Implementation in R

Implementation of R Scripts

We have implemented many R scripts for this project. You can have a look on them here in folder of

1. Significance Differential Tests
2. Supervised Learning
3. Unsupervised Learning

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)

Steps for Implementation

1. Install R and RStudio

2. After you have set up your RStudio, you can get our R scripts from the following links

• 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