findTh {QCApro}

Find Calibration Thresholds

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)