plotForest creates a forest plot of effect size estimates.
plotForest( logRr, seLogRr, names, xLabel = "Relative risk", title, fileName = NULL )
A numeric vector of effect estimates on the log scale
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)
A vector containing the names of the drugs or outcomes
The label on the x-axis: the name of the effect estimate
Optional: the main title for the plot
Name of the file where the plot should be saved, for example 'plot.png'. See the
ggsave in the ggplot2 package for supported file formats.
A Ggplot object. Use the
ggsave function to save to file.
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.
data(sccs) negatives <- sccs[sccs$groundTruth == 0, ] plotForest(negatives$logRr, negatives$seLogRr, negatives$drugName)