I’ve decided to share a neat way of plotting data; something I’ve used a number of times for my own projects. There may already be R packages out there which have functions to produce matrix plots, but it never hurts to know how to use base R plotting functions to get the job done.

In a nutshell a matrix plot lets you display three variables on a x-y axis: the x and y axis form a “grid” and each “cell” of the grid is colored based on the magnitude of a third variable. In the past, I’ve used a matrix plot with a time series of correlation coefficients. The y-axis was dates, the x-axis was different independent variables, and the color of each “cell” was the magnitude of correlation. Maybe my next post will demonstrate how to plot dates on the the y or x-axis. Also, feel free to mess around with rgb() function to learn how it changes the color scheme!

### Create Matrix plot using colors to fill grid
# Create matrix. Using random values for this example.
rand <- rnorm(286, 0.8, 0.3)
mat <- matrix(rand, nrow = 26)
dim(mat) # Check dimensions
# Create x and y labels
yLabels <- seq(1, 26, 1)
xLabels <- c("a", "b", "c", "d", "e", "f", "g", "h", "i",
"j", "k");
# Set min and max values of rand
min <- min(rand, na.rm=T)
max <- max(rand, na.rm=T)
# Red and green range from 0 to 1 while Blue ranges from 1 to 0
ColorRamp <- rgb(seq(0.95,0.99,length=50), # Red
seq(0.95,0.05,length=50), # Green
seq(0.95,0.05,length=50)) # Blue
ColorLevels <- seq(min, max, length=length(ColorRamp))
# Set layout. We are going to include a colorbar next to plot.
layout(matrix(data=c(1,2), nrow=1, ncol=2), widths=c(4,1),
heights=c(1,1))
#plotting margins. These seem to work well for me.
par(mar = c(5,5,2.5,1), font = 2)
# Plot it up!
image(1:ncol(mat), 1:nrow(mat), t(mat),
col=ColorRamp, xlab="Variable", ylab="Time",
axes=FALSE, zlim=c(min,max),
main= NA)
# Now annotate the plot
box()
axis(side = 1, at=seq(1,length(xLabels),1), labels=xLabels,
cex.axis=1.0)
axis(side = 2, at=seq(1,length(yLabels),1), labels=yLabels, las= 1,
cex.axis=1)
# Add colorbar to second plot region
par(mar = c(3,2.5,2.5,2))
image(1, ColorLevels,
matrix(data=ColorLevels, ncol=length(ColorLevels),nrow=1),
col=ColorRamp,xlab="",ylab="",xaxt="n", las = 1)

Matrix Plot (color Bar represents third variable)

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