Create Kappa Statistics Matrix
create_kappa_matrix(
enrichment_res,
use_description = FALSE,
use_active_snw_genes = FALSE
)
data frame of pathfindR enrichment results. Must-have
columns are 'Term_Description' (if use_description = TRUE
) or 'ID'
(if use_description = FALSE
), 'Down_regulated', and 'Up_regulated'.
If use_active_snw_genes = TRUE
, 'non_Signif_Snw_Genes' must also be
provided.
Boolean argument to indicate whether term descriptions
(in the 'Term_Description' column) should be used. (default = FALSE
)
boolean to indicate whether or not to use non-input active subnetwork genes in the calculation of kappa statistics (default = FALSE, i.e. only use affected genes)
a matrix of kappa statistics between each term in the enrichment results.
sub_df <- example_pathfindR_output[1:3, ]
create_kappa_matrix(sub_df)
#> hsa05415 hsa04130 hsa00190
#> hsa05415 1.00000000 -0.3855422 -0.04181185
#> hsa04130 -0.38554217 1.0000000 -0.31718062
#> hsa00190 -0.04181185 -0.3171806 1.00000000