The circlize
package allows to build
circular charts with R. Several
chart types are offered: bar, scatter, line, abline and more. This
post shows how to build them.
Circular scatterplot has already been extensively described in chart #224 and #225.
Here is a reminder:
# Upload library
library(circlize)
circos.par("track.height" = 0.4)
# Create data
data = data.frame(
factor = sample(letters[1:8], 1000, replace = TRUE),
x = rnorm(1000),
y = runif(1000)
)
# Step1: Initialise the chart giving factor and x-axis.
circos.initialize( factors=data$factor, x=data$x )
# Step 2: Build the regions.
circos.trackPlotRegion(factors = data$factor, y = data$y, panel.fun = function(x, y) {
circos.axis()
})
# Step 3: Add points
circos.trackPoints(data$factor, data$x, data$y, col="#69b3a2")
It is possible to switch to line chart using the
circos.trackLines()
function. Visit the
line chart section of the gallery to
learn how to customize that kind of chart.
# Upload library
library(circlize)
circos.par("track.height" = 0.4)
# Create data
data = data.frame(
factor = sample(letters[1:8], 1000, replace = TRUE),
x = rnorm(1000),
y = runif(1000)
)
# Step1: Initialise the chart giving factor and x-axis.
circos.initialize( factors=data$factor, x=data$x )
# Step 2: Build the regions.
circos.trackPlotRegion(factors = data$factor, y = data$y, panel.fun = function(x, y) {
circos.axis()
})
# Step 3: Add points
circos.trackLines(data$factor, data$x[order(data$x)], data$y[order(data$x)], col = rgb(0.1,0.5,0.8,0.3), lwd=2)
The circos.trackLines()
function can also be used to
display vertical ablines.
# Upload library
library(circlize)
circos.par("track.height" = 0.4)
# Create data
data = data.frame(
factor = sample(letters[1:8], 1000, replace = TRUE),
x = rnorm(1000),
y = runif(1000)
)
# Step1: Initialise the chart giving factor and x-axis.
circos.initialize( factors=data$factor, x=data$x )
# Step 2: Build the regions.
circos.trackPlotRegion(factors = data$factor, y = data$y, panel.fun = function(x, y) {
circos.axis()
})
# Step 3: Add points
circos.trackLines(data$factor, data$x[order(data$x)], data$y[order(data$x)], col = rgb(0.1,0.5,0.8,0.3), lwd=2, type="h")
Note that each plot type must be coherent with what you specified in
the circos.trackPlotRegion
function.
You have to specify an Y axis for a scatterplot as seen before. But
not for a histogram that is built with
circos.trackHist()
.
# Upload library
library(circlize)
circos.par("track.height" = 0.4)
# Create data
data = data.frame(
factor = sample(letters[1:8], 1000, replace = TRUE),
x = rnorm(1000),
y = runif(1000)
)
# Step1: Initialise the chart giving factor and x-axis.
circos.initialize( factors=data$factor, x=data$x )
circos.trackHist(data$factor, data$x, bg.col = "white", col = "#69b3a2")