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]