Drop redundant elements (e.g., elements) for which feature (e.g., genes) aboundances are correlated
remove_redundancy_elements_through_correlation(
.data,
.element = NULL,
.feature = NULL,
.value = NULL,
correlation_threshold = 0.9,
top = Inf,
of_elements = TRUE,
transform = NULL
)
A tibble
A column symbol. The column that is used to calculate distance (i.e., normally elements)
A column symbol. The column that is represents entities to cluster (i.e., normally genes)
A column symbol with the value the clustering is based on (e.g., `count`)
A real number between 0 and 1
An integer. How many top genes to select
A boolean
A function to use to tranforma the data internalli (e.g., log1p)
A tibble with redundant elemens removed