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Part II of this short course consists of 2 sections: Section 3 introduces statistical analysis in R, including t-tests, ANOVA, linear regression, nonparametric tests, and logistic regression. Section ...

Introductory, Intermediate, and Advanced R programming StatMathComp Consulting by Schwarz, Inc Carl James Schwarz Fellow of the American Statistical Association P.Stat. (Statistical Society of Canada) ...

Here are some of my suggested favorites: For online courses: Roger Peng’s courses (R programming, Advanced R programming, Reproducible research and The R Programming Environment) at coursera.org, ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier.

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.

Section 1 introduces R programming basics, including data objects, loops, and importing/exporting datasets. These concepts will be reinforced using examples of data manipulation and data cleaning.