R version 4.4.0 beta (2024-04-09 r86391 ucrt) -- "Puppy Cup" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library("testthat") > library("umx") Loading required package: OpenMx For an overview type '?umx' Attaching package: 'umx' The following object is masked from 'package:stats': loadings > > test_check("umx") Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:------|--:|:------|:----|:-------|--------:|:------|:------------------|:---------| |CP3fac | 51| | | | 184511.3|0 | |-2lnL | |dropC | 42|234.06 |9 |< 0.001 | 184727.4|216.06 |CP3fac |-2lnL | Table: Common Factor Paths | | A|C | E| |:---------------|----:|:--|----:| |Common.factor.1 | 0.67|. | 0.74| |Common.factor.2 | 0.79|. | 0.61| |Common.factor.3 | 0.33|. | 0.94| Table: Loadings of each trait on the Common Factors | | CP1| CP2| CP3| |:---|-----:|-----:|-----:| |gff | 0.34| 0.44| 0.10| |fc | -0.05| 0.98| 0.02| |qol | 0.72| 0.30| 0.13| |hap | 0.48| 0.24| 0.82| |sat | 0.58| 0.26| 0.48| |AD | -0.41| -0.30| -0.26| Table: Specific-factor loadings | |gff |fc |qol |hap |sat |AD | |:----------|:----|:----|:----|:----|:----|:----| |Specific a |0.45 |. |. |. |0.18 |0.38 | |Specific c |. |. |. |. |. |. | |Specific e |0.7 |0.18 |0.61 |0.22 |0.58 |0.73 | Table: Means (from model$top$expMean) | | gff_T1| fc_T1| qol_T1| hap_T1| sat_T1| AD_T1| gff_T2| fc_T2| qol_T2| hap_T2| sat_T2| AD_T2| |:---------|------:|------:|------:|------:|------:|-----:|------:|------:|------:|------:|------:|-----:| |intercept | 38.39| -13.37| 7.81| 22.97| 27.56| 4.09| 38.39| -13.37| 7.81| 22.97| 27.56| 4.09| Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:------|--:|:-------|:----|:-------|--------:|:-------|:------------------|:---------| |CP3fac | 51| | | | 184511.3|0 | |-2lnL | |dropC | 42|234.059 |9 |< 0.001 | 184727.4|216.059 |CP3fac |-2lnL | lbound estimate ubound lbound Code ubound Code G_to_x1 0.367 0.397 0.429 0 0 lbound estimate ubound lbound Code ubound Code G_to_x1 0.367 0.397 0.429 0 0 lbound estimate ubound lbound Code ubound Code G_to_x1 0.367 0.397 0.429 0 0 G_to_x2 0.469 0.503 0.541 0 0 G_to_x3 0.538 0.577 0.619 0 0 G_to_x4 0.657 0.702 0.751 0 0 G_to_x5 0.746 0.795 0.850 0 0 x1_with_x1 0.036 0.041 0.047 0 0 x2_with_x2 0.033 0.038 0.044 0 0 x3_with_x3 0.035 0.041 0.047 0 0 x4_with_x4 0.033 0.039 0.047 0 0 x5_with_x5 0.030 0.036 0.044 0 0 lbound estimate ubound lbound Code ubound Code G_to_x1 0.367 0.397 0.429 0 0 G_to_x2 0.469 0.503 0.541 0 0 G_to_x3 0.538 0.577 0.619 0 0 G_to_x4 0.657 0.702 0.751 0 0 G_to_x5 0.746 0.795 0.850 0 0 lbound estimate ubound lbound Code ubound Code G_to_x1 0.367 0.397 0.429 0 0 The hypothesis that 'drop_path_2_x2' was tested by dropping drop_path_2_x2 from 'One Factor'. This caused a significant loss of fit (χ²(1) = 946, p = < 0.001: AIC = -2696.599 change in AIC = 943.998). Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:--------------|--:|:-------|:----|:-------|---------:|:-------|:------------------|:---------| |One Factor | 10| | | | -3640.597|0 | |-2lnL | |drop_path_2_x2 | 9|945.998 |1 |< 0.001 | -2696.599|943.998 |One Factor |-2lnL | Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:--------------|--:|:-------|:----|:-------|---------:|:-------|:------------------|:---------| |One Factor | 10| | | | -3640.597|0 | |-2lnL | |drop_path_2_x2 | 9|945.998 |1 |< 0.001 | -2696.599|943.998 |One Factor |-2lnL |
Table of Model Comparisons
Model EP Δ Fit Δ df p AIC Δ AIC Compare with Model Fit units
One Factor 10 -3640.597 0 -2lnL
drop_path_2_x2 9 945.998 1 < 0.001 -2696.599 943.998 One Factor -2lnL
Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:--------------------|--:|:--------|:----|:-------|---------:|:--------|:------------------|:---------| |One Factor | 10| | | | -3640.597|0 | |-2lnL | |drop_path_2_x2 | 9|945.998 |1 |< 0.001 | -2696.599|943.998 |One Factor |-2lnL | |drop_path_2_x2_and_3 | 8|1939.339 |2 |< 0.001 | -1705.258|1935.339 |One Factor |-2lnL | Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:--------------------|--:|:--------|:----|:-------|---------:|:--------|:------------------|:---------| |One Factor | 10| | | | -3640.597|0 | |-2lnL | |drop_path_2_x2 | 9|945.998 |1 |< 0.001 | -2696.599|943.998 |One Factor |-2lnL | |drop_path_2_x2_and_3 | 8|1939.339 |2 |< 0.001 | -1705.258|1935.339 |One Factor |-2lnL | The 'One Factor' model is the best fitting model according to AIC.AIC weight-based {Wagenmakers, 2004, 192-196} conditional probabilities of being the best model for 'One Factor', 'drop_path_2_x2', and 'drop_path_2_x2_and_3' respectively are: '1', '0', and '0' Using MuMIn::Weights(AIC()). Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:--------------------|--:|:--------|:----|:-------|---------:|:--------|:------------------|:---------| |One Factor | 10| | | | -3640.597|0 | |-2lnL | |drop_path_2_x2 | 9|945.998 |1 |< 0.001 | -2696.599|943.998 |One Factor |-2lnL | |drop_path_2_x2_and_3 | 8|1939.339 |2 |< 0.001 | -1705.258|1935.339 |One Factor |-2lnL | |drop_path_2_x2 | 9| | | | -2696.599|943.998 | |-2lnL | |drop_path_2_x2 | 9|0 |0 | | -2696.599|943.998 |drop_path_2_x2 |-2lnL | |drop_path_2_x2_and_3 | 8|993.341 |1 |< 0.001 | -1705.258|1935.339 |drop_path_2_x2 |-2lnL | Table: Parameter loadings for model 'One Factor' | |name | Std.Estimate|Std.SE |CI |type | |:--|:----------|------------:|:------|:-----------------|:---------------| |11 |G_with_G | 1.00|0 |1 [1, 1] |Factor Variance | |1 |G_to_x1 | 0.89|0.01 |0.89 [0.87, 0.91] |Factor loading | |2 |G_to_x2 | 0.93|0.01 |0.93 [0.92, 0.95] |Factor loading | |3 |G_to_x3 | 0.94|0.01 |0.94 [0.93, 0.95] |Factor loading | |4 |G_to_x4 | 0.96|0 |0.96 [0.95, 0.97] |Factor loading | |5 |G_to_x5 | 0.97|0 |0.97 [0.97, 0.98] |Factor loading | |6 |x1_with_x1 | 0.21|0.02 |0.21 [0.17, 0.24] |Residual | |7 |x2_with_x2 | 0.13|0.01 |0.13 [0.11, 0.15] |Residual | |8 |x3_with_x3 | 0.11|0.01 |0.11 [0.09, 0.13] |Residual | |9 |x4_with_x4 | 0.07|0.01 |0.07 [0.06, 0.09] |Residual | |10 |x5_with_x5 | 0.05|0.01 |0.05 [0.04, 0.07] |Residual | Table: Parameter loadings for model 'One Factor' | |name | Std.Estimate|Std.SE |CI |type | |:--|:----------|------------:|:------|:-----------------|:---------------| |11 |G_with_G | 1.00|0 |1 [1, 1] |Factor Variance | |1 |G_to_x1 | 0.89|0.01 |0.89 [0.87, 0.91] |Factor loading | |2 |G_to_x2 | 0.93|0.01 |0.93 [0.92, 0.95] |Factor loading | |3 |G_to_x3 | 0.94|0.01 |0.94 [0.93, 0.95] |Factor loading | |4 |G_to_x4 | 0.96|0 |0.96 [0.95, 0.97] |Factor loading | |5 |G_to_x5 | 0.97|0 |0.97 [0.97, 0.98] |Factor loading | |6 |x1_with_x1 | 0.21|0.02 |0.21 [0.17, 0.24] |Residual | |7 |x2_with_x2 | 0.13|0.01 |0.13 [0.11, 0.15] |Residual | |8 |x3_with_x3 | 0.11|0.01 |0.11 [0.09, 0.13] |Residual | |9 |x4_with_x4 | 0.07|0.01 |0.07 [0.06, 0.09] |Residual | |10 |x5_with_x5 | 0.05|0.01 |0.05 [0.04, 0.07] |Residual | Table: Parameter loadings for model 'One Factor' | |name | Estimate|SE |type | |:--|:----------|--------:|:----|:---------------| |11 |G_with_G | 1.00|0 |Factor Variance | |1 |G_to_x1 | 0.40|0.02 |Factor loading | |2 |G_to_x2 | 0.50|0.02 |Factor loading | |3 |G_to_x3 | 0.58|0.02 |Factor loading | |4 |G_to_x4 | 0.70|0.02 |Factor loading | |5 |G_to_x5 | 0.80|0.03 |Factor loading | |6 |x1_with_x1 | 0.04|0 |Residual | |7 |x2_with_x2 | 0.04|0 |Residual | |8 |x3_with_x3 | 0.04|0 |Residual | |9 |x4_with_x4 | 0.04|0 |Residual | |10 |x5_with_x5 | 0.04|0 |Residual | Table: Parameter loadings for model 'One Factor' | |name | Std.Estimate| Std.SE|CI |type | |:--|:---------|------------:|------:|:-------------------|:----| |12 |one_to_x1 | -0.02| 0.1|-0.02 [-0.22, 0.18] |Mean | |13 |one_to_x2 | -0.10| 0.1|-0.1 [-0.3, 0.1] |Mean | |14 |one_to_x3 | -0.08| 0.1|-0.08 [-0.28, 0.11] |Mean | |15 |one_to_x4 | -0.07| 0.1|-0.07 [-0.27, 0.12] |Mean | |16 |one_to_x5 | -0.07| 0.1|-0.07 [-0.26, 0.13] |Mean | Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1|c1 | e1| |:---|----:|:--|----:| |bmi | 0.86|. | 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.648| 21.648| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1|c1 | e1| |:---|----:|:--|----:| |bmi | 0.86|. | 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.648| 21.648| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1|c1 | e1| |:---|----:|:--|----:| |bmi | 0.86|. | 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.648| 21.648| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1|c1 | e1| |:---|----:|:--|----:| |bmi | 0.86|. | 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.648| 21.648| |name |Estimate |Std.Error | |:-------|:--------|:---------| |a_r1c1 |0.82 |0.1 | |c_r1c1 |-0.07 |0.23 | |e_r1c1 |0.31 |0.03 | |am_r1c1 |0 |0 | |cm_r1c1 |-0.01 |0.01 | |em_r1c1 |0.01 |0 | |mean |20.57 |0.15 | |lin11 |0.05 |0.01 | |quad11 |0 |0 | |name |Estimate |Std.Error | |:-------|:--------|:---------| |a_r1c1 |0.82 |0.1 | |c_r1c1 |-0.07 |0.23 | |e_r1c1 |0.31 |0.03 | |am_r1c1 |0 |0 | |cm_r1c1 |-0.01 |0.01 | |em_r1c1 |0.01 |0 | |mean |20.57 |0.15 | |lin11 |0.05 |0.01 | |quad11 |0 |0 | |name |Estimate |Std.Error | |:-------|:--------|:---------| |a_r1c1 |0.82 |0.1 | |c_r1c1 |-0.07 |0.23 | |e_r1c1 |0.31 |0.03 | |am_r1c1 |0 |0 | |cm_r1c1 |-0.01 |0.01 | |em_r1c1 |0.01 |0 | |mean |20.57 |0.15 | |lin11 |0.05 |0.01 | |quad11 |0 |0 | |name |Estimate |Std.Error | |:-------|:--------|:---------| |a_r1c1 |0.82 |0.1 | |c_r1c1 |-0.07 |0.23 | |e_r1c1 |0.31 |0.03 | |am_r1c1 |0 |0 | |cm_r1c1 |-0.01 |0.01 | |em_r1c1 |0.01 |0 | |mean |20.57 |0.15 | |lin11 |0.05 |0.01 | |quad11 |0 |0 | |name |Estimate |Std.Error | |:-------|:--------|:---------| |a_r1c1 |0.82 |0.1 | |c_r1c1 |-0.07 |0.23 | |e_r1c1 |0.31 |0.03 | |am_r1c1 |0 |0 | |cm_r1c1 |-0.01 |0.01 | |em_r1c1 |0.01 |0 | |mean |20.57 |0.15 | |lin11 |0.05 |0.01 | |quad11 |0 |0 | Table: General Independent Pathway path loadings | | ai1| ci1| ei1| |:---|-----:|-----:|-----:| |hap | 0.47| 0.24| 0.77| |sat | 0.51| 0.20| 0.56| |AD | -0.54| -0.06| -0.27| Table: Specific factor loadings | |hap |sat |AD | |:----------|:----|:----|:----| |Specific a |0.14 |0.3 |0.45 | |Specific c |. |. |. | |Specific e |0.32 |0.54 |0.65 | Table: Means (from model$top$expMean) | | hap_T1| sat_T1| AD_T1| hap_T2| sat_T2| AD_T2| |:---------|------:|------:|-----:|------:|------:|-----:| |intercept | 22.98| 27.56| 4.14| 22.98| 27.56| 4.14| Error in generateNormalData(model, nrows, subname, empirical, returnModel, : Definition variable(s) found, but the number of rows in the data do not match the number of rows requested for data generation. Table: Parameter loadings for model 'tim' | |name | Std.Estimate|Std.SE |CI |type | |:--|:------------------|------------:|:------|:--------------------|:-------------| |5 |litres_with_wt | 0.89|0.04 |0.89 [0.81, 0.96] |Manifest Cov | |1 |wt_to_mpg | -0.54|0.17 |-0.54 [-0.89, -0.2] |Manifest path | |2 |litres_to_mpg | -0.36|0.18 |-0.36 [-0.71, -0.02] |Manifest path | |7 |one_to_mpg | 5.89|0.68 |5.89 [4.56, 7.22] |Mean | |8 |one_to_wt | 3.34|0.45 |3.34 [2.45, 4.23] |Mean | |9 |one_to_litres | 1.89|0.3 |1.89 [1.31, 2.47] |Mean | |3 |mpg_with_mpg | 0.22|0.07 |0.22 [0.08, 0.35] |Residual | |4 |wt_with_wt | 1.00|0 |1 [1, 1] |Residual | |6 |litres_with_litres | 1.00|0 |1 [1, 1] |Residual | Table: Raw parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1| c1| e1| |:--|----:|---:|----:| |ht | 0.61| 0.1| 0.24| Table: Means (from model$top$expMean) | | ht1| ht2| |:---------|------:|------:| |intercept | 16.252| 16.252| Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:-----|--:|:------|:----|:--|--------:|:------|:------------------|:---------| |ADE | 4| | | | 5987.341|0 | |-2lnL | |ACE | 4|-0.139 |0 | | 5987.202|-0.139 |ADE |-2lnL | Table: Table of Model Comparisons |Model | EP|Δ Fit |Δ df |p | AIC|Δ AIC |Compare with Model |Fit units | |:-----|--:|:-----|:----|:--|-------:|:-----|:------------------|:---------| |ACE | 4| | | | 5987.20|0 | |-2lnL | |ADE | 4|0.14 |0 | | 5987.34|0.14 |ACE |-2lnL | Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; D: dominance effects; E: unique environment. | | a1|d1 | e1| |:--|----:|:--|----:| |ht | 0.93|. | 0.36| Table: Means (from model$top$expMean) | | ht1| ht2| |:---------|------:|------:| |intercept | 16.252| 16.252| (Intercept) B = 60.201 [59.505, 60.898], t = 169.359, p < 0.001 age B = 0.106 [0.088, 0.125], t = 11.183, p < 0.001 R² = 0.017 (adj = 0.016)(Intercept) B = 1.711 [1.705, 1.717], t = 590.26, p < 0.001 age B = -0.001 [-0.001, -0.001], t = -12.358, p < 0.001 R² = 0.02 (adj = 0.02) Table: Standardized parameter estimates from a 2-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1|a2 | c1|c2 | e1|e2 | |:--|----:|:----|-----:|:--|----:|:---| |ht | 0.76| | 0.43| | 0.49| | |wt | 0.60|0.68 | -0.10|. | 0.02|0.4 | Table: Means (from model$top$expMean) | | ht1| wt1| ht2| wt2| |:---------|-----:|------:|-----:|------:| |intercept | -0.39| -0.532| -0.39| -0.532| 'data.frame': 80 obs. of 18 variables: $ fam : int 1 2 3 4 5 6 7 8 9 10 ... $ age : int 21 24 21 21 19 26 23 29 24 28 ... $ zyg : int 1 1 1 1 1 1 1 1 1 1 ... $ part : int 2 2 2 2 2 2 2 2 2 2 ... $ wt1 : num -0.502 -0.844 -0.758 0.181 -1.185 ... $ wt2 : num -0.588 -0.929 -1.185 1.035 -1.356 ... $ ht1 : num 1.7 1.63 1.65 1.57 1.61 ... $ ht2 : num 1.7 1.63 1.68 1.65 1.63 ... $ htwt1 : num 20.1 20.3 20.2 26.8 19.3 ... $ htwt2 : num 19.7 19.9 17.7 27.9 18.1 ... $ bmi1 : num 21 21.1 21 23 20.7 ... $ bmi2 : num 20.9 21 20.1 23.3 20.3 ... $ cohort : chr "younger" "younger" "younger" "younger" ... $ zygosity: Factor w/ 5 levels "MZFF","MZMM",..: 1 1 1 1 1 1 1 1 1 1 ... $ age1 : int 21 24 21 21 19 26 23 29 24 28 ... $ age2 : int 21 24 21 21 19 26 23 29 24 28 ... $ obese1 : Ord.factor w/ 3 levels "normal"<"overweight"<..: 2 2 2 3 1 3 2 1 1 3 ... $ obese2 : Ord.factor w/ 3 levels "normal"<"overweight"<..: 1 1 1 3 1 3 2 1 1 2 ... Table: Standardized parameter estimates from a 2-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1|a2 | c1|c2 | e1|e2 | |:-----|----:|:----|----:|:--|----:|:----| |wt | 0.87| | 0.06| | 0.48| | |obese | 0.63|0.52 | 0.25|. | 0.40|0.33 | Table: Means (from model$top$expMean) | | wt1|obese1 | wt2|obese2 | |:---------|------:|:------|------:|:------| |intercept | -0.414|0 | -0.414|0 | Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | | a1|c1 | e1| |:--|----:|:--|----:| |wt | 0.87|. | 0.49| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.58| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.698| 21.698| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.89| 0.45| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.305| 21.305| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.89| 0.45| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.313| 21.313| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.89| 0.46| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 21.32| 21.32| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.89| 0.46| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.329| 21.329| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.89| 0.47| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 21.34| 21.34| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.88| 0.47| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.351| 21.351| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.88| 0.48| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.364| 21.364| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.88| 0.48| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.378| 21.378| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.87| 0.49| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.394| 21.394| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.87| 0.49| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.411| 21.411| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|---:| |bmi |. | 0.87| 0.5| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.429| 21.429| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.86| 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.449| 21.449| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.86| 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 21.47| 21.47| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.85| 0.52| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.492| 21.492| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.85| 0.53| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.514| 21.514| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.85| 0.53| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.536| 21.536| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.84| 0.54| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.558| 21.558| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.84| 0.55| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 21.58| 21.58| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.83| 0.56| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.601| 21.601| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.83| 0.56| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.621| 21.621| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.82| 0.57| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.641| 21.641| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.82| 0.57| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 21.66| 21.66| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.58| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.679| 21.679| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.58| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.698| 21.698| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.718| 21.718| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.739| 21.739| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|---:|----:| |bmi |. | 0.8| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.763| 21.763| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|---:|---:| |bmi |. | 0.8| 0.6| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.788| 21.788| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|---:|---:| |bmi |. | 0.8| 0.6| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.816| 21.816| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|---:|---:| |bmi |. | 0.8| 0.6| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.847| 21.847| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|---:|---:| |bmi |. | 0.8| 0.6| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 21.88| 21.88| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|---:|----:| |bmi |. | 0.8| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.914| 21.914| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.949| 21.949| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.985| 21.985| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.019| 22.019| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.051| 22.051| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.58| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.081| 22.081| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.82| 0.58| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.108| 22.108| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.82| 0.57| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.131| 