PMplot: Level Plot of a Matrix of p-values.
In predictmeans: Predicted Means for Linear and Semiparametric Models

PMplot

R Documentation

Level Plot of a Matrix of p-values.

Description

Creates a plot of p-values of pairwise comparisons.

Usage

PMplot(pmatrix, level=0.05, mtitle=NULL, xylabel=NULL, margin=5, legendx=0.73, 
  newwd=TRUE)

Arguments

`pmatrix`	A matrix with p-values from pairwise comparisons. (This is a lower triangle matrix.)
`level`	The level of p-value to be highlighted. Default is 0.05.
`mtitle`	The main title in the graph.
`xylabel`	The x and y labels in the graph.
`margin`	A value for specifying x and y margins in the graph. The default value is 5.
`legendx`	A value for specifying x coordinate of legend. The default value is 0.73.
`newwd`	A logical variable to indicate whether to print graph in a new window. The default is TRUE.

Author(s)

Dongwen Luo, Siva Ganesh and John Koolaard

Examples

  library(predictmeans)
  set.seed(2013)
  pvalues <- runif(28)
  pmatrix <- matrix(0,8,8)
  pmatrix[lower.tri(pmatrix)] <- pvalues
  round(pmatrix, 4)
  PMplot(pmatrix)

  Oats$nitro <- factor(Oats$nitro)
  fm <- lmer(yield ~ nitro*Variety+(1|Block/Variety), data=Oats)
  predictout <- predictmeans(fm, "nitro:Variety", atvar="Variety", adj="BH", barplot=TRUE)
  PMplot(predictout$p_valueMatrix)

predictmeans documentation built on May 29, 2024, 9:49 a.m.