Tidying up of metadata. Samples belonging to undesidered categories (if specified) will be removed as well as categories with less than five samples, and NAs.

Usage

tidy_metadata(
  category_subset = NULL,
  metadata,
  category_variable = NULL,
  verbose = FALSE
)

category_subset: optional character vector indicating which categories are used for comparison. If not specified, all categories in category_variable will be used.
metadata: a named vector, matrix, or data.frame containing sample annotations or categories. If matrix or data.frame, each row should correspond to a sample, with columns representing different sample characteristics (e.g., treatment group, condition, time point). The colname of the sample characteristic to be used for differential analysis must be specified in category_variable. Rownames must match the sample IDs used in assayData. If named vector, each element must correspond to a sample characteristic to be used for differential analysis, and names must match sample IDs used in the colnames of assayData. Continuous variables are not allowed.
category_variable: column name in metadata (if data.frame or matrix) or NULL if metadata is already a named vector containing category information.
verbose: Logical. Whether to print detailed output messages during processing. Default is FALSE.

a tidy named factor vector of sample annotations.