Convert summary() Function Output to Data Frame in R (Example Code)
In this tutorial, I’ll demonstrate how to transform the output of the summary() function to a data frame in the R programming language.
Example Data
data(iris) # Loading example data frame 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 frame 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: Applying data.frame() & unclass() Functions to Convert Summary Statistics to Data Frame
iris_summary <- data.frame(unclass(summary(iris)), # Transforming summary stats to data frame check.names = FALSE) iris_summary # Sepal.Length Sepal.Width Petal.Length Petal.Width # X Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100 # X.1 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300 # X.2 Median :5.800 Median :3.000 Median :4.350 Median :1.300 # X.3 Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199 # X.4 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800 # X.5 Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500 # Species # X setosa :50 # X.1 versicolor:50 # X.2 virginica :50 # X.3 <NA> # X.4 <NA> # X.5 <NA> |
iris_summary <- data.frame(unclass(summary(iris)), # Transforming summary stats to data frame check.names = FALSE) iris_summary # Sepal.Length Sepal.Width Petal.Length Petal.Width # X Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100 # X.1 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300 # X.2 Median :5.800 Median :3.000 Median :4.350 Median :1.300 # X.3 Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199 # X.4 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800 # X.5 Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500 # Species # X setosa :50 # X.1 versicolor:50 # X.2 virginica :50 # X.3 <NA> # X.4 <NA> # X.5 <NA>
Further Resources
Here, you may find some further resources on topics such as data conversion and numeric values: