Description Usage Arguments Details Author(s) See Also Examples
Plot the empirical cumulative density along with the estimated degree of regulation of the p-value distribution for a gene set.
1 |
x |
An object of class |
y |
A single integer or character string specifying the results
of which gene set to plot. This has to be given if |
... |
Optional arguments used in order to customize the plot. See the ‘details’ section. |
Plotting the p-value distribution and the estimation of the regularized compontent for a gene set allows to insepct the results in detail. The plot illustrates the empirical cumulative density function of the p-values obtained from testing for a differential effect between the groups. Additionally, the fit of the uniformly distributed component along with the estimated fraction of regularized genes and the GSRI is shown.
The plot
method uses a special system in order to customize the
graphical elements of the figure. It allows to refer to the different
components with the name of the additional input argument; its value
is a list containing named graphical parameters for the underlying
plot function. The following list describes the possible names and
their contribution.
plot
Arguments for the axis and the labeling, passed to the
plot
function.
fit
Arguments for the fit of the linear component of the
ECDF, corresponding to the part without differential effect,
passed to the lines
function.
ecdf
Arguments for the ECDF of the p-values, passed to the
lines
function.
reg
Arguments for the horizontal line indicating the fraction
of regulation, passed to the lines
function.
regText
Arguments for the text label of reg
, passed to
the text
function.
gsri
Arguments for the horizontal line indicating the
GSRI, passed to the lines
function.
gsriText
Arguments for the text label of gsri
, passed to
the text
function.
Thus, changing for example the limit of the y-axis, the plot type and color of the ECDF, and the label of the x-axis, you can use:
plot(x, plot=list(ylim=c(0, 0.8), xlab=expression(p)),
ecdf=list(type="s", col="darkgreen"))
For more details, please see the ‘examples’ section.
Julian Gehring
Maintainer: Julian Gehring <julian.gehring@fdm.uni-freiburg.de>
Package:
GSRI-package
Class:
Gsri
Methods:
gsri
getGsri
getCdf
getParms
export
sortGsri
plot
show
summary
readCls
readGct
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