Plot true and observed values — plotTrueAndObserved • EmpiricalCalibration

Plot true and observed values, for example from a simulation study.

plotTrueAndObserved(
  logRr,
  seLogRr,
  trueLogRr,
  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).
trueLogRr: A vector of the true effect sizes.
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 the true value (alpha = 0.05) are marked in orange, others are marked in blue.

Examples

data <- simulateControls(n = 50 * 3, mean = 0.25, sd = 0.25, trueLogRr = log(c(1, 2, 4)))
plotTrueAndObserved(data$logRr, data$seLogRr, data$trueLogRr)