languageR (version 1.2)

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, mcmc, 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

mcmc

MCMC matrix as produced by mcmcsamp or pvals.fnc()$mcmc

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; implem

...

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)

See Also

See Also as plotLMER.fnc

Examples

Not intended for independent use.