feature_selection {IrisSpatialFeatures} | R Documentation

## Function to extract all numeric features

### Description

Function to extract all numeric features

### Usage

    feature_selection(dat, lab)

### Arguments

`dat` | A data matrix with features as rows and samples as columns
`lab` | Label annotation that contains 2 classes, which corresponds to the samples in the column

### Value

t-test and wilcox test btween the 2 classes

### Examples

    dat <- cbind(matrix(runif(400),ncol=10),matrix(runif(400)+0.2,ncol=10))
    lab <- c(rep('classA',10),rep('classB',10))
    rownames(dat) <- paste0('F',1:nrow(dat))
    feature_selection(dat,lab)

[Package IrisSpatialFeatures version 1.3.0 Index]