R Program to Sample from a Population

We generally require to sample data from a large population.

R has a function called sample() to do the same. We need to provide the population and the size we wish to sample.

Additionally, we can specify if we want to do sampling with replacement. By default it is done without replacement.

Example: Sample From a Population

Sample 2 items from x

> x
[1]  1  3  5  7  9 11 13 15 17
> # sample 2 items from x
> sample(x, 2)
[1] 13  9

If we don’t provide the size to sample, it defaults to the length of the population. This can be used to scramble x.

More examples to sample from a population.

> # sample with replacement
> sample(x, replace = TRUE)
[1] 15 17 13  9  5 15 11 15  1
> # if we simply pass in a positive number n, it will sample
> # from 1:n without replacement
> sample(10)
[1]  2  4  7  9  1  3 10  5  8  6

An example to simulate a coin toss for 10 times.

> sample(c("H","T"),10, replace = TRUE)
[1] "H" "H" "H" "T" "H" "T" "H" "H" "H" "T"

R Examples for Beginners – How to filter Data in R

R Examples for Beginners – R Program to Sample from a Population

 

There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $79.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!

 

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.