Get data.frame Output when Using dplyr Package in R (Example Code)
In this article you’ll learn how to get a data.frame output instead of a tibble when using the dplyr package in R.
Creation of Example Data
data(iris) # Loading example data set head(iris) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 5.1 3.5 1.4 0.2 setosa # 2 4.9 3.0 1.4 0.2 setosa # 3 4.7 3.2 1.3 0.2 setosa # 4 4.6 3.1 1.5 0.2 setosa # 5 5.0 3.6 1.4 0.2 setosa # 6 5.4 3.9 1.7 0.4 setosa |
data(iris) # Loading example data set head(iris) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 5.1 3.5 1.4 0.2 setosa # 2 4.9 3.0 1.4 0.2 setosa # 3 4.7 3.2 1.3 0.2 setosa # 4 4.6 3.1 1.5 0.2 setosa # 5 5.0 3.6 1.4 0.2 setosa # 6 5.4 3.9 1.7 0.4 setosa
Example: Returning a data.frame when Using the dplyr Package
install.packages("dplyr") # Install & load dplyr library("dplyr") |
install.packages("dplyr") # Install & load dplyr library("dplyr")
iris_df <- iris %>% # Some dplyr operations group_by(Species) %>% dplyr::summarize_at(vars(Sepal.Length), list(var = var)) %>% as.data.frame() # Using as.data.frame function to keep data.frame class iris_df # Species var # 1 setosa 0.1242490 # 2 versicolor 0.2664327 # 3 virginica 0.4043429 |
iris_df <- iris %>% # Some dplyr operations group_by(Species) %>% dplyr::summarize_at(vars(Sepal.Length), list(var = var)) %>% as.data.frame() # Using as.data.frame function to keep data.frame class iris_df # Species var # 1 setosa 0.1242490 # 2 versicolor 0.2664327 # 3 virginica 0.4043429
Related Tutorials & Further Resources
You may find some additional R programming tutorials on topics such as variables, data.table, extracting data, and matrices in the following list.