funcY2:time2:p4_ID funcY3:time2:p4_ID funcY1:time1:AV funcY2:time1:AV funcY3:time1:AV funcY1:time2:AV funcY2:time2:AV funcY3:time2:AV -0.360 Standardized residuals: Min Q1 Med Q3 Max -4.15977769 -0.38670617 -0.03622075 0.34007790 6.72648550 Residual standard error: 1.949179 Degrees of freedom: 2016 total; 1986 residual [ FAIL 0 | WARN 0 | SKIP 0 | PASS 38 ] > > proc.time() user system elapsed 281.04 29.39 313.25