Description Usage Arguments Details Value Author(s) Examples
Agglomerative clustering of observations from a collection of multinomial variables.
1 |
Y_data |
data.frame with responses, which all should be factors |
X_data |
data.frame with possible predictors |
logit.model |
formula for logistic regression separating the observations |
ordering |
numeric used for cluster ordering |
method |
If |
verbose |
output of algorithm tracking |
To be added
Object of class multinomClust
, which is a LIST with 19 elements. Among these
Y_data |
Data frame with response data |
X_data |
Data frame with covariate data |
logit.model |
Model formula for logistic model |
category.names |
Names of variables in |
clusters.sequence |
List of list of clusters |
p.list |
Vector with p-values for agglomerative clustering |
number.clusters |
Integer with estimated number of clusters |
Bo Markussen (bomar@math.ku.dk)
1 2 3 4 5 6 7 8 9 | ## Not run:
data(SES)
SEScluster <- cluster(SES[,-(1:5)],SES[,1:5],.~GL,SES$dpi)
## End(Not run)
# Plot
data(SEScluster)
plot(SEScluster)
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