heatmapVis: Create a sortable heatmap.

In prpatil/healthvis: Interactive visualizations of health data

Description

heatmapVis creates an interactive, sortable heatmap. Visualizes a matrix of subjects by observations, and uses an accompanying matrix of subjects by additional covariates to sort.

Usage

heatmapVis(data, sort.by, colors = c("#D33F6A", "#E99A2C", "#E2E6BD"),
  plot.title = "Heatmap Visualization")

Arguments

data	Matrix to be displayed in heatmap from (rows are observations/subjects/etc.) Row and column names are used in the figure.
sort.by	Dataframe of outcomes to sort on (same number of rows as data)
colors	Vector of colors that the heatmap should range through (3 colors: low, medium, high)
plot.title	The title of the plot to be created

Note

Currently, matricies with >100 rows or columns are currently a bit slow, and larger matrices may hit a data passing limit.

Examples

# Create a matrix of random values for a set of subjects
nsubj = 40
nobs = 25
data1 <- matrix(rnorm(nsubj*nobs), nsubj, nobs)
rownames(data1) <- sapply(1:nsubj, function(x){paste("S", x, sep="")})
colnames(data1) <- sapply(1:nobs, function(x){paste("V", x, sep="")})

# Create a random set of discrete and continuous covariates to sort by
sort.by1 <- data.frame("Treatment"=rbinom(nsubj, 1, 0.4), "Age"=rpois(nsubj, 30))

heatmapVis(data=data1, sort.by=sort.by1)

prpatil/healthvis documentation built on May 26, 2019, 10:32 a.m.