Checking the arguments introduces in the mapper object.
check_arg_mapper(
full_data,
filter_values,
distance_type,
clustering_type,
linkage_type,
na.rm = TRUE
)optimal_clustering_mode
Matrix with the columns of the input matrix corresponding to the individuals belonging to the level.
Vector obtained after applying the filtering function to the input matrix, i.e, a vector with the filtering function values for each included sample.
Type of distance to be used for clustering. Choose between correlation ("cor") and euclidean ("euclidean"). "cor" default option.
Type of clustering method. Choose between "hierarchical" and "PAM" (“partition around medoids”) options. "hierarchical" default option.
Linkage criteria used in hierarchical clustering. Choose between "single" for single-linkage clustering, "complete" for complete-linkage clustering or "average" for average linkage clustering (or UPGMA). Only necessary for hierarchical clustering. "single" default option.
logical. If TRUE, NA rows are omitted.
If FALSE, an error occurs in case of NA rows.