reproducer (version 0.4.0)

PrepareForMetaAnalysisGtoR: PrepareForMetaAnalysisGtoR

Description

This function calculates the standardized effect sizes and their confidence intervals, the equivalence point biserial effect size and the Zr and var(Zr) needed for input into the metafor rma function (meta analysis). In this function the point bi-serial effect size is based on the adjusted Hedges g value. The function uses the Hedges g to r transformation to prepare for meta-analysing the data where the mean values, the standard deviations, and the number of observations are available.

Usage

PrepareForMetaAnalysisGtoR(Mc, Mt, SDc, SDt, Nc, Nt)

Arguments

Mc

is a vector containing the mean value of the control group for each experiment.

Mt

is a vector containing the mean value of the treatment group for each experiment.

SDc

is a vector of the standard deviations of the control group for each experiment.

SDt

is a vector of the standard deviations of the the treatment group for each experiment.

Nc

is a vector containing the the number of observations (participants) in the control group for each experiment.

Nt

is a vector of the number of observations (participants) in the treatment group for each experiment.

Value

data frame incl. calculated effect sizes (Hedges' g, Hedges' g adjusted), upper and lower confidence bounds on Hedges' g, zr, vi - variance of zr, r and pvalue

Examples

# NOT RUN {
PrepareForMetaAnalysisGtoR(c(10,10), c(12,14), c(4,4), c(4,4), c(20,20), c(40,40))
#HGvalues.Hg HGvalues.HgAdjusted  Hgupper     Hglower        zr         vi         r       pvalue
#        0.5           0.4935018 1.082017 -0.06156572 0.2305901 0.01754386 0.2265882 0.0816981743
#        1.0           0.9870036 1.634701  0.40620071 0.4499419 0.01754386 0.4218513 0.0006813222
# }