dot-gen_samples: .gen_samples

In valueSetCompare: Comparing HRQoL Instrument Value Sets

.gen_samples

Description

This function generates stratified samples from a specified dataframe.

Usage

.gen_samples(
  df,
  weight_column = "VAS",
  weight_range = c(0:100),
  weight_values = NULL,
  weight_function = .makeWeightsMixed,
  sample_size = 1000,
  number_of_samples = 1000
)

Arguments

df	A data frame from which the samples are to be generated.
weight_column	A string specifying the name of the column to use for weighting.Defaults to "VAS".
weight_range	A numeric vector indicating the range of weight_column, default is 0 to 100.
weight_values	A numeric vector specifying the weight values of interest. Defaults to c(0, 25, 50, 75, 100).
weight_function	A function used to compute weights. Defaults to "makeWeightsTriangular".
sample_size	An integer specifying the size of each sample. Defaults to 1000.
number_of_samples	An integer specifying the number of samples to generate. Defaults to 1000.

Value

An array containing the indices of the sampled rows in the original data frame. The dimensions of the array are determined by the number of weight values and the number of samples.

valueSetCompare documentation built on June 22, 2024, 6:57 p.m.