Closed barracuda156 closed 1 month ago
R version 4.4.0 (2024-04-24) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: powerpc-apple-darwin10.0.0d2 (32-bit)
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.
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(lavaanExtra)
Suggested APA citation: Thériault, R. (2023). lavaanExtra: Convenience functions for lavaan.
Journal of Open Source Software, 8(90), 5701. https://doi.org/10.21105/joss.05701
>
> test_check("lavaanExtra")
This is lavaan 0.6-18
lavaan is FREE software! Please report any bugs.
lavaan 0.6-18 ended normally after 35 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 21
Number of observations 301
Model Test User Model:
Standard Scaled
Test Statistic 85.306 87.132
Degrees of freedom 24 24
P-value (Chi-square) 0.000 0.000
Scaling correction factor 0.979
Yuan-Bentler correction (Mplus variant)
Model Test Baseline Model:
Test statistic 918.852 880.082
Degrees of freedom 36 36
P-value 0.000 0.000
Scaling correction factor 1.044
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.931 0.925
Tucker-Lewis Index (TLI) 0.896 0.888
Robust Comparative Fit Index (CFI) 0.930
Robust Tucker-Lewis Index (TLI) 0.895
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -3737.745 -3737.745
Scaling correction factor 1.133
for the MLR correction
Loglikelihood unrestricted model (H1) -3695.092 -3695.092
Scaling correction factor 1.051
for the MLR correction
Akaike (AIC) 7517.490 7517.490
Bayesian (BIC) 7595.339 7595.339
Sample-size adjusted Bayesian (SABIC) 7528.739 7528.739
Root Mean Square Error of Approximation:
RMSEA 0.092 0.093
90 Percent confidence interval - lower 0.071 0.073
90 Percent confidence interval - upper 0.114 0.115
P-value H_0: RMSEA <= 0.050 0.001 0.001
P-value H_0: RMSEA >= 0.080 0.840 0.862
Robust RMSEA 0.092
90 Percent confidence interval - lower 0.072
90 Percent confidence interval - upper 0.114
P-value H_0: Robust RMSEA <= 0.050 0.001
P-value H_0: Robust RMSEA >= 0.080 0.849
Standardized Root Mean Square Residual:
SRMR 0.065 0.065
Parameter Estimates:
Standard errors Sandwich
Information bread Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
visual =~
x1 1.000 0.900 0.772
x2 0.554 0.132 4.191 0.000 0.498 0.424
x3 0.729 0.141 5.170 0.000 0.656 0.581
textual =~
x4 1.000 0.990 0.852
x5 1.113 0.066 16.946 0.000 1.102 0.855
x6 0.926 0.061 15.089 0.000 0.917 0.838
speed =~
x7 1.000 0.619 0.570
x8 1.180 0.130 9.046 0.000 0.731 0.723
x9 1.082 0.266 4.060 0.000 0.670 0.665
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
visual ~~
textual 0.408 0.099 4.110 0.000 0.459 0.459
speed 0.262 0.060 4.366 0.000 0.471 0.471
textual ~~
speed 0.173 0.056 3.081 0.002 0.283 0.283
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.x1 0.549 0.156 3.509 0.000 0.549 0.404
.x2 1.134 0.112 10.135 0.000 1.134 0.821
.x3 0.844 0.100 8.419 0.000 0.844 0.662
.x4 0.371 0.050 7.382 0.000 0.371 0.275
.x5 0.446 0.057 7.870 0.000 0.446 0.269
.x6 0.356 0.047 7.658 0.000 0.356 0.298
.x7 0.799 0.097 8.222 0.000 0.799 0.676
.x8 0.488 0.120 4.080 0.000 0.488 0.477
.x9 0.566 0.119 4.768 0.000 0.566 0.558
visual 0.809 0.180 4.486 0.000 1.000 1.000
textual 0.979 0.121 8.075 0.000 1.000 1.000
speed 0.384 0.107 3.596 0.000 1.000 1.000
R-Square:
Estimate
x1 0.596
x2 0.179
x3 0.338
x4 0.725
x5 0.731
x6 0.702
x7 0.324
x8 0.523
x9 0.442
[ FAIL 6 | WARN 0 | SKIP 23 | PASS 32 ]
══ Skipped tests (23) ══════════════════════════════════════════════════════════
• On CRAN (23): 'test-cfa_fit_plot.R:38:3', 'test-lavaan_defined.R:33:3',
'test-lavaan_defined.R:41:3', 'test-lavaan_defined.R:63:3',
'test-lavaan_defined.R:74:3', 'test-nice_modindices.R:35:3',
'test-nice_modindices.R:42:3', 'test-nice_modindices.R:58:3',
'test-write_lavaan.R:35:3', 'test-write_lavaan.R:39:3',
'test-write_lavaan.R:43:3', 'test-write_lavaan.R:47:3',
'test-write_lavaan.R:51:3', 'test-write_lavaan.R:55:3',
'test-write_lavaan.R:63:3', 'test-write_lavaan.R:73:3',
'test-write_lavaan.R:83:3', 'test-write_lavaan.R:87:3',
'test-write_lavaan.R:91:3', 'test-write_lavaan.R:95:3',
'test-write_lavaan.R:99:3', 'test-write_lavaan.R:103:3',
'test-write_lavaan.R:107:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-cfa_fit_plot.R:30:3'): cfa_fit_plot comparison to cfa ──────────
Error: Package `DiagrammeRsvg` required for this function..
