It is frequently required to find out basic summary statistics while analyzing data. One has to run multiple command to get a detailed summary of a numeric variable. That’s why mySummary package can help getting a complete summary by a single function.
The goal of mySummary is to provide common summary statistics for a numerical variable such as minimum, maximum, mean, median, inter-quartile range (IQR), standard deviation. In addition, it reports the missing values.
You can install the development version of mySummary from GitHub with:
# install.packages("devtools")
devtools::install_github("momenulhaque/mySummary")This is a basic example which shows you how to solve a common problem:
# load the package first
library(mySummary)
# Defining a data set
Dat <- data.frame(age = c(40, 35, 27, 52, 29, 29, 46), sex = c("M", "F", "M", "F", "F", "M", "M"))
# Finding a detailed summary of age variable
mySummary(Dat$age)
#> min Q1 mean median Q3 max IQR range sd NAs
#> 25% 27 29 36.85714 35 43 52 14 25 9.546877 0
# Finding a detailed summary of age variable for male only
mySummary(Dat[Dat$sex=="M", ]$age)
#> min Q1 mean median Q3 max IQR range sd NAs
#> 25% 27 28.5 35.5 34.5 41.5 46 13 19 9.036961 0Cite this R package:
