this function figures out the X and Y values for a given (sub)plot, including upper and lower 95% HPD intervals
preparePredictor.fnc(pred, model, m, ylabel, fun, val, xlabel, ranefs, ...)
A data frame with values to be plotted, with columns
values of predictor
fitted values
logical for whether predictor is factor
logical for whether predictor is interacting predictor
for factors, the factor level names (only present for factors)
character string denoting predictor to be plotted on horizontal axis
model fit by lmer
matrix as produced by makeDefaultMatrix.fnc
label for vertical axis (if other than name of dependent variable
character string denoting transformation function for dependent variable, currently only '"plogis"' or '"exp"'
value of interacting variable
label for horizontal axis
a three-element list Group, Level, Predictor
, specifying a random-effect Group (e.g. Subject
), a level (e.g., S10
) and a value (e.g., LogFrequency
) for which partial effects have to be calibrated; implemented only for mcmcMat=NA
.
further graphical parameters, currently not implemented
R. H. Baayen
See Also as plotLMER.fnc