heat.scale: Plots a heat map color scale, for legend

In LPS: Linear Predictor Score, for Binary Inference from Multiple Continuous Variables

Description

This function plots a color scale using a custom color palette, to legend heat.map derivated functions.

Usage

  heat.scale(zlim, col.heatmap, at = -10:10, labels = NULL, horiz = TRUE,
    robust = FALSE, customMar = FALSE, title=NA)

Arguments

zlim	Numeric vector of length 2, minimum and maximum of values in the palette. Should correspond to zlim in heat.map, consider to use heat.map invisible return to get special values.
col.heatmap	Character vector of colors used in the heat map. Should correspond to col.heatmap in heat.map, consider to use heat.map invisible return to get special values.
at	Numeric vector, values shown in the axis.
labels	Character vector as long as at, defining the values to show at at.
horiz	Single logical value, whether to plot an horizontal or a vertical scale.
robust	Single logical value, whether to legend median and mad or mean and sd. Should correspond to heat.map norm.robust value.
customMar	Single logical value, whether to skip the call to par to set mar or not.
title	Single character value, the axis title to use (NA for automatic generation).

Author(s)

Sylvain Mareschal

See Also

heat.map, clusterize, predict.LPS

LPS documentation built on May 29, 2021, 5:07 p.m.