- Trending Categories
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 multiply row values in a data frame having multiple rows with single row data frame in R?
To multiply row values in a data frame having multiple rows with single row data frame in R, we can follow the below steps −
First of all, create a data frame with multiple rows and a data frame with single row.
Then, use mapply function to multiply row values in the data frame having multiple rows with single row data frame.
Example
Create the first data frame
Let’s create a data frame as shown below −
x<-rpois(25,5) y<-rpois(25,2) z<-rpois(25,2) df1<-data.frame(x,y,z) df1
Output
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x y z 1 8 4 0 2 8 2 1 3 2 1 2 4 4 1 4 5 6 5 1 6 4 2 1 7 6 1 3 8 4 3 3 9 3 1 2 10 3 3 1 11 6 0 3 12 7 1 2 13 3 4 5 14 7 2 4 15 2 2 2 16 5 6 2 17 2 0 2 18 5 2 0 19 4 1 3 20 5 2 1 21 3 3 1 22 4 0 1 23 5 3 2 24 4 2 4 25 5 1 2
Create the second data frame
Let’s create a data frame as shown below −
df2<-data.frame(v1=5,v2=0,v3=2) df2
Output
v1 v2 v3 1 5 0 2
Multiply values from two data frames
Using mapply function to multiply row values in the data frame df1 having multiple rows with single row data frame df2 −
x<-rpois(25,5) y<-rpois(25,2) z<-rpois(25,2) df1<-data.frame(x,y,z) df2<-data.frame(v1=5,v2=0,v3=2) mapply(`*`,df1,df2)
Output
x y z [1,] 25 0 8 [2,] 20 0 2 [3,] 50 0 6 [4,] 25 0 8 [5,] 10 0 8 [6,] 10 0 2 [7,] 30 0 4 [8,] 35 0 2 [9,] 40 0 4 [10,] 30 0 6 [11,] 30 0 0 [12,] 20 0 0 [13,] 20 0 2 [14,] 15 0 6 [15,] 25 0 0 [16,] 15 0 6 [17,] 10 0 0 [18,] 40 0 4 [19,] 35 0 4 [20,] 15 0 4 [21,] 15 0 0 [22,] 20 0 0 [23,] 30 0 2 [24,] 25 0 2 [25,] 35 0 6
- Related Articles
- How to divide data frame row values by row variance in R?
- How to split a data frame in R with conditional row values?
- 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 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 remove rows in an R data frame using row names?
- How to replace missing values with row means in an R data frame?
- How to create a single data frame from data frames stored in a list with row names in R?
- How to merge rows having same values in an R data frame?
- How to divide the data frame rows in R by row standard deviation?
- How to add a row to a frame from another data frame in R?
- How to change row values based on column values in an R data frame?
- How to divide data frame row values by maximum value in each row excluding 0 in R?

Advertisements