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Generate mixed-type clustering data with signal and noise

gen_mixed.Rd

Generates synthetic mixed datasets with controllable numerical and categorical signal/noise structure and balanced cluster sizes.

Usage

gen_mixed(
  k_true,
  clustSizeEq = 50,
  numsignal = 2,
  numnoise = 2,
  catsignal = 2,
  catnoise = 2,
  q = 5,
  q_err = 9,
  numsep = 0.1,
  catsep = 0.5,
  seed = NULL,
  error_type = c("normal", "chisq"),
  error_df = 2,
  error_scale = 1
)

Arguments

k_true

Number of clusters

clustSizeEq

Observations per cluster

numsignal

Number of numerical signal variables

numnoise

Number of numerical noise variables

catsignal

Number of categorical signal variables

catnoise

Number of categorical noise variables

q

Number of categories for signal categorical variables

q_err

Number of categories for categorical noise

numsep

Separation for numerical signal

catsep

Separation for categorical signal

seed

Optional seed

error_type

Error distribution ("normal" or "chisq")

error_df

Degrees of freedom for chi-square noise

error_scale

Scale of noise

Value

A list with elements df, X_num, X_cat, y, num_cols, cat_cols