CRAN Package Check Results for Package afex

Last updated on 2017-06-26 22:46:15.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.18-0 5.53 395.56 401.09 OK
r-devel-linux-x86_64-debian-gcc 0.18-0 5.31 373.10 378.42 OK
r-devel-linux-x86_64-fedora-clang 0.18-0 799.89 OK
r-devel-linux-x86_64-fedora-gcc 0.18-0 780.12 OK
r-devel-windows-ix86+x86_64 0.18-0 26.00 878.00 904.00 OK
r-patched-linux-x86_64 0.18-0 5.78 381.65 387.44 OK
r-patched-solaris-sparc 0.18-0 6527.50 ERROR
r-patched-solaris-x86 0.18-0 1013.40 OK
r-release-linux-x86_64 0.18-0 5.66 382.99 388.64 OK
r-release-windows-ix86+x86_64 0.18-0 16.00 784.00 800.00 OK
r-release-osx-x86_64 0.18-0 OK
r-oldrel-windows-ix86+x86_64 0.18-0 25.00 861.00 886.00 OK
r-oldrel-osx-x86_64 0.18-0 OK

Check Details

Version: 0.18-0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [90m/92m]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(afex)
     Loading required package: lme4
     Loading required package: Matrix
     Loading required package: lsmeans
     Loading required package: estimability
     ************
     Welcome to afex. For support visit: http://afex.singmann.science/
     - Functions for ANOVAs: aov_car(), aov_ez(), and aov_4()
     - Methods for calculating p-values with mixed(): 'KR', 'S', 'LRT', and 'PB'
     - 'afex_aov' and 'mixed' objects can be passed to lsmeans() for follow-up tests
     - Get and set global package options with: afex_options()
     - Set orthogonal sum-to-zero contrasts globally: set_sum_contrasts()
     - For example analyses see: browseVignettes("afex")
     ************
    
     Attaching package: 'afex'
    
     The following object is masked from 'package:lme4':
    
     lmer
    
     >
     > test_check("afex")
     Fitting one lmer() model. [DONE]
     Calculating p-values. [DONE]
     Mixed Model Anova Table (Type 3 tests, KR-method)
    
     Model: value ~ treatment + (1 | id)
     Data: obk.long
     Effect df F p.value
     1 treatment 2, 13 2.91 + .09
     ---
     Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
     Fitting one lmer() model. [DONE]
     Calculating p-values. [DONE]
     Mixed Model Anova Table (Type 3 tests, KR-method)
    
     Model: value ~ treatment + phase + (1 | id)
     Data: obk.long
     Effect df F p.value
     1 treatment 2, 13 2.91 + .09
     2 phase 2, 222 38.48 *** <.0001
     ---
     Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
     Fitting 2 (g)lmer() models:
     [..]
     Mixed Model Anova Table (Type 3 tests, LRT-method)
    
     Model: value ~ treatment + (1 | id)
     Data: obk.long
     Df full model: 5
     Effect df Chisq p.value
     1 treatment 2 5.93 + .05
     ---
     Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
     Fitting 3 (g)lmer() models:
     [...]
     Mixed Model Anova Table (Type 3 tests, LRT-method)
    
     Model: value ~ treatment + phase + (1 | id)
     Data: obk.long
     Df full model: 7
     Effect df Chisq p.value
     1 treatment 2 5.93 + .05
     2 phase 2 66.67 *** <.0001
     ---
     Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
     Fitting 2 (g)lmer() models:
     [..]
     Obtaining 1 p-values:
     [.]
     Mixed Model Anova Table (Type 3 tests, PB-method)
    
     Model: use ~ urban + (1 | district)
     Data: Contraception
     Effect df Chisq p.value
     1 urban 1 31.28 .33
     ---
     Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
     Fitting 3 (g)lmer() models:
     [...]
     Obtaining 2 p-values:
     [..]
     Mixed Model Anova Table (Type 3 tests, PB-method)
    
     Model: use ~ urban + livch + (1 | district)
     Data: Contraception
     Effect df Chisq p.value
     1 urban 1 36.33 .33
     2 livch 3 77.91 .33
     ---
     Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
     Fitting 2 (g)lmer() models:
     [..]
     Obtaining 1 p-values:
     [.]
     Fitting 5 (g)lmer() models:
     [....
Flavor: r-patched-solaris-sparc