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MSMU (version 0.1.2)

Descriptive Statistics Functions for Numeric Data

Description

Provides fundamental functions for descriptive statistics, including MODE(), estimate_mode(), center_stats(), position_stats(), pct(), spread_stats(), kurt(), skew(), and shape_stats(), which assist in summarizing the center, spread, and shape of numeric data. For more details, see McCurdy (2025), "Introduction to Data Science with R" .

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Version

Install

install.packages('MSMU')

Version

0.1.2

License

MIT + file LICENSE

Maintainer

Jon McCurdy

Last Published

July 22nd, 2025

Functions in MSMU (0.1.2)

shape_stats

Computes Sample Skew and Kurtosis
reaction_time

Reaction Data
mlb_eda

MLB data
pct

Percent Within N Standard Deviations of the Mean
position_stats

Computes Position Statics, Quintiles and Quartiles
football

Football/Quarterback data
skew

Compute Sample Skewness
heart

Heart data
soccer

Historic soccer data
mount_dorms

Mount St.Mary's dorm data
spread_stats

Summary of Spread Statistics
income_data

Income data
MODE

Find the Mode of a Numeric Vector
MSMU

MSMU: Fundamental Data Functions Package
class_demographics

Class demographics
college_data

College data
housing_data

Housing data
center_stats

Summary of Central Tendency
christmas

Christmas data
estimate_mode

Estimate Mode using Density function to find Mode of continuous data
baseball_teams

Professional baseball teams data
exam_data

Exam data
basketball

College basketball data
kurt

Compute Sample Kurtosis
ledger_data

Ledger data
course_scores

Course scores data
county_data

County data
data_210_census

Synthetic Census dataset
election_2020

2020 election data