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

In microbiome/RPA: RPA: Robust Probabilistic Averaging for probe-level analysis

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

Description

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

Usage

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

Arguments

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.

Details

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.

Value

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

Author(s)

Leo Lahti [e-mail]

References

See citation("RPA")

Examples

# 

microbiome/RPA documentation built on April 9, 2023, 10:59 a.m.