vizAFC: Correspondence Analysis visualisation (two graphs to...
In adrienPAVOINE/ClustCheck: Clustering check and interpretation
Description
Usage
Arguments
Value
Examples
View source: R/UnivariateFactor.R
Description
Correspondence Analysis visualisation
(two graphs to illustrate the cluster with a specific categorical selected variable)
Usage
1
Arguments
object
An object of class ccdata
var
A data vector of an active variable
Value
A stack barplot with cluster in abscissa and modes in stack and a CA factor map which compare the cluster class and the modes of the selected variable.
Examples
1
2
3
data(BankCustomer)
obj <- Dataset(BankCustomer, BankCustomer$Cluster)
vizAFC(obj, BankCustomer$profession)
adrienPAVOINE/ClustCheck documentation built on Dec. 31, 2020, 6:45 p.m.
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Description Usage Arguments Value Examples
View source: R/UnivariateFactor.R
Description
Correspondence Analysis visualisation (two graphs to illustrate the cluster with a specific categorical selected variable)
Usage
1 |
Arguments
object |
An object of class ccdata |
var |
A data vector of an active variable |
Value
A stack barplot with cluster in abscissa and modes in stack and a CA factor map which compare the cluster class and the modes of the selected variable.
Examples
1 2 3 | data(BankCustomer)
obj <- Dataset(BankCustomer, BankCustomer$Cluster)
vizAFC(obj, BankCustomer$profession)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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