extend_solutions {metasnf} | R Documentation |
Extend an solutions matrix to include outcome evaluations
Description
Extend 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 |
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. |
Value
extended_solutions_matrix an extended solutions matrix that contains p-value columns for each outcome in the provided target_list