Plot the density estimates for each sample
## S3 method for class 'FeatureSet': hist(x, transfo=log2, which=c("pm", "mm", "bg", "both", "all"), nsample=10000, ...)
## S3 method for class 'ExpressionSet': hist(x, transfo=identity, nsample=10000, ...)
- a function to transform the data before plotting. See 'Details'.
- number of units to sample and build the plot.
- set of probes to be plotted ("pm", "mm", "bg", "both", "all").
- arguments to be passed to
The 'transfo' argument will set the transformation to be used. For raw data, 'transfo=log2' is a common practice. For summarized data (which are often in log2-scale), no transformation is needed (therefore 'transfo=identity').
The hist methods for
Expression use a
sample) of the probes/probesets to produce the
plot (unless nsample > nrow(x)). Therefore, the user interested in reproducibility is advised to