Module 8 Assignment

Input/ Output, string manipulation, and plyr package 

Analyzing Student Data in RStudio: A Step-by-Step Guide

In this tutorial, we'll walk through the process of analyzing student data in RStudio. We'll cover importing the dataset, calculating the mean grade by sex, and accessing specific columns of the dataset. Let's dive in!

Step 1: Import the Dataset

First, we need to import the dataset into RStudio. We'll use the `read.table()` function to read the dataset from a text file. Replace `<Assignment.6.Dataset>.txt` with the correct file path and name for your dataset.

```R

# Import the dataset

Student <- read.table("<Assignment.6.Dataset>.txt", header = TRUE)

```

Step 2: Calculate Mean Grade by Sex

Next, we'll calculate the mean grade for each category of sex using the `ddply()` function from the `plyr` package.

```R

# Calculate mean grade by sex

library(plyr)

StudentAverage <- ddply(Student, "Sex", summarise, Grade_Average = mean(Grade))

```

Step 3: Access Specific Columns

Finally, we'll access the "Sex" column from the dataset using the `$` operator and assign it to a new variable called "sex".

```R

# Access the 'Sex' column

sex <- Student$Sex

```