os.clean {OmicSense}

Clean data by eliminating predictors with many missing values

Description

Clean data by eliminating predictors with many missing values

Usage

os.clean(x, missing = 0.1, lowest = 10)

Arguments

x

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

missing

A ratio of missing values in each column allowed to be remained in the data.

lowest

The lowest value to be leaved in the data.

Value

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

Author(s)

Takahiko Koizumi

Examples

data(Pinus)
train.raw <- Pinus$train
ncol(train.raw)

train <- os.clean(train.raw)
ncol(train)