get_dist_matrix: Calculate distance matrices

In metasnf: Meta Clustering with Similarity Network Fusion

Calculate distance matrices

Description

Given a data frame of numerical features, return a euclidean distance matrix.

Usage

get_dist_matrix(
  df,
  input_type,
  cnt_dist_fn,
  dsc_dist_fn,
  ord_dist_fn,
  cat_dist_fn,
  mix_dist_fn,
  weights_row
)

Arguments

df	Raw data frame with subject IDs in column "uid"
input_type	Either "numeric" (resulting in euclidean distances), "categorical" (resulting in binary distances), or "mixed" (resulting in gower distances)
cnt_dist_fn	distance metric function for continuous data
dsc_dist_fn	distance metric function for discrete data
ord_dist_fn	distance metric function for ordinal data
cat_dist_fn	distance metric function for categorical data
mix_dist_fn	distance metric function for mixed data
weights_row	Single-row data frame where the column names contain the column names in df and the row contains the corresponding weights_row.

Value

dist_matrix Matrix of inter-observation distances.

metasnf documentation built on April 3, 2025, 5:40 p.m.