findTh: Find Calibration Thresholds

In QCApro: Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis

Description

This function finds calibration thresholds for splitting base variables into the desired number of groups using cluster analysis.

Usage

findTh(x, groups = 2, hclustm = "complete", distm = "euclidean")

Arguments

x	An interval or ratio-scaled base variable.
groups	A vector of integers with the desired number of groups.
hclustm	The agglomeration (clustering) method to be used.
distm	The distance measure to be used.

Details

For more details about argument groups, see ?cutree. For more details about argument hclustm, see ?hclust. For more details about argument distm, see ?dist.

Value

A numeric vector of suggested threshold(s) for dividing base variables into the desired number of groups.

Contributors

Dusa, Adrian	: programming
Thiem, Alrik	: development, documentation, testing

Note

Default values from the hclust method and the dist method are used for both the distance measure distm and the clustering method hclustm.

Author(s)

Alrik Thiem (Personal Website; ResearchGate Website)

See Also

cutree, hclust, dist

Examples

# 15 random values between 1 and 100 
x <- sample(1:100, size = 15)

# split into two groups for csQCA
findTh(x)

# split into three groups for mvQCA
findTh(x, groups = 3)

Example output

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.

[1] 28.5
[1] 28.5 83.5

QCApro documentation built on May 1, 2019, 10:09 p.m.