Running 'testthat.R' [23s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > test_check("JWileymisc")
  Loading required package: JWileymisc
           B (SE)           95% CI        
  Constant 20.09*** ( 1.07) [17.92, 22.26]
  R^2      0.00                           
  F        F(NA, NA) = NA   <NA>          
           B (SE)           95% CI        
  Constant 20.09*** ( 1.07) [17.92, 22.26]
  R^2      0.00                           
  F        F(NA, NA) = NA   <NA>          
           B (SE)                  95% CI        
  Constant 30.10*** ( 1.63)        [26.76, 33.44]
  hp       -0.07*** ( 0.01)        [-0.09, -0.05]
  R^2      0.60***                               
  F        F( 1.00, 30.00) = 45.46 p < .001      
               B (SE)                  95% CI          
  Constant      26.66*** (  0.97)      [ 24.68,  28.65]
  factor(cyl)6  -6.92*** (  1.56)      [-10.11,  -3.73]
  factor(cyl)8 -11.56*** (  1.30)      [-14.22,  -8.91]
  R^2          0.73***                                 
  F            F( 2.00, 29.00) = 39.70 p < .001        
               B (SE)                  95% CI          
  Constant      26.66*** (  0.97)      [ 24.68,  28.65]
  factor(cyl)6  -6.92*** (  1.56)      [-10.11,  -3.73]
  factor(cyl)8 -11.56*** (  1.30)      [-14.22,  -8.91]
  R^2          0.73***                                 
  F            F( 2.00, 29.00) = 39.70 p < .001        
                  N   M    SD   1.  2.    3.       4.      
  1. Sepal.Length 114 5.90 0.88  -  -0.13  0.86***  0.82***
  2. Sepal.Width  114 3.13 0.41      -    -0.49*** -0.44***
  3. Petal.Length 107 3.79 1.82            -        0.97***
  4. Petal.Width  115 1.24 0.80                     -      
  
  Percentage of coverage for each pairwise covariance or correlation
  
               Sepal.Length Sepal.Width Petal.Length Petal.Width
  Sepal.Length 0.76         0.57        0.54         0.57       
  Sepal.Width               0.76        0.54         0.59       
  Petal.Length                          0.71         0.53       
  Petal.Width                                        0.77       
  ""	"N"	"M"	"SD"	"1."	"2."	"3."	"4."
  "1. Sepal.Length"	"114"	"5.90"	"0.88"	" - "	"-0.13"	" 0.86***"	" 0.82***"
  "2. Sepal.Width"	"114"	"3.13"	"0.41"	""	" - "	"-0.49***"	"-0.44***"
  "3. Petal.Length"	"107"	"3.79"	"1.82"	""	""	" - "	" 0.97***"
  "4. Petal.Width"	"115"	"1.24"	"0.80"	""	""	""	" - "
                  N   M    SD   1.  2.    3.       4.      
  1. Sepal.Length 114 5.90 0.88  -  -0.13  0.86***  0.82***
  2. Sepal.Width  114 3.13 0.41      -    -0.49*** -0.44***
  3. Petal.Length 107 3.79 1.82            -        0.97***
  4. Petal.Width  115 1.24 0.80                     -      
  
  Percentage of coverage for each pairwise covariance or correlation
  
               Sepal.Length Sepal.Width Petal.Length Petal.Width
  Sepal.Length 0.76         0.57        0.54         0.57       
  Sepal.Width               0.76        0.54         0.59       
  Petal.Length                          0.71         0.53       
  Petal.Width                                        0.77       
  $`1`
  
  $`2`
  
  attr(,"class")
  [1] "list"      "ggarrange"
                  N  M    SD   1.  2.     
  1. Sepal.Length 50 5.01 0.35  -  0.74***
  2. Sepal.Width  50 3.43 0.38      -     
  
  Percentage of coverage for each pairwise covariance or correlation
  
               Sepal.Length Sepal.Width
  Sepal.Length 1            1          
  Sepal.Width               1          
                  N  M    SD   1.  2.  
  1. Sepal.Length 50 5.94 0.52  -  0.09
  2. Sepal.Width  50 2.77 0.31      -  
  
  Percentage of coverage for each pairwise covariance or correlation
  
               Sepal.Length Sepal.Width
  Sepal.Length 1            1          
  Sepal.Width               1          
                  N  M    SD   1.      2.     
  1. Sepal.Length 50 6.59 0.64  -      0.09***
  2. Sepal.Width  50 2.97 0.32 0.46***  -     
  
  Percentage of coverage for each pairwise covariance or correlation
  
               Sepal.Length Sepal.Width
  Sepal.Length 1            1          
  Sepal.Width               1          
  Loading required namespace: GPArotation
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In smc, smcs < 0 were set to .0
  In factor.scores, the correlation matrix is singular, the pseudo inverse is  used
  In smc, smcs < 0 were set to .0
  [ FAIL 1 | WARN 54 | SKIP 1 | PASS 416 ]
  
  ══ Skipped tests (1) ═══════════════════════════════════════════════════════════
  • On CRAN (1): 'test-distributions.R:75:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-winsorizor.R:68:3'): winsorizor errors, warnings and missings ──
  Error in `winsorizor(NULL)`: is.vector(d) || is.matrix(d) || is.data.frame(d) || is.data.table(d) is not TRUE
  Backtrace:
      ▆
   1. ├─testthat::expect_warning(winsorizor(NULL)) at test-winsorizor.R:68:2
   2. │ └─testthat:::expect_condition_matching(...)
   3. │   └─testthat:::quasi_capture(...)
   4. │     ├─testthat (local) .capture(...)
   5. │     │ └─base::withCallingHandlers(...)
   6. │     └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
   7. └─JWileymisc::winsorizor(NULL)
   8.   └─base::stopifnot(...)
  
  [ FAIL 1 | WARN 54 | SKIP 1 | PASS 416 ]
  Error: Test failures
  Execution halted