matplotProbesPDNN: Plot the PDNN computed probe intensities

In affypdnn: Probe Dependent Nearest Neighbours (PDNN) for the affy package

Description

Plot the probe intensities as computed by 'pmcorrect.pdnn' or 'pmcorrect.pdnnpredict'

Usage

matplotProbesPDNN(x, type="l", ...)

Arguments

x	a matrix (and attributes) as returned by pmcorrect.pdnn or pmcorrect.pdnnpredict.
type	type of plot (same as in matplot)
...	optional arguments to be passed to matplot

Details

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’

Value

Only used for its side-effect.

See Also

pmcorrect.pdnn and pmcorrect.pdnnpredict

Examples

# see 'pmcorrect.pdnn'

affypdnn documentation built on Oct. 31, 2019, 7:34 a.m.