similar to: export R data as web service

Hi r-devel, svSocket is working well. Short demo here of using it with data.table : http://www.youtube.com/watch?v=rvT8XThGA8o If you maximise and press the HD button it should be readable. There isn't any audio. However, svSocket is currently text based IPC using dump. Is there a solution which will do binary and work in the same way ? Its nice that I can make R become a server any

Hi there, In multiple regression one way to view R^2 is as (the square of) the correlation between original y's and the estimated y's. Suppose you fit a multilevel model with random intercept for each cluster. Would it be valid to compute an R^2 by using fixed effects plus the group intercepts to reduce the residuals? I suspect this has been done and, given its absence from the lmer

Dear all, I would like to use the residuals in a general linear mixed effect model to diagnose model fit. I know that the resid function has been implemented for linear mixed models but not yet for general linear mixed effects. Is there a way to get them out of lmer fit objects? I tried searching the r-help archive and found nothing. I tried and failed to replicate what (I guessed would be

I have hundreds of megabytes of price data time series, and perl scripts that extract it to tab delimited files (I have C++ programs that must analyse this data too, so I get Perl to extract it rather than have multiple connections to the DB). I can read the data into an R object without any problems. thedata = read.csv("K:\\Work\\SignalTest\\BP.csv", sep = "\t", header =

Dear all, I have been writing during last year at the European Bioinformatics Institute a general unified open source solution for R integration. This work is now available via this link: http://www.ebi.ac.uk/microarray-srv/frontendapp/ The different frameworks and tools of the biocep project are now robust enough for production use. The different APIs are finalized but the documentation is

> > > Dear All, I just posted an interview with Karim Chine of http://www.biocep.net/ who has successfully built a latform for on demand data mining enabled by the cloud through R. Here is an except BIOCEP is built on top of R and Scilab and anything that you can do within those environments is accessible through BIOCEP. Here is what you have uniquely with this new R/Scilab-based

Hi, I just installed Redhat 7.2 with samba-2.2.1a on a linux machine. I connected the linux machine to a wireless router, which is connected to a hub. I run WinXP Pro PC which is connected to the same hub. There is no problem for me to connect to the samba server from machines attached to the wireless router, ( one Mac OS X & one Win98), but I can't connect to the samba server from the

Hello all... We are trying to use the analytical power of R in a Web based environment, and are seeking the optimal ways of accomplishing the same. We need R to accept requests from clients, perform analysis on the data as required by the users and return the results ( formatted text, graphs, etc) to the web browser. We have a Windows server with an IIS, Cold fusion app server that we want to

Hi, A simple question I hope. I wish to add a single vertical line to a plot with several density plots. Here is a simplified example. ############ thedata <- data.frame(x1=rnorm(100,1,1),x2=rnorm(100,3,1)) #create data thedata.m<-melt(thedata) densityplot(~value, thedata.m, groups=variable,auto.key=list(columns=2)) #this gives the two density plots ######### what I wish now is to add a

Dear all, I have been writing during last year at the European Bioinformatics Institute a general unified open source solution for R integration. This work is now available via this link: http://www.ebi.ac.uk/microarray-srv/frontendapp/ The different frameworks and tools of the biocep project are now robust enough for production use. The different APIs are finalized but the documentation is

In one particular situation predict.coxph gives an error message. Namely: stratified data, predict='expected', new data, se=TRUE. I think I found the error but I'll leave that to you to decide. Thanks, Chris ######## CODE library(survival) set.seed(20121221) nn <- 10 # sample size in each group lambda0 <- 0.1 # event rate in group 0 lambda1 <- 0.2 # event rate in group 1

I am running R 2.7.0 on a Suse 9.1 linux cluster with a job scheduler dispatching jobs and openmpi-1.0.1. I have tried running one of the examples at http://ace.acadiau.ca/math/ACMMaC/Rmpi/examples.html in Rmpi and they seem to be working, except mpi.close.Rslaves() hangs. The slaves are closed, but the master doesn't finish its script. Below is the example script and the call to R. The job is

Hi, I'm testing the efficiency of the Rmpi package regarding parallelization using a cluster. I've found and tried the task pull programming method, but even if it is described as the best method, it seems to cause deadlock, anyone could help me in using this method? here is the code I've found and tried: # Initialize MPI library("Rmpi") # Notice we just say "give us

Hello, # Full disclosure. I am not sure if my problem is a bug(s) in the code, or a fundamental misunderstanding on my part about what I am trying to do with these statistics. I am not familiar with maximum likelihood tests. # I currently have two vectors Aequipecten<-c(0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,

I just looked at the data at the URL you posted and it looks like it consists of all the points in a rectangular grid. When you triangulate a rectangle it is arbitrary whether you use the SW-NE or the SE-NW diagonal and that looks like the only difference between the various algorithms. Bill Dunlap TIBCO Software wdunlap tibco.com On Thu, Jan 25, 2018 at 5:14 AM, Yuen, Kam <k.yuen at

Hello r-experts, I sure could us a little help. I have an ever updating text file with timestamped data in it. I can reformat in anyway I want if need be but currently I have chosen to make columns of date, time and measuresed value (comma delimeted and with the dates and times in quotes to interpret them as strings). Here is a small section of my text data file:

"The question is, what is making the results for the R packages different from each other?" There are literally thousands of R packages, contributed independently by thousands of people. There should be no expectation of consistency or for that matter, "correctness", among them. Caveat emptor. Only within the base R distribution, maintained and mostly written by the R Core

Hi, I am a newbie on samba. I use a vmware version which is slightly modified but I hope this group can still help. On the Linux machine I have set a Lexmark printer using Lexmark driver. This works fine but the way it works is that the filter does the actual connection to the printer (which uses USB port) whereas the lp directive is set to lp=/dev/null. (in case this piece of information is

The problem: I would like to translate the Octave algorithm in griddata.m to R. Within the griddata algorithm calls are made to the Delaunay function. For the R translation I have found delaunayn within the "geometry" package and also the deldir package. Both do similar things but give slightly different results depending on the input. The question is, what is making the results for the

I have a plotting function that is plots a multi-panel plot, with the x-axis as a date and various y-axes. I would like to control the frequency of the X-axis labels, ticks and grid lines. However with the following code I get no annotation on the X-axis at all. Here is a minimal data.frame Case Days Well Stream Value 1 Observed 0 P-1 Oil 1000.807785 2 Observed 31