Create a forest plot — plotForest • EmpiricalCalibration

plotForest creates a forest plot of effect size estimates.

plotForest(
  logRr,
  seLogRr,
  names,
  xLabel = "Relative risk",
  title,
  fileName = NULL
)

Arguments

logRr: A numeric vector of effect estimates on the log scale
seLogRr: The standard error of the log of the effect estimates. Hint: often the standard error = (log(<lower bound 95 percent confidence interval>) - log(<effect estimate>))/qnorm(0.025)
names: A vector containing the names of the drugs or outcomes
xLabel: The label on the x-axis: the name of the effect estimate
title: Optional: the main title for the plot
fileName: Name of the file where the plot should be saved, for example 'plot.png'. See the function ggsave in the ggplot2 package for supported file formats.

Value

A Ggplot object. Use the ggsave function to save to file.

Details

Creates a forest plot of effect size estimates (ratios). Estimates that are significantly different from 1 (alpha = 0.05) are marked in orange, others are marked in blue.

Examples

data(sccs)
negatives <- sccs[sccs$groundTruth == 0, ]
plotForest(negatives$logRr, negatives$seLogRr, negatives$drugName)