Usage
verboseScatterplot(x, y,
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,
displayAsZero = 1e-5,
col = 1, bg = 0,
lmFnc = lm,
...)Arguments
x
numerical vector to be plotted along the x axis.
y
numerical vector to be plotted along the y axis.
sample
determines whether x and y should be sampled for plotting, useful
to keep the plot manageable when x and y are large vectors.
The default NULL value implies no sampling. A single numeric
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.
displayAsZero
Correlations whose absolute value is smaller than this number will be displayed as
zero. This can result in a more intuitive display (for example, cor=0 instead of cor=2.6e-17).
col
color of the plotted symbols. Recycled as necessary.
bg
fill color of the plotted symbols (used for certain symbols). Recycled as necessary.
lmFnc
linear model fit function. Used to calculate the linear model fit line if 'abline' is
TRUE. For example, robust linear models are implemented in the
function ...
other arguments to the function plot.