# How to Calculate Descriptive statistics using R

In this post, I will explain how to calculate basic descriptive statistics using R. The following R scripts helps to calculate descriptive statistics such as

Packages used are

*Mean, Median, Mode, Standard deviation, Standard error of the mean, Five-number summary, quartiles, percentiles, skewness and kurtosis*.Packages used are

**psych**and**Desctools**##Descriptive statistics using R## ##Packages used psych and Desctools ##Following commands will install the packages only if they are not already installed if(!require(psych)){install.packages("psych")} if(!require(DescTools)){install.packages("DescTools")} #Load your data here data("trees") ##loads data inbuilt in dataset package of R which includes Girth, Height and Volume for Black Cherry Trees ##structure of the data frame str(trees) ##summary summary(trees) ##mean mean(trees$Height) ##median median(trees$Height) ##mode Mode(trees$Height) ##Standard deviation sd(trees$Height) ##Standard error of the mean sd(trees$Height) / sqrt(length(trees$Height)) ##Five-number summary, quartiles, percentiles summary(trees$Height) ##skewness and kurtosis describe(trees$Height,type=3) #there are 3 options available u can see in package documentation for details

You can find the script and download in Github Descriptive Statistics in R. Share and Subscribe to Sulthan’s Monologue via Email for more interesting updates.

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