generate.ext: generates an artificial (NxH) external variable matrix.
In mccca: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data
View source: R/generate.ext.func.R
generate.ext R Documentation
generates an artificial (NxH) external variable matrix.
Description
Generates an artificial (NxH) external variable matrix.
Usage
generate.ext(N,extcate.vec=extcate.vec,unbala.cate=FALSE)
Arguments
N
The number of observation.
extcate.vec
A vector of length H, each element indicates the number of category for each H external variables.
unbala.cate
logical value. If TRUE, the proportion of categories in the external variable is unbalanced. The default is FALSE.
Value
An (NxH) external variable matrix.
See Also
generate.catecls
Examples
###data setting
N <- 30 ; extcate.vec=c(2,3)
ext.mat=generate.ext(N,extcate.vec=extcate.vec)
mccca documentation built on June 22, 2024, 6:58 p.m.
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View source: R/generate.ext.func.R
| generate.ext | R Documentation |
generates an artificial (NxH) external variable matrix.
Description
Generates an artificial (NxH) external variable matrix.
Usage
generate.ext(N,extcate.vec=extcate.vec,unbala.cate=FALSE)
Arguments
N |
The number of observation. |
extcate.vec |
A vector of length H, each element indicates the number of category for each H external variables. |
unbala.cate |
logical value. If TRUE, the proportion of categories in the external variable is unbalanced. The default is FALSE. |
Value
An (NxH) external variable matrix.
See Also
generate.catecls
Examples
###data setting
N <- 30 ; extcate.vec=c(2,3)
ext.mat=generate.ext(N,extcate.vec=extcate.vec)
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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