HeatStruct: Structure Heatmap with Missing Value Demonstration

In cutoffR: CUTOFF: A Spatio-temporal Imputation Method

Description

Structure Heatmap with Missing Value Demonstration

Usage

HeatStruct(data, high.col = "steelblue", low.col = "white",
  missing.col = "gold", xlab = "", ylab = "")

Arguments

data	a data frame or matrix, possibly with missing values denoted by NA
high.col	color for high values, can be a number or a color name, default is "steelblue.
low.col	color for high values, can be a number or a color name, default is "white".
missing.col	color for missing values, can be a number or a color nam, default is "gold"
xlab	a title for the x axis.
ylab	a title for the y axis .

Details

Structure heatmap is like a normal heatmap, but is particulary useful when they are missing values in the data matrix. Default color were carefully chosen so normally it is a good choice for your data. However, you are still encouraged to play around with it.

Examples

data(hqmr.data)
# use a subset of the hqmr.data
# notice the gold chunks which represent missing values
subdata <- hqmr.data[1000:1200, 1:30]
HeatStruct(subdata)
# change colors for high.col, low.col and missing.col
HeatStruct(subdata, low.col = "blue", high.col = "red", missing.col = "black")

Example output

cutoffR documentation built on May 2, 2019, 6:12 a.m.