cluster_gen_together {lsasim}

Generate cluster samples with lowest-level questionnaires

Description

This is a sub-function of 'cluster_gen' that performs cluster sampling where only the lowest-level individuals (e.g. students) fill out questionnaires.

Usage

cluster_gen_together(
  n_levels,
  n,
  N,
  sum_pop,
  calc_weights,
  sampling_method,
  cluster_labels,
  resp_labels,
  collapse,
  n_X,
  n_W,
  cat_prop,
  c_mean,
  sigma,
  cor_matrix,
  rho,
  verbose,
  ...
)

Arguments

n_levels

number of cluster levels

n

numeric vector with the number of sampled observations (clusters or subjects) on each level

N

list of numeric vector with the population size of each *sampled* cluster element on each level

sum_pop

total population at the lowest level (sampled or not)

calc_weights

if 'TRUE', sampling weights are calculated

sampling_method

can be "SRS" for Simple Random Sampling or "PPS" for Probabilities Proportional to Size

cluster_labels

character vector with the names of each cluster level

resp_labels

character vector with the names of the questionnaire respondents on each level

collapse

if 'TRUE', function output contains only one data frame with all answers

n_X

list of 'n_X' per cluster level

n_W

list of 'n_W' per cluster level

cat_prop

list of cumulative proportions for each item. If theta = TRUE, the first element of cat_prop must be a scalar 1, which corresponds to the theta.

c_mean

vector of means for the continuous variables or list of vectors for the continuous variables for each level

sigma

vector of standard deviations for the continuous variables or list of vectors for the continuous variables for each level

cor_matrix

correlation matrix or list of correlation matrices per PSU

rho

intraclass correlation (scalar, vector or list)

verbose

if 'TRUE', prints output messages

...

Additional parameters to be passed to 'questionnaire_gen()'

See Also

cluster_gen cluster_gen_separate cluster_gen_together