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----
-output: github_document
-always_allow_html: yes
----
-
-
-
-```{r, echo = FALSE}
-knitr::opts_chunk$set(
- fig.path = "README-"
-)
-library(circumplex)
-library(knitr)
-library(kableExtra)
-```
-
-# circumplex 
-
-[](https://travis-ci.org/jmgirard/circumplex) [](https://codecov.io/github/jmgirard/circumplex?branch=master) [](http://www.repostatus.org/#active) [](https://www.tidyverse.org/lifecycle/#maturing)
-
-
-## Overview
-
-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](https://jmgirard.com/), and was inspired by work from and was developed in conjunction with [Johannes Zimmermann](https://psychologische-hochschule.de/prof-dr-johannes-zimmermann/) and [Aidan Wright](https://personalityprocesses.com/).
-
-## 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.
-
-## Installation
-
-You can install the development version from [GitHub](https://github.com/) with:
-
-``` r
-# install.packages("devtools")
-devtools::install_github("jmgirard/circumplex")
-```
-
-## Examples of the Structural Summary Method (SSM)
-
-### Calculate correlation-based SSM parameters for multiple measures
-```{r analysis1}
-data("jz2017")
-results <- ssm_analyze(jz2017, PA:NO, octants(), measures = c(NARPD, ASPD))
-```
-
-``` r
-ssm_table(results, xy = FALSE)
-```
-
-```{r table1, echo=FALSE}
-ssm_table(results, xy = FALSE, render = FALSE) %>%
- kable() %>%
- kable_styling()
-```
-
-
-```{r plot1}
-ssm_plot(results)
-```
-
-### Calculate correlation-based SSM parameter contrast for two measures
-```{r analysis2}
-data("jz2017")
-results <- ssm_analyze(jz2017, PA:NO, octants(), measures = c(NARPD, ASPD),
- contrast = "test")
-```
-
-``` r
-ssm_table(results, xy = FALSE)
-```
-
-```{r table2, echo=FALSE}
-ssm_table(results, xy = FALSE, render = FALSE) %>%
- kable() %>%
- kable_styling()
-```
-
-
-```{r plot2}
-ssm_plot(results, xy = FALSE)
-```
diff --git a/man/README.md b/man/README.md
deleted file mode 100644
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--- a/man/README.md
+++ /dev/null
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-
-
-circumplex
-===========================================================
-
-[](https://travis-ci.org/jmgirard/circumplex) [](https://codecov.io/github/jmgirard/circumplex?branch=master) [](http://www.repostatus.org/#active) [](https://www.tidyverse.org/lifecycle/#maturing)
-
-Overview
---------
-
-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](https://jmgirard.com/), and was inspired by work from and was developed in conjunction with [Johannes Zimmermann](https://psychologische-hochschule.de/prof-dr-johannes-zimmermann/) and [Aidan Wright](https://personalityprocesses.com/).
-
-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.
-
-Installation
-------------
-
-You can install the development version from [GitHub](https://github.com/) with:
-
-``` r
-# install.packages("devtools")
-devtools::install_github("jmgirard/circumplex")
-```
-
-Examples of the Structural Summary Method (SSM)
------------------------------------------------
-
-### Calculate correlation-based SSM parameters for multiple measures
-
-``` r
-data("jz2017")
-results <- ssm_analyze(jz2017, PA:NO, octants(), measures = c(NARPD, ASPD))
-```
-
-``` r
-ssm_table(results, xy = FALSE)
-```
-
-
-
-
-|
-Profile
- |
-
-Elevation
- |
-
-Amplitude
- |
-
-Displacement
- |
-
-Fit
- |
-
-
-
-
-|
-NARPD
- |
-
-0.20 [0.17, 0.23]
- |
-
-0.19 [0.16, 0.22]
- |
-
-109.0 [99.3, 118.4]
- |
-
-0.957
- |
-
-
-|
-ASPD
- |
-
-0.12 [0.09, 0.16]
- |
-
-0.23 [0.19, 0.27]
- |
-
-115.9 [107.4, 124.3]
- |
-
-0.964
- |
-
-
-
-
-``` r
-ssm_plot(results)
-```
-
-
-
-### Calculate correlation-based SSM parameter contrast for two measures
-
-``` r
-data("jz2017")
-results <- ssm_analyze(jz2017, PA:NO, octants(), measures = c(NARPD, ASPD),
- contrast = "test")
-```
-
-``` r
-ssm_table(results, xy = FALSE)
-```
-
-
-
-
-|
-Contrast
- |
-
-Δ Elevation
- |
-
-Δ Amplitude
- |
-
-Δ Displacement
- |
-
-Δ Fit
- |
-
-
-
-
-|
-ASPD - NARPD
- |
-
--0.08 [-0.12, -0.04]
- |
-
-0.04 [-0.00, 0.07]
- |
-
-7.0 [-3.5, 17.5]
- |
-
-0.007
- |
-
-
-
-
-``` r
-ssm_plot(results, xy = FALSE)
-```
-
-