hist2D: 2D density plot

In iaaka/visutils: QC, analyse and visualize visium

2D density plot

Description

Replacement of scatterplot to be used when number of points is to high and/or they highly overlap

Usage

hist2D(
  x,
  y,
  xbins = 100,
  ybins = 100,
  cols = c("white", "gray", "blue", "orange", "red"),
  zfun = identity,
  leg.title = "",
  num.leg.tic = NULL,
  legend = TRUE,
  trimZq = 0,
  xlim = NULL,
  ylim = NULL,
  zlim = NULL,
  new = TRUE,
  xlab = deparse(substitute(x)),
  ylab = deparse(substitute(y)),
  ...
)

Arguments

x, y	point coordinates
xbins, ybins	number of bins or bin borders. Everything outside of bins are removed
cols	colours to form gradient
zfun	transformation of frequency (try log1p, sqrt, etc). Identity by default
leg.title	legend title
num.leg.tic	desired number of tics in the legend
legend	logical, should legend be plotted
trimZq	frequencies outside of quantile(trimZq,1-trimZq) are set to the corresponding (closest) quantiles. Default is 0 (not trimming). See trimQ.
xlim, ylim, zlim, xlab, ylab	graphical parameters
new	create new plot (default) or add to existing
...	other arguments for plot function

Value

list bith bins and frequencies (invisible)

iaaka/visutils documentation built on June 13, 2025, 6:06 p.m.