pls.analysis: PLS-DA analysis

In RedJane/tfbs.qsam: The analysis of TFBS by QSAM

Description

The function performs PLS-DA analysis and returns the detailed result about the created model. There are two possible input formats: set1 and set2 (and the function would prepare and form all nessacery sets by itself), and train and test (user defines these sets in the proper format).

Usage

pls.analysis(set1 = NULL, set2 = NULL, train = NULL, test = NULL, 
    shuffle = TRUE, train.part = 50)

Arguments

set1	a matrix or a data.frame for set1 with objects in rows and descriptors in columns
set2	a matrix or a data.frame for set2 with objects in rows and descriptors in columns
train	a data.frame with two subobjects of class AsIs - descriptors and binary classes
test	a data.frame with two subobjects of class AsIs - descriptors and binary classes
shuffle	logical: do you want to shuffle objects order in each set?
train.part	a proportion of objects to be put in the training process; only if you specify set1 and set2

Author(s)

Evgenia Temlyakova

Examples

set1<-matrix(rnorm(500, 1), nrow=50,  byrow=TRUE)
set2<-matrix(rnorm(500, 2), nrow=50,  byrow=TRUE)
res<-pls.analysis(set1=set1, set2=set2)

train.set<-rbind(set1[1:25,], set2[1:25,])
test.set<-rbind(set1[26:50,], set2[26:50,])
train<-data.frame(CH=I(train.set), TY=I(c(rep(1, 25), rep(0, 25))))
test<-data.frame(CH=I(test.set), TY=I(c(rep(1, 25), rep(0, 25))))
res<-pls.analysis(train=train, test=test)

RedJane/tfbs.qsam documentation built on May 9, 2019, 9:37 a.m.