Define a track of histograms — ccTrackHist • circlizePlus

Object ccTrack will call the function circlize::circos.trackHist while drawing.

Usage

ccTrackHist(...)

Arguments

...

Arguments passed on to circlize::circos.trackHist

sectors: A factor or a character vector which represents the categories of data
factors: The same as sectors. It will be removed in future versions.
x: Data on the x-axis
track.index: Index for the track which is going to be updated. Setting it to NULL means creating the plotting regions in the next newest track.
track.height: Height of the track. It is the percentage to the radius of the unit circle. If to update a track, this argument is disabled.
ylim: Ranges on y-direction. By default, ylim is calculated automatically.
force.ylim: Whether to force all cells in the track to share the same ylim.
col: Filled color for histogram
border: Border color for histogram
lty: Line style for histogram
lwd: Line width for histogram
bg.col: Background color for the plotting regions
bg.border: Color for the border of the plotting regions
bg.lty: Line style for the border of the plotting regions
bg.lwd: Line width for the border of the plotting regions
breaks: see hist
include.lowest: see hist
right: see hist
draw.density: whether draw density lines instead of histogram bars.
area: whether to fill the area below the density lines. If it is set to TRUE, col controls the filled color in the area and border controls color of the line.
bin.size: size of the bins of the histogram

Value

Object ccTrack

Examples

library(circlizePlus)
n = 1000
df = data.frame(sectors = sample(letters[1:8], n, replace = TRUE),
                x = rnorm(n), y = runif(n))
library(circlizePlus)
par1=ccPar("track.height" = 0.1)
cc=ccPlot(sectors = df$sectors, x = df$x) + par1;bgcol = rep(c("#EFEFEF", "#CCCCCC"), 4)
track2 = ccTrackHist(df$sectors, df$x, bin.size = 0.2, bg.col = bgcol, col = NA)
cc=cc+track2
cc

circos.clear()