remove_redundancy_elements_through_correlation: Drop redundant elements (e.g., elements) for which feature...

In stemangiola/nanny: High-Level Data Analysis and Manipulation in 'tidyverse' Style

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

Description

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

Usage

remove_redundancy_elements_through_correlation(
  .data,
  .element = NULL,
  .feature = NULL,
  .value = NULL,
  correlation_threshold = 0.9,
  top = Inf,
  of_elements = TRUE,
  transform = NULL
)

Arguments

.data	A tibble
.element	A column symbol. The column that is used to calculate distance (i.e., normally elements)
.feature	A column symbol. The column that is represents entities to cluster (i.e., normally genes)
.value	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_elements	A boolean
transform	A function to use to tranforma the data internalli (e.g., log1p)

Value

A tibble with redundant elemens removed

stemangiola/nanny documentation built on July 29, 2023, 1:23 a.m.