Running ‘testthat.R’ [366s/444s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > 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|      |     |        | 184511.4|0     |                   |-2lnL     |
  |dropC  | 42|233.3 |9    |< 0.001 | 184726.7|215.3 |CP3fac             |-2lnL     |
  
  
  Table: Common Factor Paths
  
  |                |    A|C  |    E|
  |:---------------|----:|:--|----:|
  |Common.factor.1 | 0.79|.  | 0.62|
  |Common.factor.2 | 0.65|.  | 0.76|
  |Common.factor.3 | 0.29|.  | 0.96|
  
  
  Table: Loadings of each trait on the Common Factors
  
  |    |   CP1|   CP2|   CP3|
  |:---|-----:|-----:|-----:|
  |gff |  0.44|  0.34|  0.08|
  |fc  |  0.98| -0.05|  0.02|
  |qol |  0.31|  0.71|  0.10|
  |hap |  0.24|  0.52|  0.82|
  |sat |  0.27|  0.61|  0.43|
  |AD  | -0.31| -0.43| -0.23|
  
  
  Table: Specific-factor loadings
  
  |           |gff  |fc   |qol  |hap |sat  |AD   |
  |:----------|:----|:----|:----|:---|:----|:----|
  |Specific a |0.45 |.    |0.14 |.   |0.17 |0.38 |
  |Specific c |.    |.    |.    |.   |.    |.    |
  |Specific e |0.7  |0.16 |0.61 |.   |0.59 |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|        |     |        | 184511.4|0       |                   |-2lnL     |
  |dropC  | 42|233.302 |9    |< 0.001 | 184726.7|215.302 |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 class=" lightable-paper lightable-striped" style='font-family: "Arial Narrow", arial, helvetica, sans-serif; width: auto !important; margin-left: auto; margin-right: auto;'>
  <caption>Table of Model Comparisons</caption>
   <thead>
    <tr>
     <th style="text-align:left;"> Model </th>
     <th style="text-align:right;"> EP </th>
     <th style="text-align:left;"> Δ Fit </th>
     <th style="text-align:left;"> Δ df </th>
     <th style="text-align:left;"> p </th>
     <th style="text-align:right;"> AIC </th>
     <th style="text-align:left;"> Δ AIC </th>
     <th style="text-align:left;"> Compare with Model </th>
     <th style="text-align:left;"> Fit units </th>
    </tr>
   </thead>
  <tbody>
    <tr>
     <td style="text-align:left;"> One Factor </td>
     <td style="text-align:right;"> 10 </td>
     <td style="text-align:left;">  </td>
     <td style="text-align:left;">  </td>
     <td style="text-align:left;">  </td>
     <td style="text-align:right;"> -3640.597 </td>
     <td style="text-align:left;"> 0 </td>
     <td style="text-align:left;">  </td>
     <td style="text-align:left;"> -2lnL </td>
    </tr>
    <tr>
     <td style="text-align:left;"> drop_path_2_x2 </td>
     <td style="text-align:right;"> 9 </td>
     <td style="text-align:left;"> 945.998 </td>
     <td style="text-align:left;"> 1 </td>
     <td style="text-align:left;"> &lt; 0.001 </td>
     <td style="text-align:right;"> -2696.599 </td>
     <td style="text-align:left;"> 943.998 </td>
     <td style="text-align:left;"> One Factor </td>
     <td style="text-align:left;"> -2lnL </td>
    </tr>
  </tbody>
  </table>
  
  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    |0.24      |
  |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    |0.24      |
  |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    |0.24      |
  |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    |0.24      |
  |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    |0.24      |
  |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|
  
  
  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 1 | WARN 8 | SKIP 27 | PASS 339 ]
  
  ══ 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'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test_umxPower.r:36:2'): umxPower works ──────────────────────────────
  Error in `grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, 
      resolveHJust(x$just, x$hjust), resolveVJust(x$just, x$vjust), 
      x$rot, as.numeric(NA))`: conversion failure on 'Power = 1 - β' in 'mbcsToSbcs': for β
  Backtrace:
       ▆
    1. ├─umx::umxPower(m1, "X_with_Y", explore = TRUE) at test_umxPower.r:36:9
    2. │ ├─base::print(p)
    3. │ ├─base::print(p)
    4. │ └─ggplot2:::print.ggplot(p)
    5. │   ├─grid::grid.draw(gtable)
    6. │   └─grid:::grid.draw.gTree(gtable)
    7. │     └─grDevices::recordGraphics(drawGTree(x), list(x = x), getNamespace("grid"))
    8. ├─grid:::drawGTree(x)
    9. │ ├─grid:::preDraw(x)
   10. │ └─grid:::preDraw.gTree(x)
   11. │   └─grid:::pushvpgp(x)
   12. │     ├─grid:::pushgrobvp(x$vp)
   13. │     └─grid:::pushgrobvp.viewport(x$vp)
   14. │       └─grid::pushViewport(vp, recording = FALSE)
   15. │         └─base::lapply(vps, push.vp, recording)
   16. │           ├─grid (local) FUN(X[[i]], ...)
   17. │           └─grid:::push.vp.viewport(X[[i]], ...)
   18. │             └─grid:::grid.Call.graphics(C_setviewport, vp, TRUE)
   19. ├─grid (local) `<fn>`(`<titleGrb>`)
   20. ├─grid:::preDraw.gTree(`<titleGrb>`)
   21. │ └─grid:::pushvpgp(x)
   22. │   ├─grid:::pushgrobvp(x$vp)
   23. │   └─grid:::pushgrobvp.viewport(x$vp)
   24. │     └─grid::pushViewport(vp, recording = FALSE)
   25. │       └─base::lapply(vps, push.vp, recording)
   26. │         ├─grid (local) FUN(X[[i]], ...)
   27. │         └─grid:::push.vp.vpTree(X[[i]], ...)
   28. │           ├─grid:::push.vp(vp$parent, recording)
   29. │           └─grid:::push.vp.viewport(vp$parent, recording)
   30. │             └─grid:::grid.Call.graphics(C_setviewport, vp, TRUE)
   31. └─grid (local) `<fn>`(`<text>`)
   32.   ├─grid::widthDetails(x)
   33.   └─grid:::widthDetails.text(x)
   34.     └─grid:::grid.Call(...)
  
  [ FAIL 1 | WARN 8 | SKIP 27 | PASS 339 ]
  Error: Test failures
  Execution halted