quot;Rmpi",dependencies = TRUE,
configure.args = c(
"--with-Rmpi-include=/usr/local/openmpi/1.6.5/intel/13.1.3/include/",
"--with-Rmpi-libpath=/usr/local/openmpi/1.6.5/intel/13.1.3/lib/",
"--with-Rmpi-type=OPENMPI"
))
No special options for pbdMPI :
install.pac
Thank you, I will try contact the developper.
Antoine Migeon
Université de Bourgogne
Centre de Calcul et Messagerie
Direction des Systèmes d'Information
tel : 03 80 39 52 70
Site du CCUB : http://www.u-bourgogne.fr/dsi-ccub
Le 10/06/2013 08:19, Prof Brian Ripley a écrit :
> On 10/06/20
type = "b")if (w >
LONG) prefix <- paste0(prefix, "\n ")}else prefix
<- "Error : "msg <- paste0(prefix, conditionMessage(e), "\n")
.Internal(seterrmessage(msg[1L]))if (!silent &&
identical(getOpt
Anyone for that question?
2013/3/28 Pierre Antoine DuBoDeNa
> Hello,
>
> I want to use pearson's correlation as distance between observations and
> then use any centroid based linkage distance (ex. Ward's distance)
>
> When linkage distances are formed as
Hello,
I want to use pearson's correlation as distance between observations and
then use any centroid based linkage distance (ex. Ward's distance)
When linkage distances are formed as the Lance-Williams recursive
formulation, they just require the initial distance between observations.
See here:
Hello,
I want to compute the pearson's correlation, but even for signals that are
shifted.
For example having two signals like:
1 1 2 1 1
and
1 2 1 1 1
the correlation is very low.. but if we shift them in the right we get much
better correlation.
I know that cross-correlation is used to find
Hello,
I was wondering if there is any package with several metrics for cluster
estimation (estimating the k=2...10) (or evaluation..).
Also if instead of euclidean distance in k-means I use some other kind of
distance.. then for those evaluation metrics which takes into consideration
the distanc
Hello,
i am trying to apply k-nn classification for my time-series, however the
euclidean distance is not the best choice as the features i use are not all
normalized (others have values form 0-1 others are negative etc.) and also
it doesn't do any feature evaluation and give different weights to
> Brockwell/Davis (2002): Introduction to Time Series and Forecasting.
> Cowpertwait/Metcalfe (2009): Introductory Time Series with R.
> Cryer/Chan (2008): Time Series Analysis: With Applications in R.
>
> for some general introductions of using time series in r.
>
>
>
>
>
>
>
> Hello,
>
> I am trying to collect several global measures or statistics for
> time-series as well as packages of R that can compute them. I have found
> several of them in papers and books, but the literature is so big i am sure
> i am missing several of them.
>
> skewness
> kurtosis
> min
> ma
Hello,
I am trying to collect several global measures or statistics for
time-series as well as packages of R that can compute them. I have found
several of them in papers and books, but the literature is so big i am sure
i am missing several of them.
skewness
kurtosis
min
max
mean
SD
trend
season
NearToCode(zipCode("Paris"),7)
Regards,
Antoine Lucas.
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makes amap even more convenient for gene expression analysis,
but not only; amap provides a lot of tools for robust statistics (rank
based metrics, robust principal component analysis) with very fast
implementations.
Antoine Lucas.
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R-packages
cl[2,]
segments(-v1[1],-v1[2],v1[1],v1[2])
segments(-v2[1],-v2[2],v2[1],v2[2])
The vectors don't seem to be scaled properly and I don't see what I am doing
wrong. Any ideas?
Thanks!
Antoine
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View this message in context:
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Thanks a lot Rolf, I knew it would be possible to do it that way but I
was just curious to know if the ellipse package was offering such a
feature. Thanks again for you help!
Antoine
Le 28 sept. 11 à 09:30, Rolf Turner-3 [via R] a écrit :
> On 28/09/11 04:53, Antoine wrote:
> >
mportant that I can graphically show them.
Is there an easy way to do so?
Many thanks,
Antoine
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View this message in context:
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Sent from the R help mailing list archiv
2), ada, affy,
proxy, e1071, grid, elasticnet, SDDA, caTools, RWeka (>=
0.4-1), superpc, penalized,
sparseLDA (>= 0.1-1), spls, sda, glmnet, relaxo, lars, vbmp,
nodeHarvest, rrcov, gam,
stepPlr, GAMens (>= 1.1.1), rocc, foba, partDSA, hda, fastICA,
neuralnet,
Hi,
Thanks for this detailed bug, I have fixed it.
I upload a patch on cran (amap with version 0.8-3)
Antoine.
On Mon, 18 May 2009 14:20:21 +0200
Uwe Ligges wrote:
> After Ana Kolar sent me some code in a private mesage:
>
> I reduced that to a minimal example that crashed R - due
)
* new rank-based metric: Kendall distance, use for both matrix distance
computation, K-means, and hierachical clustering.
Best.
Antoine.
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