similar to: SQLiteDF SQLITE ERROR after attach

Dear R users, I would like to call R from C++ and Rcpp class library already compiled are a big advantage !! I have already read the doc/PDF in the installed package 5.0 and all the posts in this forum It's possible to get the source code (RcppExample.cpp) whitout Rtools ?? (i'm not familiar whit Rtools) many thanks in advance Roberto Iacopetti win XP sp 2.2600 Dev-C++ 4.9.9.2 R

Dear list, i have this problem: how to pair a graphic.png and a table in R2HTML ? The better showing of a mutiple analysis is sometimes to mate graphic and table Can anyone help me in this task ?? In the example below graphisc and table are subsequent and not pair.. directory=getwd() myfile<-file.path(directory,"testHTML.html")

Hi, I need to install Telai2d, a simple engineering program.During the setup.exe there is a stage where we can choose the new "folder" to add in Program Groups (in Start Menu ); i have tried both the attempt to create a new voices and to using an already existing group but the answer is the same : "impossible to create Folder X' ;at this point i cannot do other that exit setup.

Hi all, I am working with some large data sets (1-4 GB) and have some questions that I hope someone can help me with: 1. Is there a way to turn off garbage collector from within C interface ? what I am trying to do is suck data from mysql (using my own C functions) and I see that allocating each column (with about 1-4 million items) takes between 0.5 and 1 seconds. My

Good evening to everybody, I have problems to import in R a really big dataset (more than 1000000 values). Which is the best package to install? Is there someone who works with this kind of dataset and can help me, please? Thank you very much, Regards Dr.ssa Erika Frigo Department of Veterinary Sciences and Technology for Food Safety University of Milan Via Grasselli, 7 20137 Milano Tel.

Hi list members I have a vector of strings x=c("w","ex","ee") And I want to get a logical vector showing the positions where my search string "e" matches the elements partially, i.e. is at least the left-hand part of the target strings, i.e. I want to get a vector FALSE TRUE TRUE. Any ideas? Thanks Steve Powell proMENTE social research research |

How does one tell R to compile code contained in subdirs of the /src directory? I have a few files that I'd like to keep together as one unit. The cheesy way that I can think of is to put slinks in the src directory to the files contained in the subdir, but that's not really the solution I'm looking for. I was hoping to avoid adding a configure.in file to the project. By way of

Dear R cracks I am trying to fetch 38 Tables from 38 ESRI Geodatabases through an ODBC connection. I stored the 38 channels in a list and the 38 tablenames in an other list. With a for(i in 1:38) .... sqlFetch(....) I try to read the tables into a third list. But always after a certain amount of rounds (mostly 16) i get Fehler in odbcQuery(channel, query, rows_at_time) : Calloc konnte

Hello, I searched the internet but i didn't find the answer for the next problem: I want to do a glm on a csv file consisting of 25 columns and 4 mln rows. Not all the columns are relevant. My problem is to read the data into R. Manipulate the data and then do a glm. I've tried with: dd<-scan("myfile.csv",colClasses=classes) dat<-as.data.frame(dd) My question is: what

Hello Colleagues, I programmed in SAS for 3 years and would like to switch to a not so costly software product. Hence I started to evaluate R, and my first test look promising. However I have some question: 1. Is it possible to query R files by SQL internally on data frames (not on a database) and how is the syntax (I have the RODBC package installed). I would like to extract year, Quarter,

I am a SAS user currently evaluating R as a possible addition or even replacement for SAS. The difficulty I have come across straight away is R's apparent difficulty in handling relatively large data files. Whilst I would not expect it to handle datasets with millions of records, I still really need to be able to work with dataset with 100,000+ records and 100+ variables. Yet, when reading

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Hi all, Using big vectors (more than 4GB) is unfortunately not possible under Windows or other OS's if not enough RAM exists. Could it be possible to implement an a new data type in R, like a vector, but instead holding the information in memory, the data lies on an file. If data is accessed, the data type vector get the information automatically from the file. There is a package out there

R-Community, (System Details at end) I recently downloaded R 1.7.0 win95 binaries from http://cran.us.r-project.org . After installing the program with no hitch I used the the 'Install Packages from Cran' optinon in the drop down menu from Rgui. (This may be bad form, if so let me know): I selected all paackages to install and everything was fine until the 'dse' package was

Hello folks, I am very excited to have discovered R and have been exploring its capabilities. R's regression models are of great interest to me as my company is in the business of running thousands of linear regressions on large datasets. I am using biglm to run linear regressions on datasets that are as large as several GB's. I have been pleasantly surprised that biglm runs the

Dear R users, I am analysing a very large data set and I need to perform several data manipulations. The dataset is so big that the only way I can play with it without having memory problems (E.g. "cannot allocate vectors of size...") is to write a batch script to: 1. cut the data into pieces 2. save the pieces in seperate .RData files 3. Remove everything from the environment 4. load

Hello, I do some computations on datasets that come from climate models. These data are huge arrays, significantly larger than typically available RAM, so they have to be accessed row-by-row, or rather slice-by slice, depending on the task. I would like to make an R package to easily access such datasets within R. The C++ backend is ready and being used under Windows/.Net/Visual Basic, but I have

I'd like to fit linear models on very large datasets. My data frames are about 2000000 rows x 200 columns of doubles and I am using an 64 bit build of R. I've googled about this extensively and went over the "R Data Import/Export" guide. My primary issue is although my data represented in ascii form is 4Gb in size (therefore much smaller considered in binary), R consumes about

Hi there, I would like some advice, not so much about how to use R, but about software that I need to complement R. I've rooted around in the FAQ's and done a few searches on this mailing list but haven't quite found the perspective I need. I am an experienced data analyst in my field (forest ecology and ecological monitoring) but new to R. I am a long time user of SPSS and have

The problem is that R crashes with an exception "R for Windows GUI front-end has encountered a problem and needs to close..." It doesn't always crash, but almost always does. Thanks for any help (fixes, workarounds, or diagnostics) you can provide! Doug Specs: PC: HP 2710p Graphics HW: Mobile Intel 965 Express Chipset Family / Graphics Media Accelerator X3100 Graphics Driver: