d_from_p_t_in: Obtain Cohen's _d_ from p-value of an independent samples...

In wviechtb/escalc: Package for Computing Effect Sizes

Description

This function converts p-values from independent samples t-tests to Cohen's d values.

Usage

d_from_p_t_in(
  p,
  n1,
  n2,
  side,
  sign,
  assumeHomoscedacity = TRUE,
  biasCorrect = TRUE
)

Arguments

p	Numerical vector with the (one- or two-sided) p-values.
n1, n2	Numerical vectors with the sample sizes of the two groups.
side	Numerical vector to indicate the sidedness of the p-values. (1 for a one-sided and 2 for a two-sided p-value)
sign	Numerical vector to indicate the sign of the d-values (+1 or -1; only relevant for two-sided p-values; for one-sided p-values, this can be set to NA).
assumeHomoscedacity	Logical to indicate if the p-values come from independent samples t-tests that have assumed homoscedacity (equal variances in the two groups) or not. Can also be a vector.
biasCorrect	Logical to indicate if the d-values should be bias-corrected. Can also be a vector.

Value

A numeric vector of Cohen's d values.

Examples

d_from_p_t_in(p = .038, n1=22, n2=25, side=2, sign=-1)

wviechtb/escalc documentation built on Jan. 9, 2020, 4:14 p.m.