Grade Calculation for Student

Here’s a more complex example of grade classification in R using nested conditional statements based on multiple conditions:

Suppose you are a teacher and want to classify student grades based on their performance in three subjects: Math, Science, and English. The grading criteria are as follows:

• To pass, a student must score at least 40 in each subject.
• If a student fails in any one subject, they automatically fail the entire course.
• If a student scores 90 or above in all three subjects, they receive an “A+.”
• If a student scores between 80 and 89 (inclusive) in all three subjects, they receive an “A.”
• If a student scores between 70 and 79 (inclusive) in all three subjects, they receive a “B.”
• If a student scores between 60 and 69 (inclusive) in all three subjects, they receive a “C.”
• If a student scores between 40 and 59 (inclusive) in all three subjects, they receive a “D.”
• If a student scores below 40 in any subject, they fail and receive an “F.”

Here’s how you can implement this complex grade classification in R:

Output:

Final Grade: B 

In this example, we first check if the student has passed all subjects (scores >= 40 in each). If they pass, we then use nested conditional statements to determine the final grade based on their performance in all three subjects. If they fail in any subject, they receive an “F” for the entire course. Otherwise, they receive a grade based on their overall performance.

Grade classification based on multiple conditions is a common task in data analysis, often performed using programming languages like R. This process involves assigning grades or labels to data points based on predefined criteria or conditions. In this context, we’ll explore how to classify data into different grades using R, considering various conditions.