get_reduced_dimensions_PCA_bulk: Get principal component information to a tibble using PCA

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

Get principal component information to a tibble using PCA

Description

Get principal component information to a tibble using PCA

Usage

get_reduced_dimensions_PCA_bulk(
  .data,
  .element = NULL,
  .feature = NULL,
  .value = NULL,
  .dims = 2,
  top = Inf,
  of_elements = TRUE,
  transform = NULL,
  scale = FALSE,
  ...
)

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')
.dims	A integer vector corresponding to principal components of interest (e.g., 1:6)
top	An integer. How many top genes to select
of_elements	A boolean
transform	A function to use to transform the data internally (e.g., log1p)
scale	A boolean
...	Further parameters passed to the function prcomp

Value

A tibble with additional columns

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