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Implementation in R
In each folder you will also find a 'read.me' file containing some basic info on the packages used in respected R script file.
2. After you have set up your RStudio, you can get R scripts from the following links. They are arranged in 3 folders in our Github Repo.
After going into your desired folder, please select the associated data file in 'CSV' format. Copy the contents of the file in a notepad on your PC and save as a .csv file.

(To save as a .csv file, just add a .csv at the end of your file name)
- T-Test & U-Test
- ANOVA & Kruskal-Wallis-Test
- ANOSIM & PERMANOVA
- Clustering & Ordination
- Decision Tree
- Artificial Neural Network
3. Right-click on the file to save the link as a .R file** If there is a failure in Step 3, perform Step 4 & 5, otherwise, proceed to Step 6
4. Open a new script in RStudio

5. From the R script that we have provided, copy the whole code and paste it into the new R script that you have created.
6. Hit Run button
Programming Language R
- WHAT IS R?
WHY R? - Install R & RStudio
- Data Types & Their Modes
- Reading and Writing Data
- Data Wrangling with tidyr
User-Interface
Group Comparison of Variables within 2 Groups
Comparison of Multiple Groups
Group Comparison of Multivariate Data
Unsupervised Learning
Supervised Learning