Learning R from Scratch Richard Treves

2] Cleaning Data: To remove a column 'col' in a dataframe 'data' using null, the command is:



data$col - NULL



How to apply hash strings (a series of unreadable text) to replace important data e.g. full names. https://cran.r-project.org/web/packages/openssl/vignettes/crypto_hashing.html



3] For Loops:



The code I discussed



For (i in 1:10){



commands to be written here in a series of lines



}



4] Vectorisation: The explanation of apply (and related commands like 'lapply') I used is here https://www.guru99.com/r-apply-sapply-tapply.html

This week I discuss a new Moodle project and how I've been using R to process and visualise students use of educational materials.



Part 1] A New Problem



What is Moodle? Note that my University doesn't use the latest version of Moodle.







Part 2] Acquiring data



How to download logs from Moodle







Part 3] General Points about R from the project



See 'Scripts' in this chapter







Part 4] Plot_ly



Examples of using Plotly with r, this free online text book teaches more about how to use Plotly

Shownotes R from Scratch Ep3



1] Packages HowTo install into RStudio 



2] Dataframes Introduction to dataframes



3] Scripts in R Introduction to scripts in RStudio



4] If statements in R Introduction to If statements in R



5] Cleaning data in R Introduction to cleaning data in R



7] Shiny 

Shownotes R from Scratch Ep2



1] Variables - What is a variable?



2] Vectors - Vectors in R Tutorial



3] Projects (.RPROJ files) Using Projects in R



5] Code versus RStudio - Writing code in RStudio



6] Sankey Diagrams in R