statsummary: Summary Statistics

In nnguyen2496/gradinfo: Statistical summary of Williams College's graduating classes since 2001

Description

Uses data from the williams_grad dataset to compute and display appropriate summary statistics in either tabular or graphical format.

Usage

readStudentInfo(data, grad.year)

Arguments

type

The subject of analysis. Possible options are undergrad, grad, latin, department, gender. undergrad: generates summary statistics about undegraduate students grad: generates summary statistics about graduate students latin: generates summary statistics about the distribution of Latin honors at Williams department: generates summary statistics about the distribution of department honors at Williams gender: generates summary statistics about the overall gender ratio and the gender ratios of each department.

format

This argument has three values ("numeric", "timeseries", "distribution") numeric: returns a data frame containing relevant summary statistics timeseries: generates graphical summary that displays changes of the interested statistics over time. distribution: generates graphical summary that displays distribution of the interested subject.

Value

A dataframe containing summary statistics if format == "numeric"

Examples

statsummary("undergrad", "numeric") # Return a dataframe containing the numbers of undergraduate students by years
statsummary("latin", "timeseries")  # Return a bar chart displaying the percentage of students receiving Summa Cum Laude,
                                    # Magna Cum Laude, Cum Laude and no Latin honors over time.
statsummay("depertment", "distribution") # Return a bar chart showing top 5 most popular department (ranked by percentage of total students
                                           majoring in the department)

nnguyen2496/gradinfo documentation built on May 23, 2019, 9:29 p.m.