Given a dataframe of numerical features, return a euclidean distance matrix.
Usage
get_dist_matrix(
df,
input_type,
cont_dist_fn,
disc_dist_fn,
ord_dist_fn,
cat_dist_fn,
mix_dist_fn,
weights_row
)Arguments
- df
Raw dataframe with subject IDs in column "subjectkey"
- input_type
Either "numeric" (resulting in euclidean distances), "categorical" (resulting in binary distances), or "mixed" (resulting in gower distances)
- cont_dist_fn
distance metric function for continuous data
- disc_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 dataframe where the column names contain the column names in df and the row contains the corresponding weights_row.