Description Usage Arguments Value Author(s) References See Also Examples
Base function for dimensionality reduction by statistical recoupling of variables
1 |
X |
matrix of metabolomic data |
minsize |
a numerical value defining the singlet size |
correl |
a numerical value defining the bucketting resolution |
clustf |
a numerical value defining the correlation threshold |
A list:
indicesdebf |
a vector indicating the starting border of superclusters |
indicesfinf |
a vector indicating the ending border of superclusters |
Xcluster |
matrix of reduced data |
Jean-Baptiste Cazier
Blaise,B. et al (2009) Statistical recoupling prior to significance testing in nuclear magnetic resonance based metabonomics, Anal. Chem., 81(15), 6242-6251.
1 2 3 4 5 6 7 8 9 10 11 12 13 | # Load data files
load_datafiles()
Sp<-read.table(phenofile, as.is=TRUE, header=TRUE, sep='\t')
# Perform the SRV analysis to reduce the number of dimension of Spectra #data (Sp)
corrT=0.9 # correlation threshold
minsize=10 # singlet size
met="rectangle" # summary measure
SRV<-SRV(t(Sp), minsize, corrT,clustf=met)
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