mds2D: Perform 2D multidimensional scaling
In haimbar/SEMMS: Variable selection in Generalized Linear Models - an empirical Bayes approach
Description
Usage
Arguments
References
Examples
Description
As in Diaconis et al. (2008). Returns a list named conf, with
two columns (x,y coordinates)
Usage
1
mds2D(dist1)
Arguments
dist1
a distance matrix
References
Diaconis, Persi; Goel, Sharad; Holmes, Susan. Horseshoes in multidimensional scaling and local kernel methods. Ann. Appl. Stat. 2 (2008), no. 3, 777–807.
Examples
1
## Not run: plot(mds2D(as.matrix(dist(iris[,1:4])))$conf, pch=19, cex=0.7, col=4, axes=FALSE)
haimbar/SEMMS documentation built on Dec. 20, 2021, 2:44 p.m.
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Description Usage Arguments References Examples
Description
As in Diaconis et al. (2008). Returns a list named conf, with two columns (x,y coordinates)
Usage
1 | mds2D(dist1)
|
Arguments
dist1 |
a distance matrix |
References
Diaconis, Persi; Goel, Sharad; Holmes, Susan. Horseshoes in multidimensional scaling and local kernel methods. Ann. Appl. Stat. 2 (2008), no. 3, 777–807.
Examples
1 | ## Not run: plot(mds2D(as.matrix(dist(iris[,1:4])))$conf, pch=19, cex=0.7, col=4, axes=FALSE)
|
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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