| analyze_in_out_simultaneity {RareComb} | R Documentation |
Analyze relationships between rare events among multiple input and output variables
Description
This function takes a Boolean dataframe as input and analyzes the relationship between input and output variables for the combinations that that include at least a single output variable andmeet all the input criteria specified by the user.
Usage
analyze_in_out_simultaneity(boolean_input_mult_df, combo_length, min_output_count,
max_output_count, min_indv_threshold, max_freq_threshold,
input_format, output_format, pval_filter_threshold,
adj_pval_type)
Arguments
boolean_input_mult_df |
An input Boolean dataframe with multiple input and outcome variables |
combo_length |
The length of the combinations specified by the user |
min_output_count |
Minimum number of output variables present in the combination |
max_output_count |
Maximum number of output variables present in the combination |
min_indv_threshold |
Minimum number of instances that support the combination |
max_freq_threshold |
Maximum fraction of the cohort size that could support a combination (i.e., filter out highly frequent events) |
input_format |
Optional | Naming convention used for input variables (Default = 'Input_') |
output_format |
Optional | Naming convention used for output variables (Default = 'Output_') |
pval_filter_threshold |
Optional | p-value cut-off to use to identify significant combinations (Default = 0.05) |
adj_pval_type |
Optional | Type of multiple testing corrections to use (Default = 'BH'; Alternative option = 'bonferroni') |
Value
A dataframe with the list of multiple-testing adjusted statistically significant combinations along with quantitative measures (frequencies, p-values etc) that support the findings.
Author(s)
Vijay Kumar Pounraja
Examples
analyze_in_out_simultaneity(boolean_input_mult_df, 3, 1, 2, 5, 0.25,
input_format = 'Input_', output_format = 'Output_',
pval_filter_threshold = 0.05, adj_pval_type = 'BH')