We are pleased to introduce the descriptr package, a set of tools for generating descriptive/summary statistics. Installation

# Install release version from CRAN
install.packages("descriptr")

# Install development version from GitHub
# install.packages("devtools")
devtools::install_github("rsquaredacademy/descriptr")

Shiny App descriptr includes a shiny app which can be launched using

ds_launch_shiny_app()

or try the live version here. Read on to learn more about the features of descriptr, or see ...

We are pleased to announce the rfm package, a set of tools for recency, frequency and monetary value analysis, designed keeping in mind beginner/intermediate R users. It can handle: transaction level data customer level data Installation

# Install release version from CRAN
install.packages("rfm")

# Install development version from GitHub
# install.packages("devtools")
devtools::install_github("rsquaredacademy/rfm")

Shiny App rfm includes a shiny app which can be launched using {{...

I am pleased to announce the olsrr package, a set of tools for improved output from linear regression models, designed keeping in mind beginner/intermediate R users. The package includes: comprehensive regression output variable selection procedures heteroskedasticiy, collinearity diagnostics and measures of influence various plots and underlying data If you ...

Introduction This is the 9th post in the series Elegant Data Visualization with ggplot2. In the previous post, we learnt how to build bar charts. In this post, we will learn to: build box plots modify box color fill alpha line size line type modify outlier color shape size alpha ...

Introduction This is the ninth post in the series Elegant Data Visualization with ggplot2. In the previous post, we learnt to build line charts. In this post, we will learn to: build simple bar plot stacked bar plot grouped bar plot proportional bar plot map aesthetics to variables specify values ...

Introduction This is the 8th post in the series Elegant Data Visualization with ggplot2. In the previous post, we learnt to build scatter plots. In this post, we will learn to: build simple line chart grouped line chart map aesthetics to variables modify line color type size Libraries, Code & Data ...