descriptives: Calculate Descriptive Statistics

In ccamp83/mu: R package for general statistical analysis of univariate and multivariate data

Calculate Descriptive Statistics

Description

Calculates comprehensive descriptive statistics for numeric columns in a dataset, including measures of central tendency, dispersion, and distribution shape.

Usage

descriptives(data)

Arguments

data	A data frame or matrix containing numeric columns to analyze

Details

The function automatically identifies and processes only numeric columns in the input dataset. All statistics are calculated excluding NA values. Results for mean, SD, median, IQR, skewness, and kurtosis are rounded for readability. Skewness and kurtosis calculations use functions from the DescTools package.

Value

A data frame where each row represents a numeric variable from the input data, and columns contain the following statistics:

• N: Number of non-missing observations

• Missing: Number of missing values

• Min: Minimum value

• Max: Maximum value

• Mean: Arithmetic mean

• SD: Standard deviation

• Median: Median value

• IQR: Interquartile range (using type 3 calculation)

• Skewness: Skewness coefficient

• Kurtosis: Kurtosis coefficient (using method 2)

Examples

# Using with iris dataset
result <- descriptives(iris)

# Using with specific numeric columns
data <- data.frame(
  age = c(25, 30, 35, NA, 40),
  score = c(85, 90, 88, 92, 95)
)
result <- descriptives(data)

ccamp83/mu documentation built on Nov. 7, 2024, 5:17 p.m.