- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
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 divide data frame row values by row variance in R?
To divide data frame row values by row variance R, we can follow the below steps −
- First of all, create a data frame.
- Then, use apply function to divide the data frame row values by row variance.
Create the data frame
Let's create a data frame as shown below −
x<-rpois(25,1) y<-rpois(25,1) z<-rpois(25,1) df<-data.frame(x,y,z) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x y z 1 1 1 1 2 4 0 0 3 0 3 0 4 2 1 0 5 1 0 0 6 1 1 1 7 1 3 2 8 1 1 2 9 0 1 1 10 1 1 1 11 3 0 3 12 3 0 1 13 4 2 0 14 1 0 0 15 2 1 1 16 2 0 0 17 3 2 1 18 0 0 0 19 1 0 2 20 0 1 2 21 1 0 1 22 0 1 2 23 1 0 0 24 0 2 2 25 2 1 1
Divide the data frame row values by row variance
Using apply function to divide the row values of df by row variance −
x<-rpois(25,1) y<-rpois(25,1) z<-rpois(25,1) df<-data.frame(x,y,z) df_new<-t(apply(df,1, function(x) x/var(x))) df_new
Output
x y z [1,] Inf Inf Inf [2,] 0.750000 0.0 0.0000000 [3,] 0.000000 1.0 0.0000000 [4,] 2.000000 1.0 0.0000000 [5,] 3.000000 0.0 0.0000000 [6,] Inf Inf Inf [7,] 1.000000 3.0 2.0000000 [8,] 3.000000 3.0 6.0000000 [9,] 0.000000 3.0 3.0000000 [10,] Inf Inf Inf [11,] 1.000000 0.0 1.0000000 [12,] 1.285714 0.0 0.4285714 [13,] 1.000000 0.5 0.0000000 [14,] 3.000000 0.0 0.0000000 [15,] 6.000000 3.0 3.0000000 [16,] 1.500000 0.0 0.0000000 [17,] 3.000000 2.0 1.0000000 [18,] NaN NaN NaN [19,] 1.000000 0.0 2.0000000 [20,] 0.000000 1.0 2.0000000 [21,] 3.000000 0.0 3.0000000 [22,] 0.000000 1.0 2.0000000 [23,] 3.000000 0.0 0.0000000 [24,] 0.000000 1.5 1.5000000 [25,] 6.000000 3.0 3.0000000
- Related Articles
- How to divide the row values by row mean in R data frame?
- How to divide the data frame row values in R by row median?
- How to divide the row values by row sum in R data frame?
- How to divide matrix values by row variance in R?
- How to divide data frame row values by maximum value in each row excluding 0 in R?
- How to divide data frame rows in R by row minimum?
- How to divide data frame rows in R by row maximum?
- How to divide the row values by row mean in R matrix?
- How to divide the row values by row sum in R matrix?
- How to divide the data frame rows in R by row standard deviation?
- How to divide rows in a data.table object by row variance in R?
- How to divide the row values by row sum in data.table object in R?
- How to divide the row values by row mean in data.table object in R?
- How to multiply row values in a data frame having multiple rows with single row data frame in R?
- How to find the row variance of columns having same name in R data frame?

Advertisements