pies: Practically Important Effect Sizes

In behaviorchange: Tools for Behavior Change Researchers and Professionals

Practically Important Effect Sizes

Description

Practically Important Effect Sizes

Usage

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);

behaviorchange documentation built on March 7, 2023, 7:24 p.m.