lattice package allows to build
heatmaps thanks to the
Input data: here input is a data frame with 3 columns prividing the X and Y coordinate of the cell and its value. (Long format).
Previous example of this document was based on a data frame at the
long format. Here, a square matrix is used instead. It is the second
format understood by the
Note: here row and column order isn’t respected in the heatmap.
t() function of R allows to transpose the input
matrix, and thus to flip X and Y coordinates.
Moreover, you can reverse matrix order as shown below to reverse order in the heatmap as well. Now the heatmap is organized exactly as the input matrix.
There are several ways to custom the color palette:
RColorBrewer. See list of available palettes here.
Viridis: viridis, magma, inferno, plasma.
# Lattice package require(lattice) # The volcano dataset is provided, it looks like that: #head(volcano) # 1: native palette from R levelplot(volcano, col.regions = terrain.colors(100)) # try cm.colors() or terrain.colors() # 2: Rcolorbrewer palette library(RColorBrewer) coul <- colorRampPalette(brewer.pal(8, "PiYG"))(25) levelplot(volcano, col.regions = coul) # try cm.colors() or terrain.colors() # 3: Viridis library(viridisLite) coul <- viridis(100) levelplot(volcano, col.regions = coul) #levelplot(volcano, col.regions = magma(100))