hist-methods {lumi} | R Documentation |
Creating density plot of sample intensities in a ExpressionSet object. It is equivalent to density-methods.
## S4 method for signature 'ExpressionSet': hist(x, logMode=TRUE, xlab = NULL, ylab = "density", type = "l", col=1:dim(x)[2], lty=1:dim(x)[2], lwd=1, index.highlight = NULL, color.highlight = 2, symmetry = NULL, addLegend = TRUE, subset = 5000, ...)
x |
a ExpressionSet object |
logMode |
determine whether the density plot is based on a log2 scale |
xlab |
xlab of the density plot |
ylab |
ylab of the density plot |
type |
parameter of plot function |
col |
line colors of the density plot |
lty |
line types of the density plot |
lwd |
line width of plot function |
index.highlight |
the column index of the highlighted density curve |
color.highlight |
color of highlighted density curve |
symmetry |
the boundary position suppose to be symmetric distributed |
addLegend |
whether add legend to the plot or not |
subset |
subset of rows used to plot. It can be an index vector, or the length of a random subset |
... |
additional parameters for matplot function |
LumiBatch-class
, density-methods, hist
## load example data data(example.lumi) hist(example.lumi)