# How to remove duplicates in series from each row in an R data frame?

To remove duplicates in series from each row in an R data frame, we can follow the below steps −

• Create a data frame.
• Removing duplicates in series from rows of the data frame

## Create the data frame

Let's create a data frame as shown below −

Live Demo

x1<-rpois(20,1)
x2<-rpois(20,1)
x3<-rpois(20,1)
x4<-rpois(20,1)
df<-data.frame(x1,x2,x3,x4)
df

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

x1 x2 x3 x4
1 0 1 1 0
2 0 0 0 0
3 0 1 2 2
4 3 1 1 0
5 0 1 1 2
6 0 1 0 1
7 1 0 1 1
8 0 0 0 1
9 0 0 0 2
10 2 0 0 1
11 0 0 0 3
12 0 1 1 2
13 0 3 2 0
14 2 1 0 2
15 0 0 0 1
16 0 0 0 3
17 1 1 2 0
18 1 0 0 0
19 1 0 1 3
20 0 0 2 1

## Removing duplicates in series from rows of the data frame

Use apply function with rle function to remove duplicates in rows of df −

Live Demo

x1<-rpois(20,1)
x2<-rpois(20,1)
x3<-rpois(20,1)
x4<-rpois(20,1)
df<-data.frame(x1,x2,x3,x4)
apply(df,1,FUN=function(x) rle(x)\$values)

### Output

[[1]]
x1 x3 x4
0  1   0

[[2]]
x4
0

[[3]]
x1 x2 x4
0 1  2

[[4]]
x1 x3 x4
3  1  0

[[5]]
x1 x3 x4
0  1  2

[[6]]
x1 x2 x3 x4
0  1  0  1

[[7]]
x1 x2 x4
1  0  1

[[8]]
x3 x4
0 1

[[9]]
x3 x4
0 2

[[10]]
x1 x3 x4
2  0  1

[[11]]
x3 x4
0  3

[[12]]
x1 x3 x4
0  1  2

[[13]]
x1 x2 x3 x4
0  3  2  0

[[14]]
x1 x2 x3 x4
2  1  0  2

[[15]]
x3 x4
0  1

[[16]]
x3 x4
0  3

[[17]]
x2 x3 x4
1  2  0

[[18]]
x1 x4
1  0

[[19]]
x1 x2 x3 x4
1  0 1 3

[[20]]
x2 x3 x4
0 2 1