ppc.peak.summary {ppc}R Documentation

Produce summary of peaks from PPC analysis

Description

This function produces a summary of peaks from a PPC analysis

Usage

ppc.peak.summary(centroid.fit, peak.fit, data, user.parms, split.fit)

Arguments

centroid.fit Result of call to ppc.make.centroid.list
peak.fit Result of call to ppc.predict.peaks
data List containing mass spec data
user.parms List of user defined parameters
split.fit Result of call to ppc.find.splits

Value

Matrix containing on row per peak. Columns are peak.position, min, max of peak.position, number.of.spectra in which the peak occurs, rank.of.peak, in discriminatory power, split point for peak height, proportion of samples in class 1 exceeding split point, proportion of samples in class 2 exceeding split point etc, pairwise differences in these probabilities, peak info for each sample

Author(s)

Balasubramanian Narasimhan and Rob Tibshirani

Examples

## for a complete worked example of this function in a PPC analysis  see
##  http://www-stat.stanford.edu/~tibs/PPC/Rdist/Rscript.rawdata

[Package ppc version 1.01 Index]