Sampling is a fundamental technique in data analysis and statistical modeling. It allows us to draw meaningful insights and make inferences about a larger population based on a representative subset. In the world of R programming, the
sample()function stands as a versatile tool that enables us to create random samples efficiently. In this post, we will explore the
sample()function and its various applications through a series of plain English examples.
Click through for those examples.