get_su {FCBF} | R Documentation

## Symmetrical Uncertainty diagnostic

### Description

This functions runs symmetrical uncertainty for a feature table and a class, returning the scores of symmetrical uncertainty for all features

### Usage

    get_su(x, y, samples_in_rows = FALSE, bar_of_progress = FALSE)

### Arguments

`x` | A table of features (observations in rows, variables in columns)
`y` | A target vector, factor containing classes of the observations. Note: the observations must be in the same order as the parameter x.
`samples_in_rows` | A flag for the case in which samples are in rows and variables/genes in columns. Defaults to FALSE.
`bar_of_progress` | A flag to show progress. Defaults to FALSE.

### Value

A dataframe containing the SU values for each feature

### Examples

    data(scDengue)
    exprs <- SummarizedExperiment::assay(scDengue, 'logcounts')
    discrete_expression <- as.data.frame(discretize_exprs(exprs))
    infection <- SummarizedExperiment::colData(scDengue)
    target <- infection$infection
    su_values <- get_su(discrete_expression[,],target[])
    su_values[1:10,]

[Package FCBF version 1.2.5 Index]