matplotProbesPDNN {affypdnn} | R Documentation |
Plot the probe intensities as computed by 'pmcorrect.pdnn' or 'pmcorrect.pdnnpredict'
matplotProbesPDNN(x, type="l", ...)
x |
a matrix (and attributes) as return by pmcorrect.pdnn
or pmcorrect.pdnnpredict . |
type |
type of plot (same as in matplot |
... |
optional arguments to be passed to matplot |
The crosses are the probe intensities which are considered `ok' by the outlier detection part of the algorithm, while the circles are the ones considered `outliers'
Only used for its side-effect.
pmcorrect.pdnn
and pmcorrect.pdnnpredict
# to appear...