Hi i have to table with IDs in each one.
I want to make a join (as in sql) by the ID. Is any way to use the RODBC
package (or other) in local tables (not a access, mysql, sql, etc. ) and
made the join?
Thanks in advance
__
R-help@stat.math.ethz.ch
gratefull if you could share it.
Thanks in advance
Jorge Cornejo Donoso
Biólogo Marino Mención Oceanografía y Calidad Ambiental
Centro Trapananda, Universidad Austral de Chile
Portales 73, Coyhaique, Chile
Fono: +56(67)244520 fax: +56(67)239377
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I'm using R in a winXp machine. I have problems with the size of my database
(xyz), anyone know if is possible to use some kind of swap memory, in order
to expand my real RAM and use HD space for the processes?
I'm trying to make a variogram, and I don't want to sacrifice the precision
of the
I have a Dell with 2 Intel XEON 3.0 procesors and 2GB of ram
The problem is the DB size.
-Mensaje original-
De: Gabor Grothendieck [mailto:[EMAIL PROTECTED]
Enviado el: Lunes, 09 de Abril de 2007 11:28
Para: Jorge Cornejo-Donoso
CC: r-help@stat.math.ethz.ch
Asunto: Re: [R] Reasons
I have the same question/problem.
I have a UTM plot, so the axes are in meters, and I need to represent each
point of 50*50 m. It is any way to do it?
-Mensaje original-
De: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] En nombre de Cressoni, Massimo
(NIH/NHLBI) [F]
Enviado el: Domingo, 08
Hi, I'm traing to use the GLM to find tendences on my data.
E.G.
Data.frame: MyData
Len ZoneYear
121 2002
21 1 2003
32 1 2004
32 2 2002
32 2 2003
31 2 2004
3 3 2002
4 3 2003
3 3 2004
32
Hi, I'm traing to use the GLM to find tendences on my data.
E.G.
Data.frame: MyData
Len ZoneYear
121 2002
21 1 2003
32 1 2004
32 2 2002
32 2 2003
31 2 2004
3 3 2002
4 3 2003
3 3 2004
32
This could work, but not with big matrix!
year - c(1990,1995,2000,2005)
Prod - c(2478,3192,NA,1594)
matrix - data.frame(cbind(year,Prod))
for (i in 1:dim(matrix)[1])
{
if (is.na(matrix[i,2])) {matrix[i,2] - 0}
}
__
male 18
So the idea is mean(Lenght) by sex, in order to have sex: Male
mean=XX Sex: Fema mean=YY
In this case is quite easy to do it by a loop, but I have a huge DB
so is not an option. Any suggestion?
Thanks in advance!
--
Jorge Cornejo Donoso
Universidad Austral de Chile