dot-gen_samples_proportional: .gen_samples_proportional

In valueSetCompare: Comparing HRQoL Instrument Value Sets

.gen_samples_proportional

Description

The function takes in a dataframe and a column (factor_column) that dictates the groupings. It then generates bootstrap samples ensuring that each sample is proportionally representative of the original dataset based on the given groupings.

Usage

.gen_samples_proportional(
  df,
  factor_column = "vasdecile",
  sample_size = 1000,
  number_of_samples = 1000
)

Arguments

df	A dataframe containing the dataset.
factor_column	A string specifying the column name in the dataframe that contains the groupings or factors.
sample_size	An integer indicating the size of each bootstrap sample. Default is 1000.
number_of_samples	An integer indicating the number of bootstrap samples to generate. Default is 1.

Value

A matrix containing bootstrap samples with rows corresponding to individual samples and columns corresponding to observations in each sample. The matrix has an attribute "gr" that contains the calculated size for each group to ensure proportional representation.

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