Effect plot

Plots the ASCA scores by effect levels for a given model effect and for one PC at a time. This graph is especially appealing to interpret interactions or combined effects. It is a wrapper of plotMeans.

Usage

lmpEffectPlot(
  resASCA,
  effectName,
  axes = 1,
  x,
  z = NULL,
  w = NULL,
  hline = 0,
  ...
)

Arguments

resASCA

A list corresponding to the ASCA output value of lmpPcaEffects.

effectName

Name of the effect to be used to plot the scores.

axes

A numerical vector with the Principal Components axes to be drawn.

x

A character string giving the design factor whose levels will form the x axis.

z

A character string giving the design factor whose levels will form the traces.

w

A character string giving the design factor whose levels will be used for the facet.

hline

If not NULL, draws one or several horizontal line(s) at values given in hline.

...

Additional arguments to be passed to plotMeans.

Value

An effect plot (ggplot).

Details

lmpEffectPlot is a wrapper of plotMeans.

Examples

data("UCH")
resLmpModelMatrix <- lmpModelMatrix(UCH)
resLmpEffectMatrices <- lmpEffectMatrices(resLmpModelMatrix)
resASCA <- lmpPcaEffects(
  resLmpEffectMatrices = resLmpEffectMatrices,
  method = "ASCA", combineEffects = list(c("Hippurate", "Time", "Hippurate:Time"))
)

# Effect plot for an interaction effect
lmpEffectPlot(resASCA, effectName = "Hippurate:Time", x = "Hippurate", z = "Time")

# Effect plot for a combined effect
lmpEffectPlot(resASCA, effectName = "Hippurate+Time+Hippurate:Time", x = "Hippurate", z = "Time")