Displaying 16 results from an estimated 16 matches for "chaparro".
2012 Oct 01
3
ffbase, help with %in%
Hello to everyone.
I'm trying to use the %in% to match to vectors in ff format.
a<-as.ff(data[,1]) %in% fire$fecha
> aff (open) logical length=3653 (3653)
[1] [2] [3] [4] [5] [6] [7] [8] [3646]
FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE : FALSE
[3647] [3648] [3649] [3650] [3651] [3652] [3653]
FALSE FALSE FALSE FALSE FALSE FALSE
2004 Apr 26
1
Problems balancing two uplink providers
...g on eth0
00:35:07.116006 217.12.112.190.2799 > 81.9.161.217.4662: . ack 4081941596 win 17139 (DF)
00:35:07.258220 217.12.112.190.2917 > 68.162.131.254.4662: . ack 1208711693 win 16265 (DF)
Please, some idea? I don''t find where is the mistake.
Thanks in advance.
Regards.
--
Diego Chaparro González.
Grupo de Sistemas y Comunicaciones.
Universidad Rey Juan Carlos.
C/ Tulipan s/n - 28933 Móstoles (Spain)
dchaparro@gsyc.escet.urjc.es
_______________________________________________
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2012 Oct 02
1
ffsave problems
Dear R friends.
After having some troubles learning how to create a ffdf object, now I find
myself having problems saving it.
this is the data i´d like to save:
str(DATA)
List of 3
$ virtual: 'data.frame': 6 obs. of 7 variables:
.. $ VirtualVmode : chr "double" "short" "integer" "integer" ...
.. $ AsIs : logi FALSE FALSE FALSE
2013 Mar 18
0
[linux-linus test] 17325: regressions - trouble: broken/fail/pass
...iscaro <marcobiscaro2112@gmail.com>
Marco Chiappero <marco@absence.it>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Dennis <marcusx.e.dennis@intel.com>
Marcus Folkesson <marcus.folkesson@gma...
2013 Mar 29
0
[linux-linus test] 17454: regressions - FAIL
...Marco Cesarano <marco@marvell.com>
Marco Chiappero <marco@absence.it>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Dennis <marcusx.e.dennis@intel.com>
Marcus Folkesson <marcus.folkesson@gma...
2013 Apr 10
0
[linux-linus test] 17612: regressions - FAIL
...ppero <marco@absence.it>
Marco Munderloh <munderl@tnt.uni-hannover.de>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Dennis <marcusx.e.dennis@intel.com>
Marcus Folkesson <marcus.folkesson@gma...
2013 May 05
0
[linux-linus test] 17901: regressions - FAIL
...ppero <marco@absence.it>
Marco Munderloh <munderl@tnt.uni-hannover.de>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Danielsson <marcus.danielsson@stericsson.com>
Marcus Dennis <marcusx.e.den...
2013 May 07
0
[linux-linus test] 17916: regressions - FAIL
...ppero <marco@absence.it>
Marco Munderloh <munderl@tnt.uni-hannover.de>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Danielsson <marcus.danielsson@stericsson.com>
Marcus Dennis <marcusx.e.den...
2013 Jun 16
0
[linux-linus test] 18150: regressions - FAIL
...ppero <marco@absence.it>
Marco Munderloh <munderl@tnt.uni-hannover.de>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Danielsson <marcus.danielsson@stericsson.com>
Marcus Dennis <marcusx.e.den...
2013 Jun 23
0
[linux-linus test] 18181: regressions - trouble: broken/fail/pass
...ppero <marco@absence.it>
Marco Munderloh <munderl@tnt.uni-hannover.de>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Danielsson <marcus.danielsson@stericsson.com>
Marcus Dennis <marcusx.e.den...
2013 Aug 29
0
[linux-linus test] 18805: regressions - FAIL
...ppero <marco@absence.it>
Marco Munderloh <munderl@tnt.uni-hannover.de>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Danielsson <marcus.danielsson@stericsson.com>
Marcus Dennis <marcusx.e.den...
2013 Aug 29
0
[linux-linus test] 18844: regressions - FAIL
...ppero <marco@absence.it>
Marco Munderloh <munderl@tnt.uni-hannover.de>
Marco Porsch <marco.porsch@etit.tu-chemnitz.de>
Marco Porsch <marco.porsch@s2005.tu-chemnitz.de>
Marco Porsch <marco@cozybit.com>
Marco Stornelli <marco.stornelli@gmail.com>
Marcos Chaparro <marcos@mrkindustries.com.ar>
Marcos Paulo de Souza <marcos.mage@gmail.com>
Marcos Paulo de Souza <marcos.souza.org@gmail.com>
Marcus Cooper <marcus.xm.cooper@stericsson.com>
Marcus Danielsson <marcus.danielsson@stericsson.com>
Marcus Dennis <marcusx.e.den...
2012 Oct 31
0
predict glm() with offset
Dear R friends.
I have a question about running a glm( family= 'binomial', *offset=T*), (I
know offset is a vector of values)
My doubt is about predicting the values on a new data. Does the predict()
function considers the offset? o should I especified something?
Here is the model I´m using:
*model<-stepAIC(glm(f_ocur~altitud+UTM_X+UTM_Y+j_sin+j_cos+temp_res+pp,
offset=(log(1/offset))
2012 Nov 05
1
Logistic Regression with Offset value
Dear R friends.
I´m trying to fit a Logistic Regression using glm( family='binomial').
Here is the model:
*model<-glm(f_ocur~altitud+UTM_X+UTM_Y+j_sin+j_cos+temp_res+pp,
offset=(log(1/off)), data=mydata, family='binomial')*
mydata has 76820 observations.
The response variable f_ocur) is a 0-1.
This data is a SAMPLE of a bigger dataset, so the idea of setting the
offset is to
2012 Sep 24
0
Deldir() Thiessen Polygons Problem
Good evening to all.
I find myself trying to create some Thiessen Polygons, in order to finish a
meteorology research.
This is the script I found to create the Polygons:
*
*
*voronoipolygons <- function(x) {*
* require(deldir)*
* if (.hasSlot(x, 'coords')) {*
* crds <- x@coords *
* } else crds <- x*
* z <- deldir(crds[,1], crds[,2])*
* w <- tile.list(z)*
* polys
2012 Nov 14
2
Jackknife in Logistic Regression
Dear R friends
I´m interested into apply a Jackknife analysis to in order to quantify the
uncertainty of my coefficients estimated by the logistic regression. I´m
using a glm(family=’binomial’) because my independent variable is in 0 - 1
format.
My dataset has 76000 obs, and I´m using 7 independent variables plus an
offset. The idea involves to split the data in let’s say 5 random subsets
and