RAnalytics Analysis in R: Create an SPSS syntax to reproduce your analysis data! Introduction to the ‘descr’ package.
Descriptive statistics is the important task of summarising data, calculating statistics and underst...
RAnalytics 
RAnalytics Analysis in R: “bluepRint” package for plotting various ggplot objects
This is an introduction to a package that allows you to easily plot multiple ggplot2 objects. It wou...
RAnalytics Analysis in R: Clipboard data in and out! The “clipr” package
This is an introduction to a package that is useful for "reading and writing" clipboard data. You ca...
RAnalytics Analysis in R: Easy to create color palettes and manipulate continuous and discrete scales “scales” package
This article introduces the scales package, which makes it easy to create color palettes, manage str...
RAnalytics Command in R: “colorRampPaletteAlpha” code that can be helpful when creating a color palette.
Here is the code for "colorRampPaletteAlpha", which can be helpful when creating a color palette. Th...
RAnalytics Analysis in R: Adding graphs to your Heat Map is easy! The “superheat” package
This package provides a heat map of the characteristics of the data. You can add a box plot or bar c...
RAnalytics Analysis in R: “magicfor” package, which is useful for managing “for” command processing
This package saves the results of each "for" command in a "list", "data.frame" or "vector". In parti...
RAnalytics Analysis in R: Expressing relationships! Creating a “circleplot” package
While heat maps and scatter plots are commonly used to express relationships, pie charts are also re...
RAnalytics Analysis in R: Want to separate groups by individual characteristics? Discriminant analysis package “PPtreeViz”
Discriminant analysis (pattern analysis) is one of the methods used to explore the characteristics o...
RAnalytics Analysis in R: Examples of commands for extracting data about vectors
This is a sample command for extracting data from vectors. This is a rudimentary introduction to the...
