Learn R Programming

QCApro (version 1.1-1)

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.

Contributors

Dusa, Adrian
: programming

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

Run this code
# 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)

Run the code above in your browser using DataLab