probeplot: probeplot Plot RPA results and probe-level data for a...
In RPA: RPA: Robust Probabilistic Averaging for probe-level analysis

Description Usage Arguments Details Value Author(s) References Examples

probeplot Plot RPA results and probe-level data for a specified probeset.

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probeplot(dat, highlight.probes = NULL, pcol = "darkgrey", hcol = "red",
  cex.lab = 1.5, cex.axis = 1, cex.main = 1, cex.names = 1, main = "",
  ...)

`dat`	Background-corrected and normalized data: probes x samples.
`highlight.probes`	Optionally highlight some of the probes (with dashed line)
`pcol`	Color for probe signal visualization.
`hcol`	Color for probe highlight
`cex.lab`	Label size adjustment parameters.
`cex.axis`	Axis size adjustment parameters.
`cex.main`	Title size adjustment parameters.
`cex.names`	Names size adjustment parameters.
`main`	Title text.
`...`	Other parameters to pass for plot function.

Plots the preprocessed probe-level observations, estimated probeset-level signal, and probe-specific variances. It is also possible to highlight individual probes and external summary measures.

Used for its side-effects. Returns probes x samples matrix of probe-level data plotted on the image.

Leo Lahti leo.lahti@iki.fi

See citation("RPA")

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RPA Copyright (C) 2008-2016 Leo Lahti.
This program comes with ABSOLUTELY NO WARRANTY.
This is free software, and you are welcome to redistribute it under the FreeBSD open source license.

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