Create multiple residual plots simultaneously.

Convenience function to plot residuals against all predictors of the model / against certain predictors of the model / against a predictor and all levels of a grouping variable.

Usage

plotResidualsAll(simulationOutput, predictorNames,
  predictorType = c("predictor", "groupLevel"), form = NULL,
  quantreg = NULL, rank = TRUE, asFactor = NULL, smoothScatter = NULL,
  quantiles = c(0.25, 0.5, 0.75), absoluteDeviation = FALSE, ...)

Arguments

simulationOutput

an object with simulated residuals created by simulateResiduals.

predictorNames

names of the predictors / group levels to be plotted.

predictorType

whether multiple plots should be created based on different predictor variables (predictor) or a single predictor and each corresponding group level (groupLevel).

form

optional predictor (and grouping variable) against which the residuals should be plotted.

quantreg

whether to perform a quantile regression or a smooth spline around the mean.

rank

if T, the values provided in form will be rank transformed.

asFactor

should a numeric predictor provided in form be treated as a factor.

smoothScatter

if T, a smooth scatter plot will plotted instead of a normal scatter plot.

quantiles

for a quantile regression, which quantiles should be plotted.

absoluteDeviation

if T, switch from displaying normal quantile residuals to absolute deviation from the mean expectation of 0.5 (calculated as 2 * abs(res - 0.5)).

...

additional arguments to plot / boxplot.

Details

For further details on the parameters see plotResiduals.