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.
# 15 random values between 1 and 100 x <- sample(1:100, size = 15)
# split into two groups for csQCAfindTh(x)
# split into three groups for mvQCAfindTh(x, groups = 3)