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.
Installation
# Install release version from CRAN
install.packages("circumplex")
# Install development version from GitHub
devtools::install_github("jmgirard/circumplex")Usage
Example 1
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"),
measures_labels = c("Narcissistic PD", "Antisocial PD")
)
summary(results)
#>
#> Statistical Basis: Correlation Scores
#> Bootstrap Resamples: 2000
#> Confidence Level: 0.95
#> Listwise Deletion: TRUE
#> Scale Displacements: 90 135 180 225 270 315 360 45
#>
#>
#> # Profile [Narcissistic PD]:
#>
#> Estimate Lower CI Upper CI
#> Elevation 0.202 0.169 0.238
#> X-Value -0.062 -0.094 -0.029
#> Y-Value 0.179 0.145 0.213
#> Amplitude 0.189 0.154 0.227
#> Displacement 108.967 98.633 118.537
#> Model Fit 0.957
#>
#>
#> # Profile [Antisocial PD]:
#>
#> Estimate Lower CI Upper CI
#> Elevation 0.124 0.087 0.158
#> X-Value -0.099 -0.133 -0.064
#> Y-Value 0.203 0.170 0.239
#> Amplitude 0.226 0.191 0.264
#> Displacement 115.927 107.327 124.188
#> Model Fit 0.964
ssm_table(results, drop_xy = TRUE)| Profile | Elevation | Amplitude | Displacement | Fit |
|---|---|---|---|---|
| Narcissistic PD | 0.20 (0.17, 0.24) | 0.19 (0.15, 0.23) | 109.0 (98.6, 118.5) | 0.957 |
| Antisocial PD | 0.12 (0.09, 0.16) | 0.23 (0.19, 0.26) | 115.9 (107.3, 124.2) | 0.964 |
ssm_plot_circle(results)
ssm_plot_curve(results)
Example 2
results2 <- ssm_analyze(
data = jz2017,
scales = PANO(),
angles = octants(),
grouping = "Gender",
contrast = TRUE
)
summary(results2)
#>
#> Statistical Basis: Mean Scores
#> Bootstrap Resamples: 2000
#> Confidence Level: 0.95
#> Listwise Deletion: TRUE
#> Scale Displacements: 90 135 180 225 270 315 360 45
#>
#>
#> # Profile [Female]:
#>
#> Estimate Lower CI Upper CI
#> Elevation 0.946 0.909 0.984
#> X-Value 0.459 0.421 0.498
#> Y-Value -0.310 -0.355 -0.267
#> Amplitude 0.554 0.511 0.598
#> Displacement 325.963 322.182 330.063
#> Model Fit 0.889
#>
#>
#> # Profile [Male]:
#>
#> Estimate Lower CI Upper CI
#> Elevation 0.884 0.843 0.923
#> X-Value 0.227 0.192 0.262
#> Y-Value -0.186 -0.225 -0.148
#> Amplitude 0.294 0.257 0.329
#> Displacement 320.685 313.462 327.843
#> Model Fit 0.824
#>
#>
#> # Contrast [Male - Female]:
#>
#> Estimate Lower CI Upper CI
#> Δ Elevation -0.062 -0.118 -0.005
#> Δ X-Value -0.232 -0.283 -0.181
#> Δ Y-Value 0.124 0.067 0.183
#> Δ Amplitude -0.261 -0.318 -0.202
#> Δ Displacement -5.278 -13.353 2.755
#> Δ Model Fit -0.066
ssm_table(results2, drop_xy = TRUE)| Contrast | Elevation | Amplitude | Displacement | Fit |
|---|---|---|---|---|
| Female | 0.95 (0.91, 0.98) | 0.55 (0.51, 0.60) | 326.0 (322.2, 330.1) | 0.889 |
| Male | 0.88 (0.84, 0.92) | 0.29 (0.26, 0.33) | 320.7 (313.5, 327.8) | 0.824 |
| Male - Female | -0.06 (-0.12, -0.01) | -0.26 (-0.32, -0.20) | -5.3 (-13.4, 2.8) | -0.066 |
ssm_plot_contrast(results2)
Code of Conduct
Please note that the ‘circumplex’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
References
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.