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As someone who already knows how to program, I've really liked https://r4ds.had.co.nz/index.html https://r4ds.had.co.nz/index.html. It jumps right into visuali
by nsm 6y ago
As someone who already knows how to program, I've really liked https://r4ds.had.co.nz/index.html https://r4ds.had.co.nz/index.html.
It jumps right into visualization from the very beginning, which is great as a feedback mechanism, and also highlights R's strengths (ggplot2).
- vharuck 6y agoThis is definitely a great intro to the parts of R that are relevant for all types of analysis. After you get comfortable with this and want to do some domain-specific analysis, check out the R Task Views[0] on the official site. You can read brief summaries of what packages are available for different analysis tasks. Really useful, considering how many packages are on the official repository (CRAN). To see more of what a package does and how to use it, look for vignettes on the package description page. For example, the `forecast` package[1] includes a journal article. You could also look on bookdown.org, which showcases some online books made using the titular package. The are a lot of "Doing X with R" guides among them. [0] https://cran.r-project.org/web/views/ https://cran.r-project.org/web/views/ [1] https://cran.r-project.org/package=forecast https://cran.r-project.org/package=forecast