Using the $operator or square bracket, we can add a column to a data frame. We can also create vector data and add it as a column to a data frame. Use the add_column function in the tibble package to add a new column or append vector to a data frame. In this tutorial, we will discuss how to add a column to a data frame in R using the$ operator and square bracket and add_column to append a column to a data frame.

## Add Column to a Data Frame in R using $operator Using the$ operator to add a new column to an existing data frame.

Let’s consider an example to demonstrate how to append a vector to a data frame.

# Create a data frame
student_info <- data.frame(
name = c("Tom","Kim","Sam","Julie","Emily","Chris"),
age = c(20,21,19,20,21,22),
gender = c('M','F','M','F','F','M')

)
# Print the data frame
student_info


In the above R code, we have created an example data frame to add a new column using the $operator. Let’s create a new column vector. marks <- c(72,77,65,80,85,87)  Using the existing data frame, append new vector marks to it using the$ operator.

# Add new column to an existing data frame
student_info$marks <- marks # Print the data frame  The output of the above R code to append a new column to the data frame in R is:  name age gender marks 1 Tom 20 M 72 2 Kim 21 F 77 3 Sam 19 M 65 4 Julie 20 F 80 5 Emily 21 F 85 6 Chris 22 M 87  ## Adding a Column to Data Frame in R using Brackets Using the square brackets ([]) with the data frame object, we can add a new column to a data frame. Let’s practice with the above student_info data frame for adding a column to a data frame. # Append a vector to data frame student_info["marks"] = marks # Prints the data frame student_info  In the above R code, we have specified marks as a new column in the data frame variable with a square bracket and assigned vector. It adds a new column to the data frame and prints the data frame as follows:  name age gender marks 1 Tom 20 M 72 2 Kim 21 F 77 3 Sam 19 M 65 4 Julie 20 F 80 5 Emily 21 F 85 6 Chris 22 M 87  ## Append New Column to a Data Frame using tidyverse package Using the tidyverse package and tibble, it can append a new column to a data frame. Let’s consider the above student_info data frame to add a new column to an existing data frame using the add_column function. # import tidyverse library library(tidyverse) # use pipe operator and add_column to create new column in data frame data <- student_info %>% add_column(total_marks = marks) # print the data frame data  In the above R code to create a new column in a data frame, we first import the tidyverse package and added a new column using tibble. The output of the new column in a data frame is:  name age gender total_marks 1 Tom 20 M 72 2 Kim 21 F 77 3 Sam 19 M 65 4 Julie 20 F 80 5 Emily 21 F 85 6 Chris 22 M 87  ## Add New Column to Data Frame after the Column Using the add_column function() in the tibble package, it can add a new column to the existing data frame at a specific position. Let’s practice with the above student_info data frame to append a new column after a specific column in the existing data frame. # Append new column to data frame after specific column student_data <- student_info %>% add_column(total_marks = marks,.after = "age") # Print the data frame student_data  In the above R code, using the add_column function in R, it added the total_marks column to an existing data frame after the age column. The output of the above R code is:  name age total_marks gender 1 Tom 20 72 M 2 Kim 21 77 F 3 Sam 19 65 M 4 Julie 20 80 F 5 Emily 21 85 F 6 Chris 22 87 M  ## Conclusion I hope the above article about how to add a new column to the data frame in R is helpful to you. Using the$ operator or square bracket ([]), you can append a new column to a data frame.

You can use the add_column function of the tibble package in tidyverse to add a new column to an existing data frame. It can also add a new column to a specific position in an existing data frame.