- Home
- Install & Learn R
- A.2.a What Is R and Why Learn R?
- A.2.b Learn R Programming
Below are levels for learning R Programming: Setup, Basic, Advanced and Pharmaceutical Industry. Apply Best Practices in R Programming.
R-Guru is designed to reduce the steep learning curve by applying the process below:
- What is your motivation for learning R?
- Within R-Guru, navigate from left to right and top to bottom.
- Learn R by copying and pasting simple R examples from R-Guru pages.
- First type and run basic R syntax and then copy and paste R examples.
- Apply 20/80 rule to learn most common R packages: tidyverse, dplyr, ggplot.
- Work on structured projects - Data Import, Data Management, Data Summary and Reporting.
- Build your project.
- Continue learning R.
Tasks for learning setup for R Programming: Importing Data into R Data Frames
Tasks for learning basic R Programming: Vectors > Data Frames > Data Management > Join > Summarize > View
• Create Variables as Vectors and Assign Values or read CSV, Excel, SAS file into Data Frames
• Create Data Frames from Vectors
• Data Management Operations and Functions
• Join and Append Data Frames
• Summarize and Format Data Frames
• View and Display Data Frames
Tasks for learning advanced R Programming: Tidyverse > SQL > %>%
- Tidyverse Package for Data Management
- DPRYL Package for SQL
- Combining R Commands with Piping %>%
- SASSY Package for Tables, Lists and Figures
- R Function as SAS Macros
Tasks for learning R Programming for Pharmaceutical Industry: SDTMs > ADaMs > Tables, Lists and Graphs