sampling: Sampling functions

In wahani/saeSim: Simulation Tools for Small Area Estimation

Description

These functions are intended to be used with sim_sample and not interactively. They are wrappers around sample_frac and sample_n.

Usage

sample_fraction(size, replace = FALSE, weight = NULL, groupVars = NULL)

sample_number(size, replace = FALSE, weight = NULL, groupVars = NULL)

sample_numbers(size, replace = FALSE, groupVars = NULL)

sample_cluster_number(size, replace = FALSE, weight = NULL, groupVars)

sample_cluster_fraction(size, replace = FALSE, weight = NULL, groupVars)

Arguments

size	<tidy-select> For sample_n(), the number of rows to select. For sample_frac(), the fraction of rows to select. If tbl is grouped, size applies to each group.
replace	Sample with or without replacement?
weight	<tidy-select> Sampling weights. This must evaluate to a vector of non-negative numbers the same length as the input. Weights are automatically standardised to sum to 1.
groupVars	character with names of variables to be used for grouping.

Details

sample_numbers is a vectorized version of sample_number.

sample_cluster_number and sample_cluster_fraction will sample clusters (all units in a cluster).

Examples

sim_base_lm() %>% sim_sample(sample_number(5))
sim_base_lm() %>% sim_sample(sample_fraction(0.5))
sim_base_lm() %>% sim_sample(sample_cluster_number(5, groupVars = "idD"))
sim_base_lm() %>% sim_sample(sample_cluster_fraction(0.5, groupVars = "idD"))

wahani/saeSim documentation built on Feb. 12, 2022, 7:21 p.m.