Re: [R] stringr package question
thanks that makes sense... in the previous version of R it worked for some reason. On Thu, Aug 13, 2015 at 4:33 PM, Sarah Goslee sarah.gos...@gmail.com wrote: Hi, The + is a special character in regular expressions. If you want to match a literal + you need to escape it: str_extract(+proj=utm +zone=19 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0, \\+proj=[a-zA-Z0-9]*) Sarah On Thu, Aug 13, 2015 at 2:55 PM, Mauricio Romero mauricioromerolond...@gmail.com wrote: Hi, I'm running R 3.2.1 and im having an unexpected problem... when I run the follwing code it returns an error library(stringr) str_extract(+proj=utm +zone=19 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0, +proj=[a-zA-Z0-9]*) But I can't find whats wrong with my code. Thanks Mauricio [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] stringr package question
Hi, I'm running R 3.2.1 and im having an unexpected problem... when I run the follwing code it returns an error library(stringr) str_extract(+proj=utm +zone=19 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0, +proj=[a-zA-Z0-9]*) But I can't find whats wrong with my code. Thanks Mauricio [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Bug in raster projectRaster?
Hi, I'm sorry I cant post a reproducible example, but the data sets involve are too large. I'm currently trying to create a mosaic from 2 different Landsat 7 scenes. One of them is in UTM 18 and the other in UTM 17. Before using the mosaic command, I'm doing LandsatTransform=projectRaster(from=LandsatUTM17, to=LandsatUTM18) but i get a raster that is full of NAs and the following warning message Warning message: In .rasterFromRasterFile(grdfile, band = band, objecttype, ...) : size of values file does not match the number of cells (given the data type) Not sure what to do. Any help is really appreciated. Thanks, Mauricio [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] reading a .mdf file in R
Hi, I have a very large .mdf database (36 GB) that I want to import to R. I'm using a computer with 64 GB of RAM, running on windows server 2008 R2 with SQL. Could anyone guide me through the process. I have absolutely no idea what to do. Thanks, Mauricio Romero [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] 'RQuantLib for 2.12 version
Dear R users, I have been trying to use RQuantLib in the 2.12.2 R version. I downloaded the .zip file from http://sourceforge.net/projects/quantlib/files/QuantLib/ http://sourceforge.net/projects/quantlib/files/QuantLib/ which didn't work, so I I downloaded the package source from http://sourceforge.net/projects/quantlib/files/QuantLib/1.0.1/ http://sourceforge.net/projects/quantlib/files/QuantLib/1.0.1/ Then I run: install.packages(RQuantLib_0.3.6.tar.gz, type=source, repos=NULL) and get the following error: Installing package(s) into 'C:\Users\Mauricio\Documents/R/win-library/2.12' (as 'lib' is unspecified) * installing *source* package 'RQuantLib' ... ** WARNING: this package has a configure script It probably needs manual configuration ** ** libs *** arch - i386 cygwin warning: MS-DOS style path detected: C:/PROGRA~1/R/R-212~1.2/etc/i386/Makeconf Preferred POSIX equivalent is: /cygdrive/c/PROGRA~1/R/R-212~1.2/etc/i386/Makeconf CYGWIN environment variable option nodosfilewarning turns off this warning. Consult the user's guide for more details about POSIX paths: http://cygwin.com/cygwin-ug-net/using.html#using-pathnames g++ -IC:/PROGRA~1/R/R-212~1.2/include -IC:/Users/Mauricio/Documents/R/win-library/2.12/Rcpp/include -I -I. -O2 -Wall -c asian.cpp -o asian.o asian.cpp:26:23: fatal error: rquantlib.h: No such file or directory compilation terminated. make: *** [asian.o] Error 1 ERROR: compilation failed for package 'RQuantLib' * removing 'C:/Users/Mauricio/Documents/R/win-library/2.12/RQuantLib' Warning messages: 1: running command 'C:\PROGRA~1\R\R-212~1.2/bin/i386/R CMD INSTALL -l C:\Users\Mauricio\Documents/R/win-library/2.12 RQuantLib_0.3.6.tar.gz' had status 1 2: In install.packages(RQuantLib_0.3.6.tar.gz, type = source, repos = NULL) : installation of package 'RQuantLib_0.3.6.tar.gz' had non-zero exit status Any ideas? Thanks, Mauricio Romero [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] nominal response model
Is there a way to estimate a nominal response model?
