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conversim (version 0.1.0)

radar_sim: Create Radar Chart of Average Similarities

Description

Create a radar chart of average similarities for a single dyad

Usage

radar_sim(similarities, titles)

Value

A ggplot object

Arguments

similarities

A list of similarity measures for a single dyad

titles

A character vector of titles for each similarity measure

Details

This function creates a radar chart of average similarities for multiple measures of a single dyad.

Examples

Run this code
sim1 <- list(sequence = c(0.5, 0.6, 0.7, 0.6, 0.8), average = 0.64)
sim2 <- list(sequence = c(0.4, 0.5, 0.6, 0.7, 0.7), average = 0.58)
sim3 <- list(sequence = c(0.6, 0.7, 0.8, 0.7, 0.9), average = 0.74)
sim4 <- list(sequence = c(0.3, 0.4, 0.5, 0.6, 0.6), average = 0.48)
similarities <- list(sim1, sim2, sim3, sim4)
titles <- c("Measure 1", "Measure 2", "Measure 3", "Measure 4")

# Create radar chart
radar <- radar_sim(similarities, titles)
print(radar)

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