Insert multiple rows in R DataFrame

08 Oct, 2021
In this article, we are going to see how to insert multiple rows in the dataframe in R Programming Language. First, let’s create a DataFrame
To create a data frame we need to use vectors. We need to create vectors with some values and pass the vectors into data.frame() function as parameter. Thus, a data frame is created. Let us see an example that demonstrates the above statement.
Example 1:
R
# here num and branches are the vectors, ans those# are passed into data.frame() as parameters .dataframe = data.frame(num=c(1:3),branches=c("IT","CSE","ECE")) # In this example we created vectors inside the# data frame() function and assigned values to vectors.print(dataframe)
 Output: 
In the above example, we have created a data frame with vectors directly as parameters. We can create data frames with already created vectors. Let us see an example.
Create a dataframe.Create a vector that contains rows to be added to the dataframe.Use the below method to add rows to the data frame.
Create a dataframe.
Create a vector that contains rows to be added to the dataframe.
Use the below method to add rows to the data frame.
Implementation :
The predefined function used to add multiple rows is rbind(). We have to pass a data frame and a vector having rows of data. So, let see the example code. 
Indexing for a dataframe in R: 
variable = df([ row,column ])
If we want to extract multiple rows we can put row numbers in a vector and pass that vector as a row or column. If we want to extract 3 rows and all columns we can put row numbers in a vector and leave the column empty. The below example demonstrates the above statement. 
Example :
 a = df1([ c(1,2,3) ,   ]) # here we left column as empty which means we want extract all columns
If we want to extract specific columns then we can put column numbers in a vector and pass as a parameter. The below example demonstrates the above statement. 
Example :
b = df1( [ c(1,2,3) , c(1,2) ]  )
This is how indexing works. Let us see rbind() function introduction and implementation for inserting multiple rows into a dataframe.
rbind() method: rbind means row bind. Joining multiple rows with dataframe. 
Syntax: rbind(a, b)
Parameters:
a = data frame
b = data to be binded with data frame
Example 1 :
R
# creating a data framedf1 = data.frame(num = c( 1 : 3),                 branch = c("IT", "CSE", "ECE")) # creating another data framedf2 = data.frame(num = c( 4 : 6),                 branch = c("EEE", "Mechanical", "civil")) # selecting 1-2 rows , all columns from df1new_row = df2[c(1, 2, 3),]# we can access data from a data frame through indexing .# since it is a 2 dimensional one we can access data# by row number and column number .# here c(1,2,3) represents row numbers and we left column# numbers as empty . then all columns are accessed .  # new_row is appended to the df1df1 = rbind(df1, new_row) #printing updated data frameprint(df1)
Output:
Example 2: Adding rows from 3 dataframe. 
R
# creating one data framedf1 = data.frame(num = c( 1 : 3 ),                 branch = c("IT", "CSE", "ECE")) # creating another data framedf2=data.frame(num = c( 4 : 6 ),               branch = c("Chemical", "Petroleum", "Food Technology")) df3=data.frame(num = c( 7 : 9 ),               branch = c("EEE", "Mechanical", "Civil")) # here we accessing 1-3 rows and all columns# from df2 and storing in new_row variablenew_row=df2[c(1, 2, 3),] # here also we are accessing 1-3 rows and all# columns and storing in new_row2 variablenew_row2=df3[c(1, 2, 3),] # passing data frame1 i.e., df1 and the new_row . df1=rbind(df1, new_row) # passing data frame1 i.e., df1 and new_row2df1=rbind(df1, new_row2) # Here values in new_row will be appended with df1 .# if we pass df2,new_row ,# the data in the nw_row will be appended with df2print(df1) # printing df1
 Output: 
 
adnanirshad158
Picked
R DataFrame-Programs
R-DataFrame
R Language
R Programs
Writing code in comment?
Please use ide.geeksforgeeks.org,
generate link and share the link here.