Overview
R is a powerful statistical programming language. You can process anything from survey data to image/video data, and conduct ANOVAs, regressions, or even machine learning. Below is a list of resources I . The list below serves as a primer to foundational concepts and syntax, and I intend to grow it over time.
Books
R Cookbook – https://rc2e.com
R for Data Science – https://r4ds.had.co.nz
R Graphics Cookbook – https://r-graphics.org
Just Enough R – https://benwhalley.github.io/just-enough-r/
Websites, Blogs
https://education.rstudio.com/learn/beginner
Recommended R Packages
- Data wrangling and visualization toolkit
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install.packages("tidyverse")
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- Data wrangling made easy
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install.packages("dplyr") - https://dplyr.tidyverse.org/
- Cheatsheet: https://github.com/rstudio/cheatsheets/blob/master/data-transformation.pdf
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- GUI graph builder
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install.packages("esquisse") - Vignette: https://cran.r-project.org/web/packages/esquisse/vignettes/get-started.html
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- Work with dates, easily
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install.packages("anytime")
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- Extract time series features
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devtools::install_github("nelsonroque/tsfeaturex")
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- Perform necessary data prep steps
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devtools::install_github("nelsonroque/ruf")
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Datasets
https://github.com/nelsonroque/datasets
Last Updated: 02/17/2021