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Multiply Row Values in Data Frame 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
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