plotErrorModel creates a plot showing the systematic error model.
plotErrorModel( logRr, seLogRr, trueLogRr, title, legacy = FALSE, 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).
The true log relative risk.
Optional: the main title for the plot
If true, a legacy error model will be fitted, meaning standard deviation is linear on the log scale. If false, standard deviation is assumed to be simply linear.
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
A Ggplot object. Use the
ggsave function to save to file.
Creates a plot with the true effect size on the x-axis, and the mean plus and minus the standard deviation shown on the y-axis. Also shown are simple error models fitted at each true relative risk in the input.