kmeans2.plot: Plotting results for k-means clustering
In Mfuzz: Soft clustering of time series gene expression data
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function visualises the clusters
produced by kmeans2.
Usage
1
kmeans2.plot(eset,kl,mfrow=c(1,1))
Arguments
eset
object of the class“ExpressionSet”.
kl
list produced by kmeans2.
mfrow
determines splitting of graphic window.
Value
The function displays the temporal profiles of clusters detected by k-means.
Author(s)
Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik)
Examples
1
2
3
4
5
6
7
8
9
10
11
if (interactive()){
data(yeast)
# Data pre-processing
yeastF <- filter.NA(yeast)
yeastF <- fill.NA(yeastF)
yeastF <- standardise(yeastF)
# K-means clustering and visualisation
kl <- kmeans2(yeastF,k=20)
kmeans2.plot(yeastF,kl=kl,mfrow=c(2,2))
}
Mfuzz documentation built on Nov. 1, 2018, 5:03 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function visualises the clusters
produced by kmeans2.
Usage
1 | kmeans2.plot(eset,kl,mfrow=c(1,1))
|
Arguments
eset |
object of the class“ExpressionSet”. |
kl |
list produced by |
mfrow |
determines splitting of graphic window. |
Value
The function displays the temporal profiles of clusters detected by k-means.
Author(s)
Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik)
Examples
1 2 3 4 5 6 7 8 9 10 11 | if (interactive()){
data(yeast)
# Data pre-processing
yeastF <- filter.NA(yeast)
yeastF <- fill.NA(yeastF)
yeastF <- standardise(yeastF)
# K-means clustering and visualisation
kl <- kmeans2(yeastF,k=20)
kmeans2.plot(yeastF,kl=kl,mfrow=c(2,2))
}
|
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.
As an Amazon Associate I earn from qualifying purchases.
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