R resource list

1 Get started

1. Official documentations at https://cran.r-project.org/manuals.html.

2. Hands-on programming with R by Garrett Grolemund at https://rstudio-education.github.io/hopr.

3. Advanced R by Hadley Wickham at https://adv-r.hadley.nz/.

2 Tidyverse series packages

A collection of packages for data science at https://github.com/tidyverse.

Including:

• I/O of delimited data: vroom, readr.

• Giving you a modern data frame: tibble.

• Data manipulation: dplyr.

• Giving you tidy data: tidyr.

• Working with strings: stringr.

• Working with factors: forcats.

• Working with functions and vectors: purrr.

• Working with dates and date-times: lubridate.

• Working with time-of-day values: hms.

• Working with binary data: blob.

• Working with pipes: magrittr.

• Formatting your strings: glue.

• Data visualization with 2D plot: ggplot2 at https://ggplot2-book.org.

3 Bioconductor series packages

A collection of packages for bioinfomatics at https://bioconductor.org.

4 Futureverse series packages

A unifying parallelization framework at https://www.futureverse.org/.