plotForest {remaCor}

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 )