Useful Links

Creating blog using distill package:

• Programming for Psychologists : https://youtu.be/uLUqZp1kAWc

Math inside RMarkdown:

• https://rpruim.github.io/s341/S19/from-class/MathinRmd.html

Statistical Inference via Data Science:

• https://moderndive.com/index.html

Using R for Common Scientific Tasks:

• https://raw.githack.com/etmckinley/Coffey-Lab-R-Tutorial/main/R-tutorial-xaringnan.html#1

Downloading packages from Github:

• https://cran.r-project.org/web/packages/githubinstall/vignettes/githubinstall.html

Useful addins:

• pasteAsComment https://www.r-bloggers.com/2022/02/some-simple-rstudio-addins/
• datapasta https://github.com/MilesMcBain/datapasta
• Getting data from google sheets https://arbor-analytics.com/post/getting-your-data-into-r-from-google-sheets/

Machine Learning:

• https://online.stat.psu.edu/stat508/lesson/1a
• https://web.stanford.edu/~hastie/ISLRv2_website.pdf
• https://github.com/onmee/ISLR-Answers
• https://www.dataschool.io/15-hours-of-expert-machine-learning-videos/
• https://www.tidymodels.org/
• https://emilhvitfeldt.github.io/ISLR-tidymodels-labs/classification.html

R - Python Dictionary:

• https://heads0rtai1s.github.io/2020/11/05/r-python-dplyr-pandas/

Text Analysis:

• https://smltar.com/

Analytics for Food Industry:

• https://www.spssanalyticspartner.com/wp-content/uploads/2016/06/intro-to-predictive-analytics-food-innovation.pdf
• https://www.nature.com/articles/s41598-020-73978-1