A vector in R is a sequence of data items of the same data type. To create a vector, use the c() function. Data Frame in R is a table or two-dimensional array-like structure in which a row contains a set of values, and each column holds values of one variable. Each column in the data frame should comprise an equal number of the data components.
R Vector to data frame
To convert a vector to data frame, use the data.frame() method. The data.frame() method creates data frames, tightly coupled collections of variables. To create a data frame in R from the vector, we must first have a set of vectors containing data.
Code snippet for vector to data frame
data.frame(vectors)
Here, we need some vector data to create a data frame. Let’s go step by step.
Step 1: Define four-vectors.
To create a vector, use the c() function in R. Let’s define four-vectors.
title <- c("Breaking Bad", "Stranger Things",
"Money Heist", "Sherlock", "The Mandalorian")
year <- c(2008, 2016, 2017, 2010, 2019)
imdb <- c(9.5, 8.8, 8.4, 9.1, 8.8)
Each vector contains five components or elements.
Step 2: Create a data frame from vectors
Pass the vectors to the data.frame() function will create take title, year, and imdb as columns and elements or components as its rows.
title <- c("Breaking Bad", "Stranger Things",
"Money Heist", "Sherlock", "The Mandalorian")
year <- c(2008, 2016, 2017, 2010, 2019)
imdb <- c(9.5, 8.8, 8.4, 9.1, 8.8)
df <- data.frame(title, year, imdb)
df
Output
title year imdb
1 Breaking Bad 2008 9.5
2 Stranger Things 2016 8.8
3 Money Heist 2017 8.4
4 Sherlock 2010 9.1
5 The Mandalorian 2019 8.8
That is it. We got the tabular structured data frame with the help of vectors.
Here we have 3 vectors, The title, which is a character vector. The year is a numeric vector, and the imdb is also a numeric vector, and using them, we have created a data frame. Once a data frame is created we can apply various data frame operations.
To convert character vector to numeric vector, use the as.numeric() function.
How to get the structure of an R data frame
To get the structure of the R data frame, use the str() function.
title <- c("Breaking Bad", "Stranger Things",
"Money Heist", "Sherlock", "The Mandalorian")
year <- c(2008, 2016, 2017, 2010, 2019)
imdb <- c(9.5, 8.8, 8.4, 9.1, 8.8)
df <- data.frame(title, year, imdb)
str(df)
Output
'data.frame': 5 obs. of 3 variables:
$ title: chr "Breaking Bad" "Stranger Things" "Money Heist" "Sherlock" ...
$ year : num 2008 2016 2017 2010 2019
$ imdb : num 9.5 8.8 8.4 9.1 8.8
How to get a summary of Data in Data Frame
To get the summary of a data frame in R, use the summary() function.
title <- c("Breaking Bad", "Stranger Things",
"Money Heist", "Sherlock", "The Mandalorian")
year <- c(2008, 2016, 2017, 2010, 2019)
imdb <- c(9.5, 8.8, 8.4, 9.1, 8.8)
df <- data.frame(title, year, imdb)
summary(df)
Output
title year imdb
Length:5 Min. :2008 Min. :8.40
Class :character 1st Qu.:2010 1st Qu.:8.80
Mode :character Median :2016 Median :8.80
Mean :2014 Mean :8.92
3rd Qu.:2017 3rd Qu.:9.10
Max. :2019 Max. :9.50
Extract Data from Data Frame
To access a specific column from a data frame, use the name of the column.
title <- c("Breaking Bad", "Stranger Things",
"Money Heist", "Sherlock", "The Mandalorian")
year <- c(2008, 2016, 2017, 2010, 2019)
imdb <- c(9.5, 8.8, 8.4, 9.1, 8.8)
df <- data.frame(title, year, imdb)
new_df <- data.frame(df$title, df$imdb)
new_df
Output
df.title df.imdb
1 Breaking Bad 9.5
2 Stranger Things 8.8
3 Money Heist 8.4
4 Sherlock 9.1
5 The Mandalorian 8.8
That is it for converting a vector to the data frame in R.
See also

Krunal Lathiya is a Software Engineer with over eight years of experience. He has developed a strong foundation in computer science principles and a passion for problem-solving. In addition, Krunal has excellent knowledge of Data Science and Machine Learning, and he is an expert in R Language.