How to Compute Skewness & Kurtosis of Data Vector in R (2 Examples)
This page illustrates how to compute skewness and kurtosis in the R programming language.
Preparing the Examples
data(iris) # Load 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) # Load 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
install.packages("moments") # Install & load moments package library("moments") |
install.packages("moments") # Install & load moments package library("moments")
Example 1: Calculating Skewness of Data Vector
skewness(iris$Sepal.Length) # Computing skewness # [1] 0.3117531 |
skewness(iris$Sepal.Length) # Computing skewness # [1] 0.3117531
Example 2: Calculating Kurtosis of Data Vector
kurtosis(iris$Sepal.Length) # Computing kurtosis # [1] 2.426432 |
kurtosis(iris$Sepal.Length) # Computing kurtosis # [1] 2.426432