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Binding rows and columns of a Data Frame in R – bind_rows() and bind_cols() Function
  • Last Updated : 26 May, 2020

bind_rows() function in R Programming is used to combine rows of two data frames.

Syntax:
bind_rows(data1, data2, id)

Parameter:
id: dataframe identifier
data1, data2: data frame to combine

Example: Combining Rows

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# R program to illustrate
# combine rows
  
# Install dplyr package
install.packages("dplyr")  
  
# Load dplyr package                   
library("dplyr")                            
  
# Create three data frames
data1 <- data.frame(x1 = 1:5,               
                    x2 = letters[1:5])
data2 <- data.frame(x1 = 0,
                    x3 = 5:9)
data3 <- data.frame(x3 = 5:9,
                    x4 = letters[5:9])
  
# Apply bind_rows function
bind_rows(data1, data2, id = NULL)                      

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Output:



    x1   x2  x3
 1   1    a  NA
 2   2    b  NA
 3   3    c  NA
 4   4    d  NA
 5   5    e  NA
 6   0    5
 7   0    6
 8   0    7
 9   0    8
 10  0    9

Here in the above code, we created 3 data frames data1, data2, data3 with rows and columns in it and then we use bind_rows() function to combine the rows that were present in the data frame. Also where the variable name is not listed bind_rows() inserted NA value.

bind_cols()

bind_cols() function is used to combine columns of two data frames.

Syntax:
bind_cols(data1, data2, id)

Parameter:
id: dataframe identifier
data1, data2: data frame to combine

Example: Combining Columns

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# R program to illustrate
# combine rows
  
# Install dplyr package
install.packages("dplyr")  
  
# Load dplyr package                   
library("dplyr")                            
  
# Create three data frames
data1 <- data.frame(x1 = 1:5,               
                    x2 = letters[1:5])
data2 <- data.frame(x1 = 0,
                    x3 = 5:9)
data3 <- data.frame(x3 = 5:9,
                    x4 = letters[5:9])
  
# Apply bind_cols function
bind_cols(data1, data3, id = NULL)                      

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Output:

   x1 x2 x3 x4
 1  1  a  5  e
 2  2  b  6  f
 3  3  c  7  g
 4  4  d  8  h
 5  5  e  9  i 

Here in the above code we have created 3 data frames and then combine their columns by using bind_cols() function.
Here we have combined the var. x1, x2 of data1 and x3, x4 of data2 with each other.

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