Practically Important Effect Sizes

pies(
  data = NULL,
  controlCol = NULL,
  expCol = NULL,
  d = NULL,
  cer = NULL,
  r = 1,
  n = NULL,
  threshold = NULL,
  mean = 0,
  sd = 1,
  bootstrapA = FALSE,
  conf.level = 0.95
)

Arguments

data: Optionally, if you want to get A, a data frame.
controlCol, expCol: Optionally, if you want to get A, the names of the columns with control and experimental data.
d: Cohen's d.
cer: The control even rate (see nnt()).
r, threshold, mean, sd: Arguments for the nnt() function.
n: The sample size.
bootstrapA: Whether to use bootstrapping to compute A.
conf.level: The confidence level of confidence intervals.

Value

A dataframe with all values.

Examples

pies(d = .5, n = 100, cer = .2, threshold = 2);
#> Warning: 'x' has been rounded to integer: Mean relative difference: 0.01263596
#> Warning: 'x' has been rounded to integer: Mean relative difference: 0.01263596
#>        NNT NNT_from_ARR    NNT_lo    NNT_hi   ARR     ARR_lo      ARR_hi
#> 1 6.012579    -5.882353 -3.778891 -13.26751 -0.17 -0.2646279 -0.07537209
#>       CLES       U3
#> 1 63.81632 69.14625