JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Multivariate Methods
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Cluster Variables
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The Cluster Variables Report
• Cluster Summary
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Cluster Summary
The Cluster Summary report gives the following information:
Cluster
The cluster identifier.
Number of Members
The number of variables in the cluster.
Most Representative Variable
The cluster variable that has the largest squared correlation with its cluster component.
Cluster Proportion of Variance Explained
The cluster’s proportion of variance explained by the first principal component among the variables in the cluster. If there is only one variable in the cluster, then this is 1. This statistic is based only on variables within the cluster rather than on all variables.
Total Proportion of Variation Explained
The overall proportion of variance explained by the cluster component. This is equivalent to using only the variables within each cluster to calculate the first principal component.
A note beneath the table gives the total proportion of variation explained by all the cluster components.
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Help created on 7/12/2018