Reader small image

You're reading from  The Statistics and Machine Learning with R Workshop

Product typeBook
Published inOct 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781803240305
Edition1st Edition
Languages
Right arrow
Author (1)
Liu Peng
Liu Peng
author image
Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng

Right arrow

Understanding order statistics

Order statistics are the values of a collection of samples when arranged in ascending or descending order. These ordered samples provide useful information about the distribution and characteristics of the sampled data. Usually, the k th order statistic is the k th smallest value in the sorted sample.

For example, for a collection of samples of size n, the order statistics are denoted as X 1, X 2, , X n, where X 1 is the smallest value (the minimum), X n is the largest value (the maximum), and X k represents the k th smallest value in the sorted sample.

Let’s look at how to extract order statistics in R.

Extracting order statistics

Extracting the order statistics of a collection of samples could involve two types of tasks. We may be interested in collecting samples in an ordered fashion, which can be achieved using the sort() function. Alternatively, we may be interested in extracting...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
The Statistics and Machine Learning with R Workshop
Published in: Oct 2023Publisher: PacktISBN-13: 9781803240305

Author (1)

author image
Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng