preparePredictor.fnc: determine X and Y values for a given (sub)plot
Description
this function figures out the X and Y values for a given (sub)plot,
including upper and lower 95% HPD intervals
Usage
preparePredictor.fnc(pred, model, m, ylabel, fun, val, xlabel, ranefs, ...)
Arguments
pred
character string denoting predictor to be plotted on horizontal axis
model
model fit by lmer
m
matrix as produced by makeDefaultMatrix.fnc
ylabel
label for vertical axis (if other than name of dependent variable
fun
character string denoting transformation function for dependent variable, currently only '"plogis"' or '"exp"'
val
value of interacting variable
xlabel
label for horizontal axis
ranefs
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
Value
A data frame with values to be plotted, with columns
X
values of predictor
Y
fitted values
Type
logical for whether predictor is factor
Interaction
logical for whether predictor is interacting predictor
Levels
for factors, the factor level names (only present for factors)