plotForest: Forest plot of coefficients

In remaCor: Random Effects Meta-Analysis for Correlated Test Statistics

Forest plot of coefficients

Description

Forest plot of coefficients

Usage

plotForest(beta, stders)

Arguments

beta	regression coefficients from each analysis
stders	standard errors corresponding to betas

Value

Forest plot of effect sizes and standard errors

Examples

# Generate effects
library(mvtnorm)
library(clusterGeneration )

n = 4
Sigma = cov2cor(genPositiveDefMat(n)$Sigma)
beta = t(rmvnorm(1, rep(0, n), Sigma))
stders = rep(.1, n)	

# set names
rownames(Sigma) = colnames(Sigma) = LETTERS[1:n]
rownames(beta) = names(stders) = LETTERS[1:n]

# Run random effects meta-analysis,
# account for correlation 
RE2C( beta, stders, Sigma)

# Make plot
plotForest( beta, stders )

remaCor documentation built on May 29, 2024, 6:41 a.m.