Steven Sanderson builds a sample:
Stratified sampling is a technique used to ensure that different subgroups (strata) within a population are represented in a sample. This method is particularly useful when certain strata are underrepresented in a simple random sample. In this post, we’ll explore how to perform stratified sampling in R using both base R and the
dplyr
package. We’ll walk through examples and explain the code, so you can try these techniques on your own data.
Click through to see how.
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