R Resources

List of 10
 $ name      : chr "font-awesome"
 $ version   : chr "6.2.1"
 $ src       :List of 1
  ..$ file: chr "fontawesome"
 $ meta      : NULL
 $ script    : NULL
 $ stylesheet: chr [1:2] "css/all.min.css" "css/v4-shims.min.css"
 $ head      : NULL
 $ attachment: NULL
 $ package   : chr "fontawesome"
 $ all_files : logi TRUE
 - attr(*, "class")= chr "html_dependency"

R リソース

Important R resources for biological data analysis



Biological and other data analysis skills in R require to understand the basics of the subject, learn coding and how to use RStudio. It is also recommended to take advantage of the extensive R ecosystem and use a variety of R packages to help us with the data analysis. Please see the resources below.

R & RStudio have extensive support including community and research fora, AI tools, etc. If you encounter any issues with installing R packages, have programming or analysis problems, please explore them. There are also various books and tutorials that can be used for learning R.

There are over 20,000 actively developed R packages that help performing a variety of analysis, such as data import, manipulation, visualization and more. Below is a short list of useful R package.

  • Collection of Data Science Packages
  • Data Import & Writing
    • readxl
    • readr
  • Data Manipulation (wrangling)
    • dplyr
    • tidyr
  • Data Visualization
  • Data Exploration

To learn more about the packages, type and execute the following code in your RStudio console:

# ??package_name
# example, to know more about readr
??readr