@@ -8,16 +8,16 @@ output:
88
99``` {r  setup, include=FALSE}
1010knitr::opts_chunk$set(echo = TRUE) 
11+ # generate markdown for uoload to github using: 
12+ # library(rmarkdown) 
13+ # render("README.Rmd", md_document(standalone = TRUE)) 
1114``` 
1215
13- <!--  badges: start --> 
14- 
1516[ ![ ] ( https://www.r-pkg.org/badges/version/OpenRepGrid.ic?color=success )] ( https://cran.r-project.org/package=OpenRepGrid.ic ) 
1617[ ![ Codecov test
1718coverage] ( https://codecov.io/gh/markheckmann/OpenRepGrid.ic/branch/master/graph/badge.svg )] ( https://codecov.io/gh/markheckmann/OpenRepGrid.ic?branch=master ) 
1819[ ![ R-CMD-check] ( https://github.com/markheckmann/OpenRepGrid.ic/workflows/R-CMD-check/badge.svg )] ( https://github.com/markheckmann/OpenRepGrid.ic/actions ) 
1920
20- <!--  badges: end --> 
2121
2222## Introduction  
2323
@@ -28,7 +28,7 @@ is a browser-based software to perform *Interpretive Clustering* (IC) for repert
2828and generates a mix of qualitative and quantitative data. IC is a method for clustering the
2929attributes (so called constructs) resulting from a repertory grid interview by finding relational
3030patterns between them. The IC method is described in more detail in our publication
31- [[  \ @] ( https://doi.org/10.1080/14780887.2020.1794088 )]  . An introduction to the
31+ [ @burr_qualitative_2020] ( https://doi.org/10.1080/14780887.2020.1794088 ) . An introduction to the
3232software is also available on [ YouTube] ( https://youtu.be/f9oINYA22Rc ) . The package is part of the
3333[ OpenRepgrid project] ( http://openrepgrid.org/ ) , which contains several software packages for the
3434analysis of repertory grid data. In the following, we will briefly explain, why the software was
@@ -91,7 +91,7 @@ cliques) of constructs form the basis for a subsequent qualitative interpretatio
9191brief interpretation example below. The example builds on the analysis results the software
9292generates as shown next. However, for a more thorough introduction to the IC method and
9393comprehensive illustrations of interpretations, the reader is referred to our publication
94- [[  \ @] ( https://doi.org/10.1080/14780887.2020.1794088 )]  . Please note that the IC
94+ [ @burr_qualitative_2020] ( https://doi.org/10.1080/14780887.2020.1794088 ) . Please note that the IC
9595method only allows for binary grid ratings.
9696
9797## Installing and running the software  
@@ -109,8 +109,6 @@ Also, we provide a docker image under
109109how to run it locally. A video of the software is displayed in Figure 2. It shows the various tabs
110110and processes a grid dataset from an interview with * Sylvia*  which is also contained in the package.
111111
112- <!--   --> 
113- 
114112![ * Figure 2* : Software overview.] ( inst/extdata/software-animation.gif ) 
115113
116114The results of the IC analysis are not displayed interactively but are included in an MS Excel file
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