factoring: Sample design - Generating multiple factor designs from...

In proteomics: Statistical Analysis of High Throughput Proteomics Data

Description

Making a multiple-factor ANOVA from the single channel variable of an iTRAQ experiment.

Usage

  factoring(dwide, cvmat)

Arguments

dwide	iTRAQ data in wide format including columns corresponding to iTRAQ channels containing their intensities.
cvmat	a matrix that hold the information on which channel is mapped to which factor.

Details

This function uses a matrix convmat to convert the single channel into a full fledged multiple factor ANOVA.

Examples

channels <- c("X113", "X114", "X115", "X116", "X117", "X118", "X119") #, "X121")
typus     <- c(rep(c("A", "B", "C"), each=2), "reference")
treatment <- c(rep(c("I", "II"), 3), "mixed")
convmat   <- data.frame(channels=channels, typus=typus, treatment=treatment)
print(convmat)
## Not run: factoring(dwide, cvmat=convmat)

proteomics documentation built on May 2, 2019, 8:51 a.m.