How to generate random samples in R?

In R, random samples can be generated using the `sample()` function. This function allows users to select a specified number of elements from a data set at random, with or without replacement. By specifying the `size` parameter, users can control the number of samples to be generated. Additionally, users can set the `replace` parameter to determine whether sampling should be done with replacement. Random samples can provide valuable insights and help in various statistical analyses in R.
This mind map was published on 15 May 2024 and has been viewed 93 times.

You May Also Like

What are the different algorithms used in data structures?

How to use Kotlin and Spring for developing RESTful APIs?

Greek gods and goddesses

What are the different types of valuation methods?

What are the different types of hypothesis tests in R?

How can t-test be used in R?

What are the types of t-tests in R?

How to interpret the results of a t-test in R?

What is random sampling in R?

How to ensure the randomness of samples in R?

How is a confidence interval calculated in R?

What does the confidence level represent in R?