Usage
verboseIplot(
x, y,
xlim = NA, ylim = NA,
nBinsX = 150, nBinsY = 150,
ztransf = function(x) {x}, gamma = 1,
sample = NULL, corFnc = "cor", corOptions = "use = 'p'",
main = "", xlab = NA, ylab = NA, cex = 1,
cex.axis = 1.5, cex.lab = 1.5, cex.main = 1.5,
abline = FALSE, abline.color = 1, abline.lty = 1,
corLabel = corFnc, ...)Arguments
x
numerical vector to be plotted along the x axis.
y
numerical vector to be plotted along the y axis.
xlim
define the range in x axis
ylim
define the range in y axis
nBinsX
number of bins along the x axis
nBinsY
number of bins along the y axis
ztransf
Function to transform the number of counts per pixel, which will be mapped by the function in colramp to well defined colors. The user has to make sure that the transformed density lies in the range [0,zmax], where zmax is any positive number (>=2).
gamma
color correction power
sample
either a number of points to be sampled or a vector of indices input x and y
for points to be plotted. Useful when the input vectors are large and plotting all points is not practical.
corFnc
character string giving the correlation function to annotate the plot.
corOptions
character string giving further options to the correlation function.
main
main title for the plot.
xlab
label for the x-axis.
ylab
label for the y-axis.
cex
character expansion factor for plot annotations.
cex.axis
character expansion factor for axis annotations.
cex.lab
character expansion factor for axis labels.
cex.main
character expansion factor for the main title.
abline
logical: should the linear regression fit line be plotted?
abline.color
color specification for the fit line.
abline.lty
line type for the fit line.
corLabel
character string to be used as the label for the correlation value printed in the main title.
...
other arguments to the function plot.