Convert an Array to a DataFrame using R

Last Updated : 24 Apr, 2025

In this article, we will see what is Tibbles in R Programming Language and different ways to create tibbles.

Tibble is a modern data frame that is similar to data frames in R Programming Language but with some enhancements to make them easier to use and more consistent. Tibble is a part of the tidyverse package in R. Using tibbles we can view and understand the data very easily especially when working with large datasets.

We have to install the tibble package to use it. the following command is used for installing.

install.packages("tibble")

Different ways to create Tibbles in R

Using tibble() function
Using tribble() function
Using as_tibble() function

Create Tibble using tibble() function

In this example we will create a new tibble from individual vectors using tibble() function. Here we are creating vectors such as Id, Name, Age, Role, Salary and passing them to tibble function, so it will convert that individual vectors into columns.

library(tibble)

# Create a sample tibble from individual vectors
my_tib <- tibble(
  Id=1:4,
  Name = c("Sandip", "Gaurav", "Ram", "Pratik"),
  Age = c(25, 29,30, 35),
  Role = c("Engineer", "Data Scientist", "Developer", "HR"),
  Salary = c(45000,60000, 80000, 100000)
)

# Print the tibble
print(my_tib)

Output:

A tibble: 4 × 5
     Id Name     Age Role           Salary
  <int> <chr>  <dbl> <chr>           <dbl>
1     1 Sandip    25 Engineer        45000
2     2 Gaurav    29 Data Scientist  60000
3     3 Ram       30 Developer       80000
4     4 Pratik    35 HR             100000

Create Tibble using tribble function

In this method we will use tribble() function to create a tibble. tribble() function is used when we have small amount of data. In tibble we can give names to columns by preceding them with tilde symbol.

In below example, we have created a tibble with four columns: first_name, last_name, age, and city.

library(tibble)

# Create a tibble using tribble
my_tib <- tribble(
  ~first_name,   ~last_name,  ~age,  ~city,
  "Saurabh",       "Puri",     24,   "pathardi",
  "Prasad",         "Bade",   22,   "Beed",
  "Manohar",     "Khedkar",  27,   "Ahmednagar"
)

# Print the tibble
print(my_tib)

A tibble: 3 × 4 first_name last_name age city <chr> <chr> <dbl> <chr> 1 Saurabh Puri 24 pathardi 2 Prasad Bade 22 Beed 3 Manohar Khedkar 27 Ahmednagar

#create tibble from existing data frame library(tibble) # Create a data frame df <- data.frame( name = c("Saurabh", "Prasad", "Manohar"), age = c(25, 30, 35), city = c("New York", "San Francisco", "Los Angeles") ) print('Data Frame:') print(df) # Convert the data frame to a tibble tib <- as_tibble(df) # Print the tibble print('Tibble:') print(tib)

[1] "Data Frame:" name age city 1 Saurabh 25 New York 2 Prasad 30 San Francisco 3 Manohar 35 Los Angeles [1] "Tibble:" A tibble: 3 × 3 name age city <chr> <dbl> <chr> 1 Saurabh 25 New York 2 Prasad 30 San Francisco 3 Manohar 35 Los Angeles

[,1] [,2] [,3] [1,] 1 5 9 [2,] 2 6 10 [3,] 3 7 11 [4,] 4 8 12 A tibble: 4 × 3 V1 V2 V3 <int> <int> <int> 1 1 5 9 2 2 6 10 3 3 7 11 4 4 8 12

Key pints	Tibbles	data frame
Printing	Show a few rows and columns at a time, easier to read	Show all rows and columns, can be confusing
Column names	Need to be simple and unique	Can be more flexible and allow for different styles
Subsetting	Always get a similar type of output	Output can vary based on how you ask for it
Packages	Present in the tidyverse ecosystem	Present in R base package

Key pints

Tibbles

data frame

Printing

Show a few rows and columns at a time, easier to read

Show all rows and columns, can be confusing

Column names

Need to be simple and unique

Can be more flexible and allow for different styles

Subsetting

Always get a similar type of output

Output can vary based on how you ask for it

Packages

Present in the tidyverse ecosystem

Present in R base package

Convert an Array to a DataFrame using R

Different ways to create Tibbles in R

Create Tibble using tibble() function

Create Tibble using tribble function

Create a tibble using as_tibble function

Creating tibble from Data frame

Creating tibble from matrix

Difference between Tibbles and data.frame

Conclusion

Similar Reads

Convert an Array to a DataFrame using R

Different ways to create Tibbles in R

Create Tibble using tibble() function

Create Tibble using tribble function

Create a tibble using as_tibble function

Creating tibble from Data frame

Creating tibble from matrix

Difference between Tibbles and data.frame

Conclusion

Similar Reads

Thank You!

What kind of Experience do you want to share?