cluster.sample {samplingR}

Cluster sample for non-grouped data.

Description

Retrieves a sample of clusters for data which interest variable values are not grouped by cluster.

Usage

cluster.sample(data, n, replace = FALSE)

Arguments

data

Matrix or data.frame containing the population data in first column and the cluster it belongs to in the last column.

n

Number of clusters of the returning sample.

replace

Whether the sample to be taken can have repeated clusters or not.

Details

#' If your data is grouped by cluster use srs.sample function to retrieve your sample. Remember grouped by cluster data must have interest variable data in the first column, cluster size in the second and the cluster name in the last column. Interest values of grouped data must reflect the total value of each cluster.

Value

Data frame of a clustered sample

Examples

data<-cbind(rnorm(500, 50, 20), rep(c(1:50),10))
sample<-cluster.sample(data, 10);sample