cor_sim_seq {conversim}R Documentation

Calculate Correlation Between Similarity Measures for a Single Dyad

Description

Calculate Correlation Between Similarity Measures for a Single Dyad

Usage

cor_sim_seq(similarities, method = "pearson")

Arguments

similarities

A list of similarity measures for a single dyad

method

The correlation method to use (default is "pearson")

Details

This function calculates the correlation between different similarity measures for a single dyad.

Value

A correlation matrix

Examples

sim1 <- list(sequence = c(0.8, 0.7, 0.9), average = 0.8)
sim2 <- list(sequence = c(0.6, 0.8, 0.7), average = 0.7)
cor_sim_seq(list(sim1, sim2))
print(plot)

[Package conversim version 0.1.0 Index]