Description Usage Arguments Details Value Author(s) Examples
A simple helper function that plots the per-gene dispersion estimates together with the fitted mean-dispersion relationship.
1 2 3 | plotDispEsts(cds, name=NULL, ymin, linecol="#ff000080",
xlab = "mean of normalized counts", ylab = "dispersion",
log = "xy", cex = 0.45, ... )
|
cds |
a |
name |
this argument, together with |
ymin |
a scalar numeric, indicating the lower limit of the y-axis. The y-axis is plotted on the logarithmic scale. For the purpose of this plot, per-gene dispersion estimates that are below this value (in particular, those that happen to be zero) are shifted up to this value. If missing, the function attempts to guess a reasonable default. |
linecol |
colour used for the regression line |
xlab, ylab, log, cex, ... |
arguments that are passed on to |
This is a trivial helper function. Do not be afraid to edit and modify it to your needs.
The function is called for its side effect.
Simon Anders, sanders@fs.tum.de
1 2 3 4 | cds <- makeExampleCountDataSet()
cds <- estimateSizeFactors( cds )
cds <- estimateDispersions( cds )
plotDispEsts(cds)
|
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