R Programming Language

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Extension of ggplot2, ggstatsplot creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA...

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The ultimate R cheat sheet links to the documentation and cheat sheets for every major R package. It just got even better with a brand new second page containing special topics and R packages!

A Channel dedicated to R Programming - The language of Data Science. We notice people learning the language in parts, so the initial lectures are dedicated t...

ggplot2 – Easy way to mix multiple graphs on the same page

The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative | EPJ Data Science | Full Text

The ultimate R cheat sheet links to the documentation and cheat sheets for every major R package. It just got even better with a brand new second page containing special topics and R packages!

In Introduction to R, you will master the basics of this widely used open source language, including factors, lists, and data frames. Click to start for FREE! #datasciencecourse #dataanalysis #dataanalysisinr #rprogramming #rfordataanalysis #dataanalysisforbeginners #rprogrammingforbeginners | This is an affiliate link

After you successfully uploaded the data into R, I would recommend to do 5 checks before you start with analysis. In this example I’m using data-set iris which is a pre-loaded in R Dimension Check the dimensions (i.e number of rows and columns) of your dataset by using function dim(). dim(iris) 150 5 Names Identify […]

In Introduction to R, you will master the basics of this widely used open source language, including factors, lists, and data frames. Click to start for FREE! #datasciencecourse #dataanalysis #dataanalysisinr #rprogramming #rfordataanalysis #dataanalysisforbeginners #rprogrammingforbeginners | This is an affiliate link

Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular. It provides a uniform framework to build problem specific models that can be used for both statistical inference and for prediction. This course will introduce you to Bayesian data analysis. Click to start learning for FREE. #bayestheorem #bayesianinference, #bayesiandataanalysis #rprogramming #statisticalinference| This is an affiliate link| This is an affiliate link