preparePredictor.fnc: determine X and Y values for a given (sub)plot

In languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics

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)

Note

not intended for independent use

Author(s)

R. H. Baayen

See Also

See Also as plotLMER.fnc

Examples

  ## Not run: Not intended for independent use.

languageR documentation built on May 2, 2019, 10:02 a.m.