Belajar Bareng R

Belajar Bareng R Programming
Membuat buku yg bisa dikonversi ke HTML, PDF, and EPUB bisa dilakukan di R dengan menggunakan R Markdown dan Bookdown [12] Contohnya adalah buku R for Data Science [13]

Referensi

  1. Introduction to Data Science, Data Analysis and Prediction Algorithms with R, https://rafalab.github.io/dsbook/
  2. R for Data Science, https://r4ds.had.co.nz/
  3. Programming with R, https://swcarpentry.github.io/r-novice-inflammation/
  4. Introduction to R at the University of Akureyri. https://gist.github.com/cddesja/74bde90acb54db3aebf8
  5. Object documentation, http://r-pkgs.had.co.nz/man.html
  6. Writing Package Documentation, https://support.rstudio.com/hc/en-us/articles/200532317-Writing-Package-Documentation
  7. Structuring R projects, https://www.r-bloggers.com/structuring-r-projects/
  8. Shiny from RStudio, https://shiny.rstudio.com/
  9. Data Management in R Combining data in R: the skill of merging, joining, and stacking, https://datascienceplus.com/combining-data-in-r-the-skill-of-merging-joining-and-stacking/
  10. 9 Challenges on Data Merging and Subsetting in R & Python (for beginners), https://www.analyticsvidhya.com/blog/2016/06/9-challenges-data-merging-subsetting-r-python-beginner/
  11. Joining Data in R with dplyr, https://rpubs.com/williamsurles/293454
  12. Finding those "Nemo's" in Data, https://brennonborbon.wordpress.com/
  13. Bookdown, https://bookdown.org/
  14. rds, https://github.com/hadley/r4ds
  15. ggplot2 extensions, https://www.ggplot2-exts.org/
  16. Text Mining with R, https://www.tidytextmining.com/
  17. Introduction to MySQL with R, https://programminghistorian.org/en/lessons/getting-started-with-mysql-using-r

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