22.131| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.82| 0.57| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.152| 22.152| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.83| 0.56| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 22.17| 22.17| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.83| 0.56| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.185| 22.185| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.84| 0.55| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.197| 22.197| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.84| 0.54| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.208| 22.208| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.84| 0.54| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.216| 22.216| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.85| 0.53| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.223| 22.223| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.85| 0.52| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.229| 22.229| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.86| 0.52| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.233| 22.233| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.86| 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.238| 22.238| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.86| 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.242| 22.242| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|---:| |bmi |. | 0.86| 0.5| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.246| 22.246| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|---:| |bmi |. | 0.87| 0.5| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.251| 22.251| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|---:| |bmi |. | 0.87| 0.5| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.256| 22.256| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.87| 0.49| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.261| 22.261| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.87| 0.49| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.266| 22.266| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.87| 0.49| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|-----:|-----:| |intercept | 22.27| 22.27| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|---:| |bmi |. | 0.87| 0.5| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.272| 22.272| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|---:| |bmi |. | 0.87| 0.5| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.272| 22.272| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.86| 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.268| 22.268| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.86| 0.51| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.259| 22.259| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.85| 0.52| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.244| 22.244| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.85| 0.53| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.223| 22.223| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.84| 0.55| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.194| 22.194| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.82| 0.57| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.158| 22.158| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.81| 0.59| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.115| 22.115| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.78| 0.62| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.066| 22.066| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.76| 0.66| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 22.015| 22.015| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.72| 