sampling: Simple random sampling

In radiant-rstats/radiant.design: Design Menu for Radiant: Business Analytics using R and Shiny

Simple random sampling

Description

Simple random sampling

Usage

sampling(
  dataset,
  vars,
  sample_size,
  seed = 1234,
  data_filter = "",
  arr = "",
  rows = NULL,
  na.rm = FALSE,
  envir = parent.frame()
)

Arguments

dataset	Dataset to sample from
vars	The variables to sample
sample_size	Number of units to select
seed	Random seed to use as the starting point
data_filter	Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
arr	Expression to arrange (sort) the data on (e.g., "color, desc(price)")
rows	Rows to select from the specified dataset
na.rm	Remove rows with missing values (FALSE or TRUE)
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/design/sampling.html for an example in Radiant

Value

A list of class 'sampling' with all variables defined in the sampling function

See Also

summary.sampling to summarize results

Examples

sampling(rndnames, "Names", 10)

radiant-rstats/radiant.design documentation built on Jan. 19, 2024, 12:34 p.m.