search for: outnames

Saludos, estoy intentando usar la función reprojectHDF() ( http://r-gis.net/?q=ModisDownload). #### source('ModisDownload.R') library(raster) library(RCurl) path<-"~/R/MODIS/Data/Test" input<-list.files(path,"*.hdf",all.files=T,recursive=T,full.names=T) input outname<-paste(substr(input[1],40,45),".tif",sep='') outname

I have sort of an emergency question for the list. One of my professors for an S-Plus intensive class distributed a function to produce partial regression plots. I need to run it under R, because I'm doing the homework on my home computer with a modem; hence I don't have the speed required to emulate X-Windows and run S Plus off one of the campus servers. Bottom line: I'm using R.

Dear List and Hadley, I would like to have a boxplot with ggplot2 and have the outlier values labelled with their "name" attribute. So I did > library(ggplot2) > dat=data.frame(num=rep(1,20), val=c(runif(18),3,3.5), name=letters[1:20]) > p=ggplot(dat, aes(y=val, x=num))+geom_boxplot(outlier.size=4, outlier.colour="green") >

...uot; for the pointer to its contents.) PROTECT(means2 = allocVector(REALSXP, nvar)); means = REAL(means2); PROTECT(u2 = allocVector(REALSXP, nvar)); u = REAL(u2); PROTECT(loglik2 = allocVector(REALSXP, 2)); loglik = REAL(loglik2); PROTECT(rlist = mknamed(VECSXP, outnames)); Can I assign the individual elements into rlist using SET_VECTOR_ELT at this point, or do I need to wait until the end of the program, after I've filled in means[i], u[i], etc.? I likely depends on whether I'm assigning a pointer or a copy. Terry T.

This is a behaviour configurable in the MCAsmInfo. I've decided to turn it on by default in (possibly optimistic) hopes that most assemblers are reasonably sane. If this proves a problem, switching to default seems reasonable. --- include/llvm/MC/MCAsmInfo.h | 7 +++++++ lib/MC/MCAsmInfo.cpp | 1 + lib/Target/Mangler.cpp | 11 +++++++---- 3 files changed, 15 insertions(+),

Hi gang, I see that some posters today don't do full (or any?) backups of their Asterisk systems/configuration. This may (sort of) help you. Since pretty much all Linux systems have some sort of PERL installed, these two files will let you make a quick copy of any configuration or other file you might be about to change or destroy. File 1 - /usr/bin/checkout

Add an optional argument for --machine-readable to select the output, adding a new function to specifically write data to that output stream. The possible choices are: * --machine-readable: to stdout, like before * --machine-readable=file:name-of-file: to the specified file * --machine-readable=stream:stdout: explicitly to stdout * --machine-readable=stream:stderr: explicitly to stderr Adapt all

Hi all, My code looks like the following: inname = read.csv("ID_error_checker.csv", as.is=TRUE) outname = read.csv("output.csv", as.is=TRUE) #My algorithm is the following: #for line in inname #if first string up to whitespace in row in inname$name = first string up to whitespace in row + 1 in inname$name #AND ID in inname$ID for the top row NOT EQUAL ID in inname$ID for the

Nodes will use rsyslog to forward their logs to the server in /var/log/remote. --- installer/modules/ovirt/files/rsyslog.conf | 65 ++++++++++++++++++++ installer/modules/ovirt/manifests/ovirt.pp | 26 ++++++++ .../modules/ovirt/templates/ovirt-dns.conf.erb | 1 + ovirt-server.spec.in | 3 + scripts/ovirt-rsyslog-kerbsetup

I don't remember anything other that what I've written in the bug João has mentioned. Probably something like this patch http://llvm.org/bugs/show_bug.cgi?id=14410#c6 ? 2013/2/20 João Matos <ripzonetriton at gmail.com>: > I think so. There have been other reports lately related to this being > wrong. > > http://llvm.org/bugs/show_bug.cgi?id=14410 > > CC'ing

Dear all, I need to do the same procedure on several files. But I don't know how to refer to the file name. Here is an example of what I am trying to do. List of files: file1(A,B,C, D1...Dn), file2(A,B,C,E1,...,En), file3(A,B,C,F1,...,Fn) Procedure I want to apply on each file: dft <- melt(df,id=c('A','B','C')) dft$X <- substr(dft$variable,1,3) dft$Y <-

Hi, I have 35 data files for reading. I would like get a program for performing reading of 35 files at once. All are of the type: Dados1.raw, Dados2.raw and so on. If the files have the same number of columns, I can read with the following commands: rm(list=ls()) filenames = list.files(path="~/Silvano/Arq", pattern="Dados+.*raw") names = substr(filenames, 1, 7) for(i in

Hi all, Does any one know of any encryption/decryption algorithms in R? I'm not looking for anything robust - I want some way of printing output to the screen that the user can't read immediately, but can decrypt a little later. The main thing I don't want to the user to see is a number, so (e.g.) ROT13 isn't appropriate. Hadley -- Assistant Professor / Dobelman Family Junior

Hi, this is a first approach (hence RFC, since it misses tests & documentation) in selecting the output for --machine-readable. The possible choices are: * --machine-readable: to stdout, like before * --machine-readable=file:name-of-file: to the specified file * --machine-readable=stream:stdout: explicitly to stdout * --machine-readable=stream:stderr: explicitly to stderr This makes it

Add an optional argument for --machine-readable to select the output, adding a new function to specifically write data to that output stream. The possible choices are: * --machine-readable: to stdout, like before * --machine-readable=file:name-of-file: to the specified file * --machine-readable=stream:stdout: explicitly to stdout * --machine-readable=stream:stderr: explicitly to stderr Adapt all

If we pushed the baseline of OCaml up by (I think) just a single version then most of this code could be generated automatically from the description in the Types module. It would rely on the "new" (actually rather old) feature called extension points (ppx) which I think was added in 4.02. However in its own terms the idea behind this patch is fine. As I said in the previous email

I'm stumbling my way through manipulating data in multiply imputed datasets, and have run into a problem translating code I used to run on my pre-imputed dataset to multiple datasets. The imputation runs just fine, as does the reading of the mi data sets into an imputationList. I run into trouble, though, when I try to construct a scale across all the data sets. Is there a simple way to do

Allow to specify a file descriptor for the machine readable output. Use the same assumption as done in v2v, i.e. that Unix.file_descr is simply the int file descriptor. --- common/mltools/test-machine-readable.sh | 7 +++++++ common/mltools/tools_utils.ml | 11 ++++++++++- lib/guestfs.pod | 5 +++++ 3 files changed, 22 insertions(+), 1 deletion(-) diff --git

Allow to specify a file descriptor for the machine readable output. Sadly, the OCaml C glue for the channels is not public API, so enable the internals for this... --- common/mltools/tools_utils-c.c | 17 +++++++++++++++++ common/mltools/tools_utils.ml | 10 +++++++++- lib/guestfs.pod | 5 +++++ 3 files changed, 31 insertions(+), 1 deletion(-) diff --git

2013/2/21 Anton Korobeynikov <anton at korobeynikov.info>: > The patch looks incorrect. The code just needs to handle \1 properly > and clang extended to add explicit \1 to the names which does not > require mangling. I think clang already adds \01 to __stdcall names, so only the LLVM change is remaining. > I do not think that moving whole mangling to clang is a good idea, >