0.69| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.961| 21.961| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.68| 0.73| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.909| 21.909| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.63| 0.77| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.859| 21.859| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.58| 0.81| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.814| 21.814| Table: Standardized parameter estimates from a 1-factor Cholesky ACE model. A: additive genetic; C: common environment; E: unique environment. | |a1 | c1| e1| |:---|:--|----:|----:| |bmi |. | 0.53| 0.85| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.776| 21.776| polite note: in future, please use report = 'markdown', not file='markdown'. file is for choosing a custom html file when writing to the browser with report= 'html' Table: Standardized parameter estimates from a 1-factor Direct variance ACE model. A: additive genetic; C: common environment; E: unique environment. | | A1| C1| E1| |:---|-----:|------:|-----:| |bmi | 0.807| -0.063| 0.256| Table: Means (from model$top$expMean) | | bmi1| bmi2| |:---------|------:|------:| |intercept | 21.649| 21.649| Table: Parameter loadings for model 'check_model_ex' | |name | Estimate|SE |type | |:--|:----------|--------:|:----|:---------------| |11 |G_with_G | 1.00|0 |Factor Variance | |1 |G_to_x1 | 0.89|0.02 |Factor loading | |2 |G_to_x2 | 0.93|0.02 |Factor loading | |3 |G_to_x3 | 0.94|0.02 |Factor loading | |4 |G_to_x4 | 0.96|0.02 |Factor loading | |5 |G_to_x5 | 0.97|0.03 |Factor loading | |6 |x1_with_x1 | 0.21|0 |Residual | |7 |x2_with_x2 | 0.13|0 |Residual | |8 |x3_with_x3 | 0.11|0 |Residual | |9 |x4_with_x4 | 0.07|0 |Residual | |10 |x5_with_x5 | 0.05|0 |Residual | [1] "cyl" [1] "cylinder" (Intercept) B = 34.661 [29.452, 39.87], t = 13.609, p < 0.001 cyl B = -1.587 [-3.043, -0.131], t = -2.23, p = 0.034 disp B = -0.021 [-0.042, 0], t = -2.007, p = 0.054 R² = 0.76 (adj = 0.743)(Intercept) B = 53.445 [31.077, 75.814], t = 4.894, p < 0.001 cyl B = -8.367 [-16.359, -0.376], t = -2.145, p = 0.041 I(cyl^2) B = 0.597 [-0.096, 1.291], t = 1.766, p = 0.088 disp B = -0.027 [-0.049, -0.006], t = -2.574, p = 0.016 R² = 0.784 (adj = 0.76)(Intercept) B = 34.661 [31.149, 38.173], t = 19.737, p < 0.001 cyl B = -1.587 [-2.569, -0.606], t = -3.234, p = 0.002 disp B = -0.021 [-0.035, -0.006], t = -2.91, p = 0.005 R² = 0.76 (adj = 0.752)(Intercept) B = 34.661 [29.452, 39.87], t = 13.609, p < 0.001 cyl B = -1.587 [-3.043, -0.131], t = -2.23, p = 0.034 disp B = -0.021 [-0.042, 0], t = -2.007, p = 0.054 R² = 0.76 (adj = 0.743)(Intercept) B = -32.432 [-98.452, 33.589], t = -1.005, p = 0.323 cyl B = 24.515 [6.063, 42.966], t = 2.717, p = 0.011 disp B = 0.119 [-0.147, 0.385], t = 0.915, p = 0.368 R² = 0.702 (adj = 0.681)[ FAIL 0 | WARN 6 | SKIP 27 | PASS 342 ] ══ Skipped tests (27) ══════════════════════════════════════════════════════════ • empty test (27): 'test_poly.r:6:1', 'test_umxBuild_run_modify.r:94:1', 'test_umxBuild_run_modify.r:131:1', 'test_umxBuild_run_modify.r:150:1', 'test_umxBuild_run_modify.r:195:1', 'test_umxCP.r:4:1', 'test_umxFactorScores.r:9:1', 'test_umxFitAndReporting.r:191:1', 'test_umxFitAndReporting.r:205:1', 'test_umxMatrixFree.R:6:1', 'test_umxPath.r:7:1', 'test_umx_ACE_etc.r:6:1', 'test_umx_ACE_etc.r:26:1', 'test_umx_ACE_etc.r:69:2', 'test_umx_ACE_etc.r:118:2', 'test_umx_ACE_etc.r:135:2', 'test_umx_ACE_etc.r:163:2', 'test_umx_ACE_etc.r:185:2', 'test_umx_ACE_etc.r:222:1', 'test_umx_ACE_etc.r:236:1', 'test_umx_ACE_etc.r:248:1', 'test_umx_CLPM.r:6:1', 'test_umx_DOC_etc.r:6:1', 'test_umx_misc.r:54:1', 'test_umx_misc.r:96:1', 'test_umx_misc.r:111:1', 'test_umx_misc.r:161:1' [ FAIL 0 | WARN 6 | SKIP 27 | PASS 342 ] > > proc.time() user system elapsed 217.28 1.75 219.01