Dear R helpers,
I am looking for an efficient way to extract (any) one of the biggest
invertible submatrix.
I have a rectangular matrix A (p x n), with rank k <= min(p, n). I would like
to get a submatrix (k x k) invertible, or even better, the list of rows and
columns of A which
would form th
t;Moderate", "Severe", "SevereSmokers")
design<-model.matrix(~0 + asthma + age + sex)
contrast.matrix<-makeContrasts(Control-Moderate, Control-Severe,
Control-SevereSmokers, levels=design)
fit<-lmFit(data, design)
fit2<-contrasts.fit(fit, contrast.matrix)
fit2
Hi,
I use packages "momocs" and "ade4" to dertermine morphometry of
woodpeckers'
cavities entrances.
I have few questions about the PCA
(non-normalized) (see image enclosed) :
1) *What do show the confidence
ellipses ?* Some papers say that ellipses
include 95 % of the data, but it
seems
With a matrix such as C I do not have any problem:
library(gmp)
C
V1 V2 V3 V4 V5 V6 V7
[1,] 1 0 0 0 1 0 0
[2,] 0 1 0 0 0 1 0
[3,] 0 0 1 0 0 0 1
[4,] 0 0 0 1 0 0 0
[5,] 0 0 0 0 1 0 0
[6,] 0 0 0 0 0 1 0
[7,] 0 0 0 0 0 0 1
solve.bigz(C)
[
n
rearranged in order
to gain computing memory. Some C code additions will be done later.
--
Bertrand Iooss
CEA Cadarache
DEN/CAD/DER/SESI/LCFR
13108 Saint Paul lez Durance
France
Laboratoire de Conduite et de Fiabilité des Réacteurs
[EMAIL PROTECTED]
Tel : (33/0)
Hello
Is there exists a package for multivariate random forest, namely for
multivariate response data ? It seems to be impossible with the
"randomForest" function and I did not find any information about this
in the help pages ...
Thank you for your help
Hello
Is there exists a package for multivariate random forest, namely for
multivariate response data ? It seems to be impossible with the
"randomForest" function and I did not find any information about this
in the help pages ...
Thank you for your help
Hello
Is there exists a package for multivariate random forest, namely for
multivariate response data ? It seems to be impossible with the
"randomForest" function and I did not find any information about this
in the help pages ...
Thank you for your help
Hi everyone,
I'm running the following command:
> step(mydata.glm,directions="both",trace=T)
which returns the model with the lowest AIC.
Now I'd like to get the list of all the models (or at least the formulas)
that were used in between.
I've noticed the "keep" option, but couldnt find any hel
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