1. Download all files above
2. Place the csv file containing students' response into the same directory of inputCSV.R
3. In RStudio, set the working directory by setwd("%path%"), where %path% is the path to inputCSV.R
4. Open inputCSV.R by RStudio
5. In line 4: rawdata <- read.csv("xxxxx.csv"... , substitute "xxxxx.csv" by your own csv file name
6. Run the script.

Please refer to the [wiki page] (https://github.com/clarkwkw/GEStatProj/wiki/Neural-Network-for-Grade-Prediction)

• Please install packages ggplot2, plyr, reshape2, scales, grid before calling the funtion.

(You can install it by typing install.packages("%Package Name%") in the console of RStudio.

• Please install package ggplot2 before calling the function.

For details, please refer to the [wiki page] (https://github.com/clarkwkw/GEStatProj/wiki/percentageTable.R).

Please refer to the [wiki page] (https://github.com/clarkwkw/GEStatProj/wiki/correlation-maxGroupByQuestion.R).

Please refer to the [wiki page] (https://github.com/clarkwkw/GEStatProj/wiki/Brute-Force-Search-Algorithm-for-Correlation).