RAnalyticsAnalysis in R: Plot statistics with ggplot2! The “ggstatsplot” package
This is an introduction to a package that is useful for plotting statistics together in ggplot2. The...
statics
RAnalytics
RAnalyticsAnalysis in R: Examine all the characteristics of your data! The “tabplot” package
Introducing the "tabplot" package, which provides a graphical representation of the data in its enti...
RAnalyticsAnalysis in R: “DataEditR package for interactively editing data in RStudio
This is an introduction to a package that allows you to edit data interactively in RStudio. Note tha...
RAnalyticsAnalysis in R: Useful for expressing multivariable relationships! The “corrplot” package
This is an introduction to a package that is useful for expressing multivariable relationships. For ...
RAnalyticsAnalysis 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...
RAnalyticsAnalysis 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...
RAnalyticsAnalysis 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...
RAnalyticsAnalysis in R: “foreach” package useful for iterative processing
The "for" and "apply" commands are useful for iterative processing, but they are sometimes inflexibl...
RAnalyticsAnalysis in R: Detecting strings as numbers. The “type.convert” command
When manipulating data, the data may change from numbers to letters. A shortcut to the solution is t...
RAnalyticsAnalysis in R: Introduction to Probability Distribution Commands
This section introduces commands for the normal, binomial, chi-square, and F distributions. Command ...
