Duplicate a data frame using R

In this article, we will explore various methods to duplicate the data frame by using the R Programming Language.

How to duplicate a data frame

R language offers various methods to duplicate the data frame. By using these methods provided by R, it is possible to duplicate the data frame. Some of the methods to duplicate the data frame are:

By using the data.frame() function

This method is used to duplicate the data frames efficiently. The syntax is as follows:

data.frame(data frame)

In the below example, we created a data frame and performed duplication on it by using the function data. frame().

R

df = data.frame(
  ID = 1:6,
  value=10:15,
  number =20:25
)
print("The original data frame is")
print(df)

# Duplicating dataframe 
result = data.frame(df)

print("The duplicate data frame is")
print(result)

Output:

[1] "The original data frame is"
  ID value number
1  1    10     20
2  2    11     21
3  3    12     22
4  4    13     23
5  5    14     24
6  6    15     25

[1] "The duplicate data frame is"
  ID value number
1  1    10     20
2  2    11     21
3  3    12     22
4  4    13     23
5  5    14     24
6  6    15     25

In the below example, we created a data frame and performed duplication on it by using the function data.frame.

R

name=c("rahul","rishi","raki","lokesh","suresh")
id_no=c(51,44,65,76,87)
branch=c("cse","ece","eee","it","ds")

df = data.frame(name, id_no,branch)

print("The original data frame is")
print(df)

# Duplicating dataframe 
result = data.frame(df)

print("The duplicate data frame is")
print(result)

Output:

[1] "The original data frame is"
     name    id_no     branch
1   rahul        51           cse
2   rishi        44           ece
3   raki         65          eee
4  lokesh     76            it
5  suresh     87          ds

[1] "The duplicate data frame is"
    name    id_no    branch
1   rahul       51           cse
2   rishi        44           ece
3   raki        65           eee
4  lokesh     76            it
5  suresh     87           ds

Using replicate() function to duplicate the data frame

The function replicate() is used to create number of duplicates or copies of the data frame according to the requirements. The syntax is as follows:

replicate(data frame)

In the below example, we created a data frame and performed duplication on it by using the function ‘replicate()’.

R

# creating data frame
 df <- data.frame(
  id = 5:10,
  name = c("Bravo","deepak","watson","ruthu","ambati","fab"),
  age = c(15, 20, 28, 35, 40, 45)
)
print("The original data frame is")
print(df)

# No of duplicates
num =2 

# Duplicating the data frame
res <- replicate(num, df, simplify = FALSE)
print("The duplicates of data frame are")
print(res)

Output:

[1] "The original data frame is"
    id   name    age
1    5   Bravo     15
2   6  deepak   20
3   7  watson    28
4   8  ruthu       35
5   9  ambati   40
6  10    fab        45

[1] "The duplicates of data frame are"
[[1]]
  id   name       age
1    5   Bravo      15
2   6  deepak    20
3   7  watson    28
4   8  ruthu       35
5   9  ambati    40
6  10    fab        45

[[2]]
   id   name       age
1    5   Bravo      15
2   6  deepak    20
3   7  watson    28
4   8  ruthu       35
5   9  ambati    40
6  10    fab        45

In the below example, we created a data frame and performed duplication on it by using the function ‘replicate()’.

R

a=c(31:38)
b=c(11:18)
c=c(21:28)

# creating data frame
 df <- data.frame(a,b,c)
print("The original data frame is")
print(df)

# No of duplicates
n =3

# Duplicating the data frame
result = replicate(n, df, simplify = FALSE)
print("The duplicates of data frame are")
print(result)

Output:

[1] "The original data frame is"
   a  b  c
1 31 11 21
2 32 12 22
3 33 13 23
4 34 14 24
5 35 15 25
6 36 16 26
7 37 17 27
8 38 18 28

[1] "The duplicates of data frame are"
[[1]]
   a  b  c
1 31 11 21
2 32 12 22
3 33 13 23
4 34 14 24
5 35 15 25
6 36 16 26
7 37 17 27
8 38 18 28

[[2]]
   a  b  c
1 31 11 21
2 32 12 22
3 33 13 23
4 34 14 24
5 35 15 25
6 36 16 26
7 37 17 27
8 38 18 28

[[3]]
   a  b  c
1 31 11 21
2 32 12 22
3 33 13 23
4 34 14 24
5 35 15 25
6 36 16 26
7 37 17 27
8 38 18 28

Conclusion

In Conclusion, we learned about how to duplicate the data frame by using various methods. R language offers versatile tools while dealing with duplication of data sets.