filter_categorize {animalcules} | R Documentation

## Categorize continuous variables

### Description

Categorize continuous variables

### Usage

    filter_categorize(
      sam_table,
      sample_condition,
      new_label,
      nbins = NULL,
      bin_breaks = c(),
      bin_labels = c()
    )

### Arguments

`sam_table` | A sample x condition dataframe
`sample_condition` | Continuous variable to categorize
`new_label` | Column name for categorized variable
`nbins` | Auto select ranges for n bins/categories
`bin_breaks` | Manually select ranges for bins/categories
`bin_labels` | Manually label bins/categories

### Value

A list with an updated sample table and before/after plots

### Examples

    library(SummarizedExperiment)
    data_dir = system.file('extdata/MAE.rds', package = 'animalcules')
    toy_data <- readRDS(data_dir)
    microbe <- MultiAssayExperiment::experiments(toy_data)[[1]]
    samples <- as.data.frame(colData(microbe))
    result <- filter_categorize(samples,
                                sample_condition = 'AGE',
                                new_label='AGE_GROUP',
                                bin_breaks=c(0,55,75,100),
                                bin_labels=c('Young','Adult','Elderly'))
    result$sam_table
    result$plot.unbinned
    result$plot.binned

[Package animalcules version 1.3.6 Index]