[R] R Tshirts, mugs etc ....
Hi All, I was just wondering if anyone has taken this up. If not, I'd like to volunteer our marketing guy to have a go at sorting this out (he's pretty good with this stuff). Any ideas for designs can be sent directly to him (he's cc'd on this email). When we get some designs and prices, we'll stick them up on a web page so that people can have a look. Btw - Know it's been said a few times already, but ... Great User Conference in Vienna - many thanks to the organizers :-) Cheers, Rich. Mango Solutions Tel +44 (0)1628 418134 Mob +44 (0)7967 808091 -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Andrew Robinson Sent: 26 May 2004 17:41 To: Dirk Eddelbuettel Cc: Achim Zeileis; [EMAIL PROTECTED]; Chad Shaw Subject: Re: [R] thanks again http://www.cafepress.com/ is one such option. I have no personal experience with it. Andrew On Wed, 26 May 2004, Dirk Eddelbuettel wrote: > On Wed, May 26, 2004 at 06:30:40PM +0200, Achim Zeileis wrote: > > As this useR! is over, I guess it's a bit too late for a useR! 2004 > > shirt. > > > > In general, I would agree with you that it would be nice (and not only > > for fun) to have shirts (and coffee mugs and basecaps and ...) with R > > logos or maybe useR! logos. This has been discussed now and then and if > > I recall it correctly the reason that nobody actually started doing it > > is that you would have to spend some time setting it up - and most > > people prefer writing R code instead of mailing R shirts around the > > world. Time was the main reason for me not do organize shirts for the > > useR! - there were so many other things to do and prepare. > > Another point which always kept me from thinking about something like > > this more seriously is the poor quality of the R logo. > > But John Fox mentioned in a discussion that instead of some R user > > doing the work, maybe there are T-shirt mailorders around which could do > > most of the work. So maybe I will have the time to look at this. > > I visited such a site a few months back, but cannot recall the name or URL. > They had e.g. numerous Debian things. If the useR png image was made > available, they could do the commercialisation. With a bit of luck, we may > find a shop that would also donate back a percentage of the proceeds the > family^H^H^H^H^H^foundation. There is probably less merit in the purely > commerical play. > > Dirk > > -- > The relationship between the computed price and reality is as yet unknown. > -- From the pac(8) manual page > > __ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > Andrew Robinson Ph: 208 885 7115 Department of Forest Resources Fa: 208 885 6226 University of Idaho E : [EMAIL PROTECTED] PO Box 441133W : http://www.uidaho.edu/~andrewr Moscow ID 83843 Or: http://www.biometrics.uidaho.edu No statement above necessarily represents my employer's opinion. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html --- Incoming mail is certified Virus Free. [[alternative HTML version deleted]] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] Simulation help
Sorry - looks like the text wrapped when I sent this ... am resending with better format, so you can read the code! # This bit does the work ... > poisNums <- rpois(10, 3) > normNums <- sapply(poisNums, rnorm, mean=3) > sumNums <- sapply(normNums, sum) # Produce a plot with quantiles ... > mySeq <- seq(0.85, 1, length=50) > plot(seq(0.85, 1, length=50)*100, quantile(sumNums, mySeq), type="l", + main="Quantiles of simulated data", xlab="Quantiles", ylab="") > abline(h=quantile(sumNums, c(0.95, 0.99)), col=2, lwd=2) Rich. Mango Solutions Tel : (01628) 418134 Mob : (07967) 808091 -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of [EMAIL PROTECTED] Sent: 22 February 2004 17:18 To: [EMAIL PROTECTED] Subject: [R] Simulation help I am a new R user. As a test, I want to write a simple code that does the following simulation: 1. Randomly generate a number from a distribution, say, Poisson. Let's say that number is 3. 2. Randomly generate 3 numbers from another distribution, say, Normal. 3. Compute the sum of the numbers generated in step 2 and read it into a vector, V. 4. Repeat steps 1 through 3 for 100,000 times. 5. Derive quantiles (e.g., 0.95th, 0.99th) of V. Any help in getting me going would be greatly appreciated. [[alternative HTML version deleted]] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html --- Incoming mail is certified Virus Free. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html --- Incoming mail is certified Virus Free. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] Simulation help
