pearson: Pearson Correlation Function

In UAHDataScienceSF: Interactive Statistical Learning Functions

Pearson Correlation Function

Description

This function calculates the Pearson correlation coefficient between two vectors of numbers.

Usage

pearson(x = NULL, y = NULL, learn = FALSE, interactive = FALSE)

Arguments

x	Optional first numeric vector (not needed for interactive mode)
y	Optional second numeric vector (not needed for interactive mode)
learn	Logical, if TRUE shows step-by-step explanation
interactive	Logical, if TRUE enables interactive practice mode

Value

The Pearson correlation coefficient between the two vectors (for non-interactive mode)

Examples

data <- c(10,4,5,7,3,4,1)
data2 <- c(1,8,3,4,4,5,7)

# Simple calculation
pearson(data, data2)

# Learning mode
pearson(data, data2, learn = TRUE)

# Interactive mode
if(interactive()){
pearson(interactive = TRUE)
}

UAHDataScienceSF documentation built on April 3, 2025, 10:44 p.m.