probe.performance: Probe performance

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

Description

Provide a table of probe-level parameter estimates (affinity and stochastic noise) for RPA output.

Usage

probe.performance(probe.parameters, abatch, sets = NULL)

Arguments

probe.parameters	List with affinities and variances for the probesets
abatch	Affybatch used in the analysis
sets	Specify the probesets to include in the output. Default: All probesets

Value

Data frame of probe-level parameter estimates

Author(s)

Leo Lahti [e-mail]

References

See citation("RPA")

Examples

## Not run: 
  library(affydata); 
  data(Dilution); 
  rpa.results <- rpa.complete(Dilution); 
  tab <- probe.parameters(rpa.results); 
  df <- df[order(abs(df$tau2), decreasing = TRUE),]

## End(Not run)

RPA documentation built on Nov. 8, 2020, 7:47 p.m.