This function finds calibration thresholds for splitting base variables into the desired number of groups using cluster analysis.
findTh(x, groups = 2, hclustm = "complete", distm = "euclidean")
An interval or ratio-scaled base variable.
A vector of integers with the desired number of groups.
The agglomeration (clustering) method to be used.
The distance measure to be used.
For more details about argument
?cutree. For more
details about argument
?hclust. For more details
A numeric vector of suggested threshold(s) for dividing base variables into the desired number of groups.
|Dusa, Adrian||: programming|
|Thiem, Alrik||: development, documentation, testing|
Default values from the
hclust method and the
are used for both the distance measure
distm and the clustering method
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Please cite the 'QCApro' package as follows: Thiem, Alrik. 2016. Professional Functionality for Performing and Evaluating Qualitative Comparative Analysis. R Package Version 1.1-1. URL: http://www.alrik-thiem.net/software/. A BibTeX entry can be generated by: citation(package = "QCApro") All improvements and bug fixes on the predecessor package QCA 1.1-4 as well as all internal package changes can be browsed by: news(package = "QCApro") NOTE: As some function and object names currently overlap with the QCAGUI package, you should work with only either QCApro or QCAGUI within one R session.  28.5  28.5 83.5
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