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Hi Duncan, > Message: 15 > Date: Thu, 18 Jun 2009 10:58:47 +0200 > From: Duncan Sands <baldrick at free.fr> > Subject: Re: [LLVMdev] Query on optimizing away function calls. > To: LLVM Developers Mailing List <llvmdev at cs.uiuc.edu> > Message-ID: <4A3A01C7.8020707 at free.fr> > Content-Type: text/plain; charset=ISO-8859-1; format=flowed > > Hi, >

Hi, I have what I think is a fairly straightforward problem. I've looked through the FAQ's and mailing lists but have been unable to identify a solution, probably because I don't understand the language well enough. I have a set of data d, with 3 columns as shown, I want to sort the data Group, mean(Value by Label). I know that this can be done for one level, say Label, using

Hi, I'm getting some strange behaviour when trying to use the power operator (a^b) when a is large and b is less than one: big <- .Machine$double.xmax big big^0.5 sqrt(big) > big <- 1.797693134862315708384e+308 > big^0.5 [1] Inf > sqrt(big) [1] 1.340781e+154 I'm guessing that this behaviour is not expected, or am I missing something about ^? Cheers Martyn >

I am using the library(bigmemory) to handle large datasets, say 1 GB, and facing following problems. Any hints from anybody can be helpful. _Problem-1: _ I am using "read.big.matrix" function to create a filebacked big matrix of my data and get the following warning: > x = read.big.matrix("/home/utkarsh.s/data.csv",header=T,type="double",shared=T,backingfile

Hi, why does format(10000, big.mark = "\\,") not give me "10\,000"? How can I get this kind of "big.mark"? Cheers, Marius

Hi, I'm playing around with the 'bigmemory' package, and I have finally managed to create some really big matrices. However, only now I realize that there may not be functions made for what I want to do with the matrices... I would like to perform a cluster analysis based on a big.matrix. Googling around I have found indications that a certain kmeans.big.matrix() function should

Hallo List, after rebooting one of our systems one of the ext3 filesystems, that was cleanly unmounted, fsck stopped the boot process due to critical errors in that filesystem. Running fsck -y manually returned, that one of the i-nodes is "too big" an was truncated. After this about three million i-nodes were orphaned an moved to lost+found. # strings /sbin/e2fsck | grep -i

Dear R users. I have zoo object "size_june" containing market-capital values: > dim(size_june) # market-cap data of 625 firms for 20 years [1] 20 625 > class(size_june) [1] "zoo" > size_june # colnames = "size.firmcode" size.34020 size.4710 size.11050 size.10660 size.9540 size.8060 size.16160 size.8080 size.9280 1988-06-30 NA

I want to use the aggregate function to summarize data by a factor (my field plots), but I want the summary to be the majority level of another factor. For example, given the dataframe: Plot1 big Plot1 big Plot1 small Plot2 big Plot2 small Plot2 small Plot3 small Plot3 small Plot3 small My desired result would be: Plot1 big Plot2 small Plot3 small I

hi everyone something like this: [big] path = /data/big writeable = no [my.big] path = /data/big/my writeable = yes [your.big] path = /data/big/your writeable = yes is such a configuration healthy? What are possible negative implications this may cause, if any? ver. 4.4 many thanks, L

It is stated in R-exts that Sweave files (.Rnw) are either processed in /vignettes or /inst/doc, not both. Furthermore, it is stated that external manuals and other files in /inst/doc will be installed. This behaviour has been used to deal with the situation where a package has two "vignettes", one that is easily processed and one that has a long running time. This could be done by

On 2010-06-04 13:41, Sanjeev C wrote: > I get following errors: > > /home/llvm-gcc-4.2-2.7.source/host-i686-pc-linux-gnu/gcc/xgcc > -B/home/llvm-gcc-4.2-2.7.source/host-i686-pc-linux-gnu/gcc/ > -B/usr/local/armv7fl-montavista-linux-gnueabi/bin/ > -B/usr/local/armv7fl-montavista-linux-gnueabi/lib/ -isystem > /usr/local/armv7fl-montavista-linux-gnueabi/include -isystem >

Call for Papers IEEE/ACM International Symposium on Big Data Computing (BDC) 2014 December 8-11, 2014, London, UK http://www.cloudbus.org/bdc2014 In conjunction with: 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014) Sponsored by: IEEE Computer Society and ACM (Association for Computing Machinery) Introduction

Call for Papers IEEE/ACM International Symposium on Big Data Computing (BDC) 2014 December 8-11, 2014, London, UK http://www.cloudbus.org/bdc2014 In conjunction with: 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014) Sponsored by: IEEE Computer Society and ACM (Association for Computing Machinery) Introduction

Hi, I noticed a Rdata size issue that's puzzling to me. Attached find 2 example datasets in text file. Both are 100x5, so the sizes for both text file are the same. However, when I read them into R, the sizes are much different: tt<-as.matrix(read.table("tt.txt",header=T,row.names=1)) save(tt,file='tt.RData')

Hi, With reference to the mail below, I have large datasets, coming from various different sources, which I can read into filebacked big.matrix using library bigmemory. I want to merge them all into one 'big.matrix' object. (Later, I want to run regression using library 'biglm'). I am unsuccessfully trying to do this from quite some time now. Can you please

On 16/03/17 16:38, Marc Muehlfeld via samba wrote: > Hi, > > Am 15.03.2017 um 15:39 schrieb lejeczek via samba: >> something like this: >> >> [big] >> path = /data/big >> writeable = no >> >> [my.big] >> path = /data/big/my >> writeable = yes >> >> [your.big] >> path = /data/big/your >> writeable = yes >>

CALL FOR PAPERS --------------------------------------------------------------------------------------- 2nd IEEE/ACM International Symposium on Big Data Computing (BDC) 2015 http://datasys.cs.iit.edu/events/BDC2015/ --------------------------------------------------------------------------------------- December 7-10, 2015 St. Raphael Resort, Limassol, Cyprus Co-located with 8th IEEE/ACM

CALL FOR PAPERS --------------------------------------------------------------------------------------- 2nd IEEE/ACM International Symposium on Big Data Computing (BDC) 2015 http://datasys.cs.iit.edu/events/BDC2015/ --------------------------------------------------------------------------------------- December 7-10, 2015 St. Raphael Resort, Limassol, Cyprus Co-located with 8th IEEE/ACM

CALL FOR PAPERS --------------------------------------------------------------------------------------- 2nd IEEE/ACM International Symposium on Big Data Computing (BDC) 2015 http://datasys.cs.iit.edu/events/BDC2015/ --------------------------------------------------------------------------------------- December 7-10, 2015 St. Raphael Resort, Limassol, Cyprus Co-located with 8th IEEE/ACM