remove_redundancy_elements_through_correlation {tidybulk} | R Documentation

## Drop redundant elements (e.g., samples) for which feature (e.g., genes) aboundances are correlated

### Description

Drop redundant elements (e.g., samples) for which feature (e.g., genes) aboundances are correlated

### Usage

    remove_redundancy_elements_through_correlation(
      .data,
      .element = NULL,
      .feature = NULL,
      .abundance = NULL,
      correlation_threshold = 0.9,
      top = Inf,
      of_samples = TRUE,
      log_transform = FALSE
    )

### Arguments

`.data` | A tibble
`.element` | A column symbol. The column that is used to calculate distance (i.e., normally samples)
`.feature` | A column symbol. The column that is represents entities to cluster (i.e., normally genes)
`.abundance` | A column symbol with the value the clustering is based on (e.g., 'count')
`correlation_threshold` | A real number between 0 and 1
`top` | An integer. How many top genes to select
`of_samples` | A boolean
`log_transform` | A boolean, whether the value should be log-transformed (e.g., TRUE for RNA sequencing data)

### Value

A tibble with redundant elements removed

[Package tidybulk version 1.4.0 Index]