Please install it by running `install.packages("DiagrammeRsvg")`.
Backtrace:
▆
1. └─lavaanExtra::cfa_fit_plot(model, data) at test-cfa_fit_plot.R:30:3
2. └─lavaanExtra::nice_lavaanPlot(fit, covs = covs)
3. └─insight::check_if_installed(...)
── Error ('test-cfa_fit_plot.R:52:3'): cfa_fit_plot remove items ───────────────
Error: Package `DiagrammeRsvg` required for this function..
Please install it by running `install.packages("DiagrammeRsvg")`.
Backtrace:
▆
1. └─lavaanExtra::cfa_fit_plot(model, data, print = FALSE, remove.items = c("x1")) at test-cfa_fit_plot.R:52:3
2. └─lavaanExtra::nice_lavaanPlot(fit, covs = covs)
3. └─insight::check_if_installed(...)
── Error ('test-nice_lavaanPlot.R:48:3'): nice_lavaanPlot on CFA ───────────────
Error: Package `DiagrammeRsvg` required for this function..
Please install it by running `install.packages("DiagrammeRsvg")`.
Backtrace:
▆
1. ├─testthat::expect_s3_class(...) at test-nice_lavaanPlot.R:48:3
2. │ └─testthat::quasi_label(enquo(object), arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─lavaanExtra::nice_lavaanPlot(fit.cfa)
5. └─insight::check_if_installed(...)
── Error ('test-nice_lavaanPlot.R:56:3'): nice_lavaanPlot on SEM ───────────────
Error: Package `DiagrammeRsvg` required for this function..
Please install it by running `install.packages("DiagrammeRsvg")`.
Backtrace:
▆
1. ├─testthat::expect_s3_class(...) at test-nice_lavaanPlot.R:56:3
2. │ └─testthat::quasi_label(enquo(object), arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─lavaanExtra::nice_lavaanPlot(fit.sem)
5. └─insight::check_if_installed(...)
── Error ('test-nice_lavaanPlot.R:64:3'): nice_lavaanPlot on lavaan ────────────
Error: Package `DiagrammeRsvg` required for this function..
Please install it by running `install.packages("DiagrammeRsvg")`.
Backtrace:
▆
1. ├─testthat::expect_s3_class(...) at test-nice_lavaanPlot.R:64:3
2. │ └─testthat::quasi_label(enquo(object), arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─lavaanExtra::nice_lavaanPlot(fit.lavaan)
5. └─insight::check_if_installed(...)
── Error ('test-nice_lavaanPlot.R:72:3'): nice_lavaanPlot different sem model ──
Error: Package `DiagrammeRsvg` required for this function..
Please install it by running `install.packages("DiagrammeRsvg")`.
Backtrace:
▆
1. ├─testthat::expect_s3_class(...) at test-nice_lavaanPlot.R:72:3
2. │ └─testthat::quasi_label(enquo(object), arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. └─lavaanExtra::nice_lavaanPlot(fit.sem2)
5. └─insight::check_if_installed(...)
[ FAIL 6 | WARN 0 | SKIP 23 | PASS 32 ]
Error: Test failures
Execution halted
Thank you for reporting! In the new version, the relevant tests and examples have been made conditional on the installation of DiagrammeRsvg
. DiagrammeRsvg
only seems necessary so that the pkgdown workflow doesn't fail. May I ask in which context you rely on lavaanExtra
?
@rempsyc Thank you!
I maintain R
packages in MacPorts, and lavaanExtra
is among those: https://ports.macports.org/port/R-lavaanExtra
Currently tests will fail if
DiagrammeRsvg
not installed:However, unfortunately,
DiagrammeRsvg
depends onV8
, which is unjustifiedly heavy dependency to build and also broken on some platforms.