heatmap2: Create a heatmap from a given loess fit.

In dalejbarr/simgen: Monte Carlo Simulations of Simultaneous Generalization

Description

Creates a graph of estimated p-values from a loess fit to stored simulation data. The loess fit should be created using loessPred.

Usage

heatmap2(lofit, labelX, labelY, title, mxseq = seq(0.01, 2.99, length.out
  = 300), myseq = seq(0.01, 2.99, length.out = 300), powermap = FALSE)

Arguments

lofit	fitted loess object
labelX	label for the x-axis variable. This can be a character string or an expression. If one of "t00", "t11", "w00", "w11", will be properly formatted using plotmath.
labelY	same as labelX, but for the y axis.
title	title for the plot
mxseq	sequence for the x variable, determining points at which predictions are calculated
myseq	same as mxseq, but for the y variable
powermap	if plotting power (TRUE) or type I error (FALSE); allows for different grayscale sensitivities.

See Also

loessPred

Examples

pmx <- createParamMx(100)

result <- apply(pmx, 1, function(x) {fitanova(mkDf(24,24,mcr.params=x,FALSE),FALSE)})
lpred <- loessPred(pval=result["pmax",],
                paramX=pmx[,"t11"], paramY=pmx[,"w11"])

heatmap2(lpred, "t11", "w11", "F1+F2")

dalejbarr/simgen documentation built on May 14, 2019, 3:32 p.m.