get_su_for_feature_table_and_vector {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_for_feature_table_and_vector(
      feature_table,
      target_vector,
      samples_in_rows = FALSE,
      bar_of_progress = FALSE
    )

### Arguments

`feature_table` | A table of features (observations in rows, variables in columns)
`target_vector` | 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_for_feature_table_and_vector(discrete_expression[,],target[])
    su_values[1:10,]

[Package FCBF version 2.0.0 Index]