convert_mean: Converting means and standard deviations

In nshi-stat/pimeta: Prediction Intervals for Random-Effects Meta-Analysis

Description

Converting estimated means and standard deviations in experimental and contorol groups to the effect size estimates and the within studies standard errors vector

Usage

convert_mean(n1, m1, s1, n2, m2, s2, pooled = FALSE)

Arguments

n1	A vector of number of observations in experimental group
m1	A vector of estimated mean in experimental group
s1	A vector of standard deviation in experimental group
n2	A vector of number of observations in experimental group
m2	A vector of estimated mean in experimental group
s2	A vector of standard deviation in experimental group
pooled	logical; if TRUE, a pooled variance is used. The default is FALSE.

Value

A data.frame of study data.

• y: A numeric vector of the effect size estimates.

• se: A numeric vector of the within studies standard error estimates.

Examples

require("flexmeta")
data("clbp")
dat <- convert_mean(clbp$n1, clbp$m1, clbp$s1, clbp$n2, clbp$m2, clbp$s2)
print(dat)

nshi-stat/pimeta documentation built on May 5, 2020, 8:01 p.m.