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

Description Usage Arguments Value Note Author(s) See Also Examples

Description

this function figures out the X and Y values for a given (sub)plot, including upper and lower 95% HPD intervals

Usage

1
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

1
  ## Not run: Not intended for independent use.

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