Using the csv file, write an R script that contains the following R functions:

readData <- function(fileName);

This function reads data from a csv file called fileName. A data frame that stores the contents of this file is returned.

checkStudent <- function(df, studentName);

This function extracts a particular student's grades data from a data frame and returns them.

checkAssessment <- function(df, assessmentName);

This function returns a vector/list of three statistics, min, max, and average, about the assessment whose name is given as assessmentName.

calcAssessmentEffectiveScoreRatios <- function(df, assessmentName)

This function return a vector/list of effective score ratios for the assessment whose name is given as assessmentName.

An effective score ratio for a particular student on a given assessment is the raw score divided by the point total for the assessment. For instance: if a student scored 18 out of 20 for an assessment, then the effective score ratio is 18/20.

assessmentCount <- function(df, assessmentNamePrefix);

This function returns the number of assessments whose names start with assessmentNamePrefix.

assessmentWeight <- function(df, assessmentName, assessmentTypeWeights)

This function returns the weight for an assessment whose name is given by assessmentName.

assessmentTypeWeights is a named vector that contains the weight for each type of assessments. The vector should reflect the following weights assignment:

< >

homework assignments15%;

term project phase 15%;

term project phase 23%;

term project phase 32%;

exam 110%;

exam 210%;

exam 310%;

< >

A helper function assessmentPrefix <- function(assessmentName,assessmentTypeWeights) is provided;

This function returns the prefix of the assessment whose name is given by assessmentName.

The list assessmentTypeWeights is also provided;

CalcFinalGrades <- function(df);

This function returns a vector that contains the final grades for all the students.

writeReport <- function(df,finalGradesVector,fileName).

This function adds a new column (grade) to df and then writes the updated data frame to a file whose name is given by filename.

Name your R script COS-206_FinalProject.R and submit it by the due date indicated in the Course Calendar.

For your convenience, a template of the R script is provided (see Course Documents). This template:

has comments that describe each function;

provides the skeleton for each function, you just need to fill R statements in each function body;

provides the helper function assessmentPrefix; and

provides the declaration and initialization of assessmentTypeWeights.