To be more specific let's say I want to calibrate:
\pi_{v}(\theta_j)=\frac{e^{\xi_{v}+\lambda_{v}\theta_j}}{\sum_{h=1}^m
e^{\xi_{h}+\lambda_{h}\theta_j}}
Where $\theta_j$ is a the dependent variable and I need to estimate
$\xi_{h}$ and $\lambda_{h}$ for $h \in {1...,m}$.
Thank you,
Mauricio Romero
Quantil S.A.S.
Cel: 3112231150
www.quantil.com.co
It is from the earth that we must find our substance; it is on the earth
that we must find solutions to the problems that promise to destroy all life
here
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] vectorizing: selecting one record per group
Hi,
I want to select a subsample from my data, choosing one record from each
group. I know how to do this with a for.
For example: lets say I have the data:
A=cbind(rnorm(100),runif(100),(rep(c(1,2,3,4,5),20)))
Where the third column is the group variable. Then what I want is to select
5 observations. Each one taken randomly from each group.
INDEX =NULL
i=1
for(index_g in unique(A[,3])){
INDEX [i]=sample(which(A[,3]==index_g),1)
i=i+1
}
SEL=A[INDEX,]
Is there a way to do this without a for? in other words is there a way to
vectorize this?
Thank you,
Mauricio Romero
Quantil S.A.S.
Bogotá,Colombia
www.quantil.com.co
It is from the earth that we must find our substance; it is on the earth
that we must find solutions to the problems that promise to destroy all life
here
[[alternative HTML version deleted]]
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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] problem with predict from nnet package
Hi,
Im having mayor issues with predict from the nnet package.
Im training a neural network for forecasting. I trained the network with
info from 1995 to 2009 and I want to forecast month by month 2010.(the
network forecasts one month at a time).
Since I have to do iterative forecasting, im using predict several times
including, including the new forecast each time, but for some reason predict
doesnt forecast after the first itereation.
Here is my code:
pronostico4=function(x,rezagosx,muestra, reps, tam, maxi,vo,net){
library(timeSeries)
library(nnet)
library(dummies)
x=as.timeSeries(x)
X=NULL
for (k in 1:length(rezagosx)) {
X=cbind(X, lag(diff(log(x)),rezagosx[k]))
}
pred=predict(net, X,type=raw)
print(sum(is.na(pred)))
pred[muestra]=diff(log(x))[muestra]
pred=exp(diffinv(pred[is.na(pred)==0],xi=log(vo)) )
muestra2=muestra
muestra2[max(which(muestra2==1))+1]=TRUE
print(length(pred))
print(sum(muestra2))
print(sum(is.na(X)))
x[muestra2]=pred[1:sum(muestra2)]
return(x)
}
muestra=(is.na(a[,Precio.Promedio.Bolsa])==0
a[,año]2009)
pred=a[,Precio.Promedio.Bolsa]
pred[muestra==F]=NA
pred=as.timeSeries(pred)
X=NULL
for (k in 1:length(rezagosx)) {
X=cbind(X, lag(diff(log(pred)),rezagosx[k]))
}
net=nnet2(diff(log(pred)),X,muestra,reps,tam,maxi)
for (i in 1:12){
pred=pronostico4(pred,rezagosx,muestra,reps,tam,maxi,vo,net)
muestra[max(which(muestra==1))+1]=TRUE
}
Mauricio Romero
Quantil S.A.
Cel: 3112231150
It is from the earth that we must find our substance; it is on the earth
that we must find solutions to the problems that promise to destroy all life
here
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
