R

• RStudio: Finding Your Way To R
• DataCamp’s Introduction to R
• R for Data Science
• Učenje R u Swirl-u
• R bloggers
• Advanced R
• CRAN Task View:Statistics for the Social Science

Popularne knjige iz statistike

• How to lie with statistics
• The Art of Statistics: Learning from Data
• How-Make-World-Add-Up

Online kolegiji

• RStudio.conf
  • GitHub repo for 2020 conference
• Data Carpentry, now The Carpentries
  • OpenRefine for Social Science Data by Data Carpentry.
  • R for Reproducible Scientific Analysis
  • Programming with Python
  • Plotting and Programming in Python
  • Version Control with Git

Blogovi i projekti

Data science blogovi

• R bloggers
• Open science in practice
• Practicing what I preach: The open Ph.D. experiment.
• Open Stats Lab. Use data published with psychology papers to teach statistics.
• The Rise of the Notebooks.
• Open science and free culture
• Collaborative Replications and Education Project (CREP).

GitHub repozitoriji

• Shiny resources
• R Markdown ioslides resources
• Websites in R Markdown

Članci

• The pipeline project
• A manifesto for reproducible science
• Scanning the horizon: towards transparent and reproducible neuroimaging research

Korisne knjige

Data science knjige

• Chang, W. (2012). R Graphics Cookbook
• Gandrud, C. (2015). Reproducible Research with R and R Studio, CRC Press.
• VanderPlas, J. (2016). Python Data Science Handbook
• Wickham, H. & Grolemund, G. (2016). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data.
• Xie, Y., Allaire, J.J., & Grolemund, G. (2019). [R Markdown: The Definitive Guide](https://bookdown.org/yihui/rmarkdown/. Chapman & Hall/CRC.

Zanimljivosti

• Popularizacija R
• Software za Data Science