Extend an solutions matrix to include outcome evaluations
Source:R/solutions_matrix.R
extend_solutions.RdExtend an solutions matrix to include outcome evaluations
Usage
extend_solutions(
solutions_matrix,
target_list = NULL,
data_list = NULL,
cat_test = "chi_squared",
calculate_summaries = TRUE,
min_pval = 1e-10,
processes = 1,
verbose = FALSE
)Arguments
- solutions_matrix
Result of
batch_snfstoring cluster solutions and the settings that were used to generate them.- target_list
A data_list with features to calculate p-values for. Features in the target list will be included during p-value summary measure calculations.
- data_list
A data_list with features to calcualte p-values for, but that should not be incorporated into p-value summary measure columns (i.e., min/mean/max p-value columns).
- cat_test
String indicating which statistical test will be used to associate cluster with a categorical feature. Options are "chi_squared" for the Chi-squared test and "fisher_exact" for Fisher's exact test.
- calculate_summaries
If TRUE, the function will calculate the minimum and mean p-values for each row of the solutions matrix.
- min_pval
If assigned a value, any p-value less than this will be replaced with this value.
- processes
The number of processes to use for parallelization. Progress is only reported for sequential processing (processes = 1).
- verbose
If TRUE, print progress to console.