Try this ... poisNums <- rpois(10, 3) # Calculate 100,000 poissons (mean 3) normNums <- sapply(poisNums, rnorm, mean=3) # Calculate N random normals # for each simulated poisson. Normal distribution is mean 3, sd 1 sumNums <- sapply(normNums, sum) mySeq <- seq(0.85, 1, length=50) plot(seq(0.85, 1, length=50)*100, quantile(sumNums, mySeq), type="l", main="Quantiles of simulated data", xlab="Quantiles", ylab="") abline(h=quantile(sumNums, c(0.95, 0.99)), col=2, lwd=2) R does this for me in about 20 seconds ... Rich. Mango Solutions Tel : (01628) 418134 Mob : (07967) 808091 -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of [EMAIL PROTECTED] Sent: 22 February 2004 17:18 To: [EMAIL PROTECTED] Subject: [R] Simulation help I am a new R user. As a test, I want to write a simple code that does the following simulation: 1. Randomly generate a number from a distribution, say, Poisson. Let's say that number is 3. 2. Randomly generate 3 numbers from another distribution, say, Normal. 3. Compute the sum of the numbers generated in step 2 and read it into a vector, V. 4. Repeat steps 1 through 3 for 100,000 times. 5. Derive quantiles (e.g., 0.95th, 0.99th) of V. Any help in getting me going would be greatly appreciated. [[alternative HTML version deleted]] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html --- Incoming mail is certified Virus Free. __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Windows Memory Issues
Hi all, I am currently building an application based on R 1.7.1 (+ compiled C/C++ code + MySql + VB). I am building this application to work on 2 different platforms (Windows XP Professional (500mb memory) and Windows NT 4.0 with service pack 6 (1gb memory)). This is a very memory intensive application performing sophisticated operations on "large" matrices (typically 5000x1500 matrices). I have run into some issues regarding the way R handles its memory, especially on NT. In particular, R does not seem able to recollect some of the memory used following the creation and manipulation of large data objects. For example, I have a function which receives a (large) numeric matrix, matches against more data (maybe imported from MySql) and returns a large list structure for further analysis. A typical call may look like this . > myInputData <- matrix(sample(1:100, 750, T), nrow=5000) > myPortfolio <- createPortfolio(myInputData) It seems I can only repeat this code process 2/3 times before I have to restart R (to get the memory back). I use the same object names (myInputData and myPortfolio) each time, so I am not create more large objects .. I think the problems I have are illustrated with the following example from a small R session . > # Memory usage for Rui process = 19,800 > testData <- matrix(rnorm(1000), 1000) # Create big matrix > # Memory usage for Rgui process = 254,550k > rm(testData) > # Memory usage for Rgui process = 254,550k > gc() used (Mb) gc trigger (Mb) Ncells 369277 9.9 667722 17.9 Vcells 87650 0.7 24286664 185.3 > # Memory usage for Rgui process = 20,200k In the above code, R cannot recollect all memory used, so the memory usage increases from 19.8k to 20.2. However, the following example is more typical of the environments I use . > # Memory 128,100k > myTestData <- matrix(rnorm(1000), 1000) > # Memory 357,272k > rm(myTestData) > # Memory 357,272k > gc() used (Mb) gc trigger (Mb) Ncells 478197 12.8 818163 21.9 Vcells 9309525 71.1 31670210 241.7 > # Memory 279,152k Here, the memory usage increases from 128.1k to 279.1k Could anyone point out what I could do to rectify this (if anything), or generally what strategy I could take to improve this? Many thanks, Rich. Mango Solutions Tel : (01628) 418134 Mob : (07967) 808091 [[alternative HTML version deleted]] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
[R] S & R Public Training Courses in the UK
(Sorry - my poor attempts at formatting made that last email illegible! Here's a version that makes more sense ...) Mango Solutions are pleased to announce the following public courses in the UK. Course Advanced S-PLUS Programming Date29th - 31st October LocationOxford URL www.mango-solutions.com/pubadvanceds.htm Course R Programming Date11th - 13th November LocationLondon URL www.mango-solutions.com/pubrprogramming.htm Course R for S-PLUS Users Date14th November LocationLondon URL www.mango-solutions.com/pubstor.htm For more information, visit the Mango Solutions home page at www.mango-solutions.com Many thanks, Rich. Mango Solutions Independent providers of S-PLUS and R services Tel: (01628) 418134 Mob: (07967) 808091 __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
