# 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