qc_summary_metadata() summarizes the quality control results of the metadata dataframe.
It checks the column types, calculates the percentage of NAs in each column and row,
and creates summary visualizations for categorical and numeric variables.
Usage
qc_summary_metadata(
metadata,
sample_id,
variable,
palette = NULL,
unique_threshold = 5,
verbose = TRUE
)Arguments
- metadata
A dataset containing the metadata information with the sample ID as the first column.
- sample_id
The name of the column containing the sample IDs.
- variable
The name of the column containing the different classes.
- palette
A list of color palettes for the plots. The names of the list should match the column names in the metadata. Default is NULL.
- unique_threshold
The threshold to consider a numeric variable as categorical. Default is 5.
- verbose
Whether to print the summary. Default is TRUE.