data_symbolic: Symbolic interval data
In clusterSim: Searching for Optimal Clustering Procedure for a Data Set
data_symbolic R Documentation
Symbolic interval data
Description
Artificially generated symbolic interval data
Format
3-dimensional array: 125 objects, 6 variables, third dimension represents begining and end of interval, 5-class structure
Source
Artificially generated data
Examples
library(clusterSim)
data(data_symbolic)
r<- HINoV.Symbolic(data_symbolic, u=5)
print(r$stopri)
plot(r$stopri[,2], xlab="Variable number", ylab="topri",
xaxt="n", type="b")
axis(1,at=c(1:max(r$stopri[,1])),labels=r$stopri[,1])
clusterSim documentation built on Sept. 30, 2024, 9:15 a.m.
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| data_symbolic | R Documentation |
Symbolic interval data
Description
Artificially generated symbolic interval data
Format
3-dimensional array: 125 objects, 6 variables, third dimension represents begining and end of interval, 5-class structure
Source
Artificially generated data
Examples
library(clusterSim)
data(data_symbolic)
r<- HINoV.Symbolic(data_symbolic, u=5)
print(r$stopri)
plot(r$stopri[,2], xlab="Variable number", ylab="topri",
xaxt="n", type="b")
axis(1,at=c(1:max(r$stopri[,1])),labels=r$stopri[,1])
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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