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

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

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

nanny documentation built on July 1, 2020, 10:20 p.m.