[R] princomp
Jesús María Frías Celayeta
iosu at ensia.inra.fr
Tue Sep 21 10:44:31 CEST 1999
Hi!!
> I downloaded R-base-0.64.1-1 for Linux and for Windows and in both I cannot find princomp.
> When I type library(help=mva), princomp is not listed.
Well, princomp is not listed in the library index, but it is
installed and you can use it. That happened in 0.64.1 and it keeps on
0.65.0.
In fact if you do,
> library(mva)
> library(help=mva)
cancor Canonical Correlations
cmdscale Classical (Metric) Multidimensional Scaling
dist Distance Matrix Computation
hclust Hierarchical Clustering
kmeans K-Means Clustering
prcomp Principal Components Analysis
princomp is not listed, but if you call the princomp help page
> help(princomp)
Principal Components Analysis
princomp(x, cor = FALSE, scores = TRUE,
subset = rep(TRUE, nrow(as.matrix(x))))
print(obj,...) summary(obj) plot(obj,...) predict(obj,...)
Arguments:
....etc.
or you can work out the example
> data(USArrests)
> (pc.cr <- princomp(USArrests))
Call:
princomp(x = USArrests)
Standard deviations:
Comp.1 Comp.2 Comp.3 Comp.4
82.890847 14.069560 6.424204 2.457837
4 variables and 50 observations.
> princomp(USArrests, cor = TRUE)
Call:
princomp(x = USArrests, cor = TRUE)
Standard deviations:
Comp.1 Comp.2 Comp.3 Comp.4
1.5748783 0.9948694 0.5971291 0.4164494
4 variables and 50 observations.
> princomp(scale(USArrests, scale = TRUE, center = TRUE), cor =
FALSE)
Call:
princomp(x = scale(USArrests, scale = TRUE, center = TRUE), cor = FALSE)
Standard deviations:
Comp.1 Comp.2 Comp.3 Comp.4
1.5590500 0.9848705 0.5911277 0.4122639
4 variables and 50 observations.
This is a minor thing that i discovered sometime ago working with
the mva library, but
> Where can I find it ?
>
> Moritz
>
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Jesús María Frías Celayeta "Valeu a pena? Tudo vale a pena
ENSIA-INRA, Av. des Olimpiades, 1 se a alma não é pequena
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Mas nele é que espelhou o céu"
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