Descriptive Statistics Functions for Numeric Data
Summary of Central Tendency
Estimate Mode using Density function to find Mode of continuous data
Compute Sample Kurtosis
Find the Mode of a Numeric Vector
MSMU: Fundamental Data Functions Package
Percent Within N Standard Deviations of the Mean
Computes Position Statics, Quintiles and Quartiles
Computes Sample Skew and Kurtosis
Compute Sample Skewness
Summary of Spread Statistics
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" <https://jonmccurdy.github.io/Introduction-to-Data-Science/>.