Tools for analyzing and visualizing circular data,
including scoring functions for relevant instruments and a
generalization of the bootstrapped structural summary method from
Zimmermann & Wright (2017)
The goal of circumplex is to provide a powerful, flexible, and
user-friendly way to analyze and visualize circumplex data. It was
created and is maintained by Jeffrey Girard; it
was inspired by work from and was developed under advisement from
Johannes
Zimmermann
and Aidan Wright. You can learn
more about using this package through the vignette articles available on
the package website or through
?circumplex
.
# Install release version from CRANinstall.packages("circumplex")# Install development version from GitHubdevtools::install_github("jmgirard/circumplex")
data("jz2017")results <- ssm_analyze(.data = jz2017,scales = c(PA, BC, DE, FG, HI, JK, LM, NO),angles = c(90, 135, 180, 225, 270, 315, 360, 45),measures = c(NARPD, ASPD))
ssm_table(results)
Profile |
Elevation |
X-Value |
Y-Value |
Amplitude |
Displacement |
Fit |
---|---|---|---|---|---|---|
NARPD |
0.20 [0.17, 0.24] |
-0.06 [-0.09, -0.03] |
0.18 [0.15, 0.21] |
0.19 [0.16, 0.22] |
109.0 [99.2, 118.9] |
0.957 |
ASPD |
0.12 [0.09, 0.16] |
-0.10 [-0.13, -0.06] |
0.20 [0.17, 0.24] |
0.23 [0.19, 0.26] |
115.9 [107.4, 124.4] |
0.964 |
ssm_plot(results)
This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Girard, J. M., Zimmermann, J., & Wright, A. G. C. (2018). New tools for circumplex data analysis and visualization in R. Meeting of the Society for Interpersonal Theory and Research. Montreal, Canada.
Zimmermann, J., & Wright, A. G. C. (2017). Beyond description in interpersonal construct validation: Methodological advances in the circumplex Structural Summary Approach. Assessment, 24(1), 3–23.
Wright, A. G. C., Pincus, A. L., Conroy, D. E., & Hilsenroth, M. J. (2009). Integrating methods to optimize circumplex description and comparison of groups. Journal of Personality Assessment, 91(4), 311–322.