sPLSDA: sPLSDA function

In singha53/amritr: Accessory Functions Used by Amrit Singh

Description

takes in predited weights and true labels and determines performance characterisitcs

Usage

sPLSDA(X.train, Y.train, keepX, ncomp, X.test = NULL, Y.test = NULL,
  filter = "p.value", topranked = 50)

Arguments

X.train	n1xp dataset (discovery cohort)
Y.train	vector of phenotype labels with names(Y.train) == rownames(X.train)
keepX	(# of variables to select per component)
ncomp	number of components
X.test	n2xp dataset (validaton cohort)
Y.test	vector of phenotype labels with names(Y.test) == rownames(X.test)
filter	apply no filter "none" or a p.value filter "p.value
topranked	select the top significant variables based on limma

singha53/amritr documentation built on July 21, 2019, 3:46 p.m.