QCA (version 1.1-2)

findTh: 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.

Value

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

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.

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)