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, and was inspired by work from and was developed in conjunction with Johannes Zimmermann and Aidan Wright. You can learn more about using this package to perform the Structural Summary Method (SSM) in vignette("ssm-introduction") and vignette("ssm-intermediate"). You can purchase stickers with the circumplex logo at redbubble.com.
Releasing updates to CRAN takes time. You can always install the newest development version, which may contain bug fixes and new features, from GitHub:
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)
)|
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 |
Please note that this project is released with a Contributor Code of Conduct. By participating in 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.