R Under development (unstable) (2026-04-24 r89961 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(mosaic)
Registered S3 method overwritten by 'mosaic':
  method                           from   
  fortify.SpatialPolygonsDataFrame ggplot2

The 'mosaic' package masks several functions from core packages in order to add 
additional features.  The original behavior of these functions should not be affected by this.

Attaching package: 'mosaic'

The following objects are masked from 'package:dplyr':

    count, do, tally

The following object is masked from 'package:Matrix':

    mean

The following object is masked from 'package:ggplot2':

    stat

The following object is masked from 'package:testthat':

    compare

The following objects are masked from 'package:stats':

    IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
    quantile, sd, t.test, var

The following objects are masked from 'package:base':

    max, mean, min, prod, range, sample, sum

> 
> test_check("mosaic")
Mapping API still under development and may change in future releases.
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
Loading required namespace: RCurl
Reading data with read.csv()

Null distribution appears to be asymmetric. (p = 0) 

Test statistic applied to sample data =  18 

Quantiles of test statistic applied to random data: 
50% 90% 95% 99% 
 16  19  20  22  

Of the  1000  samples (1 original +  999  random), 
	 131 ( 13.1 % ) had test stats = 18 
	 297 ( 29.7 % ) had test stats >= 18 

Null distribution appears to be asymmetric. (p = 2.28e-06) 

Test statistic applied to sample data =  18 

Quantiles of test statistic applied to random data: 
     50%      90%      95%      99% 
10.00000 26.00000 31.33333 48.69333  

Of the  1000  samples (1 original +  999  random), 
	 33 ( 3.3 % ) had test stats = 18 
	 240 ( 24 % ) had test stats >= 18 

Null distribution appears to be asymmetric. (p = 0) 

Test statistic applied to sample data =  18 

Quantiles of test statistic applied to random data: 
50% 90% 95% 99% 
 16  19  20  22  

Of the  1000  samples (1 original +  999  random), 
	 131 ( 13.1 % ) had test stats = 18 
	 297 ( 29.7 % ) had test stats >= 18 
Loading required package: manipulate


If X ~ N(500, 100), then 

	P(X <= 650) = P(Z <= 1.5) = 0.9332
	P(X >  650) = P(Z >  1.5) = 0.06681


[1] 0.9331928


If X ~ N(500, 100), then 

	P(X <= 567.449) = 0.75
	P(X >  567.449) = 0.25


[1] 567.449
[ FAIL 0 | WARN 3 | SKIP 18 | PASS 249 ]

══ Skipped tests (18) ══════════════════════════════════════════════════════════
• On CRAN (18): 'test-ashplots.R:4:1', 'test-bargraph.R:2:1',
  'test-clustering.R:2:1', 'test-dotplot.R:3:1', 'test-fitspline.R:3:1',
  'test-frequencyPolygon.R:3:1', 'test-ladd.R:3:1', 'test-ladd.R:15:1',
  'test-ladd.R:30:1', 'test-maps2.R:29:1', 'test-mplot.R:3:1',
  'test-plotCumfreq.R:3:1', 'test-plotDist.R:3:1', 'test-plotModel.R:3:1',
  'test-plotPoints.R:3:1', 'test-rfun.R:3:1', 'test-statTally.R:39:1',
  'test-xpnorm.R:3:1'

[ FAIL 0 | WARN 3 | SKIP 18 | PASS 249 ]
> 
> proc.time()
   user  system elapsed 
  30.89    2.42   33.76