Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to convert a variable into zero mean and unit variance in an R data frame?
Converting a variable into zero mean and unit variance means that we want to standardize the variable and it can be done with the help of scale function we can follow the below steps −
- First of all, creating data frame.
- Then using scale function to convert the variable into zero mean and unit variance.
Create the data frame
Let's create a data frame as shown below −
x<-sample(1:100,20) df<-data.frame(x) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x 1 87 2 17 3 28 4 100 5 41 6 44 7 25 8 92 9 37 10 3 11 9 12 46 13 15 14 53 15 29 16 65 17 99 18 91 19 83 20 51
Converting variable zero mean and unit variance
Use scale function to convert x into zero mean and unit variance variable −
x<-sample(1:100,20) df<-data.frame(x) Converted_df<-scale(df$x) Converted_df
Output
[,1] [1,] 1.143807532 [2,] -1.064924254 [3,] -0.717837830 [4,] 1.554000578 [5,] -0.307644784 [6,] -0.212984851 [7,] -0.812497764 [8,] 1.301574088 [9,] -0.433858029 [10,] -1.506670611 [11,] -1.317350744 [12,] -0.149878228 [13,] -1.128030876 [14,] 0.070994950 [15,] -0.686284519 [16,] 0.449634685 [17,] 1.522447267 [18,] 1.270020777 [19,] 1.017594287 [20,] 0.007888328 attr(,"scaled:center") [1] 50.75 attr(,"scaled:scale") [1] 31.69239
Updated on: 13-Aug-2021
620 Views
Advertisements