os.sort: Sort and select predictors according to the strength of...

In OmicSense: Biosensor Development using Omics Data

Sort and select predictors according to the strength of target-predictor relationship

Description

Sort and select predictors according to the strength of target-predictor relationship

Usage

os.sort(x, y, method = "linear", n.pred = ncol(x), thresh = 1)

Arguments

x	A data matrix (raw: samples, col: predictors).
y	A vector of target value.
method	A string to specify the regression function for calculating R-squared values. "linear" (default), "quadratic" or "cubic" function can be specified.
n.pred	The number of predictors to be leaved in prediction model (default: ncol(x)).
thresh	The lower threshold of R-squared value to be leaved in prediction model (default: 1).

Value

A data matrix (raw: samples, col: sorted predictors)

Author(s)

Takahiko Koizumi

Examples

data(Pinus)
train <- os.clean(Pinus$train)
target <- Pinus$target
cor(target, train[, 1])

train <- os.sort(train, target, thresh = 0.5)
cor(target, train[, 1])

OmicSense documentation built on Sept. 23, 2023, 1:06 a.m.