search for: 4k1

...-------- | Angelo J. Canty Email: cantya at mcmaster.ca | | Mathematics and Statistics Phone: (905) 525-9140 x 27079 | | McMaster University Fax : (905) 522-0935 | | 1280 Main St. W. | | Hamilton ON L8S 4K1 |

...-------- | Angelo J. Canty Email: cantya at mcmaster.ca | | Mathematics and Statistics Phone: (905) 525-9140 x 27079 | | McMaster University Fax : (905) 522-0935 | | 1280 Main St. W. | | Hamilton ON L8S 4K1 |

...-------- | Angelo J. Canty Email: cantya at mcmaster.ca | | Mathematics and Statistics Phone: (905) 525-9140 x 27079 | | McMaster University Fax : (905) 522-0935 | | 1280 Main St. W. | | Hamilton ON L8S 4K1 |

...nce, Tom __________________________________________________________________________________________ Tom Rzeszutek MSc. Candidate rzeszut@mcmaster.ca The NeuroArts Lab (neuroarts.org) McMaster University Department of Psychology, Neuroscience and Behaviour 1280 Main St. W Hamilton, ON, Canada L8S 4K1 http://r.789695.n4.nabble.com/file/n2330000/withinSS.png http://r.789695.n4.nabble.com/file/n2330000/MDS.png -- View this message in context: http://r.789695.n4.nabble.com/Plotting-K-means-clustering-results-on-an-MDS-tp2330000p2330000.html Sent from the R help mailing list archive at Nabble...

...-------- | Angelo J. Canty Email: cantya at mcmaster.ca | | Mathematics and Statistics Phone: (905) 525-9140 x 27079 | | McMaster University Fax : (905) 522-0935 | | 1280 Main St. W. | | Hamilton ON L8S 4K1 |

...-------- | Angelo J. Canty Email: cantya at mcmaster.ca | | Mathematics and Statistics Phone: (905) 525-9140 x 27079 | | McMaster University Fax : (905) 522-0935 | | 1280 Main St. W. | | Hamilton ON L8S 4K1 |

...(ppi=c(.5,.5,.5),mmu=c(5,10,15)) > dput(mydataframe3,"mydataframe3.txt") > dget("mydataframe3.txt") ppi mmu 1 0.5 5 2 0.5 10 3 0.5 15 -- Peter D.M. Macdonald, D.Phil., P.Stat. Professor of Math & Statistics McMaster University Hamilton, Ontario, Canada L8S 4K1

Dear All, Anyone has some idea how to implement 632 estimator and leave-one out bootstraping method by using boot package. I know the bootstrap package has this function, but it sounds not very flexible for my project. Thanks, Jim

Hello, This is the code that is giving me problems >library(boot) >data<-read.table("test",header=FALSE,sep="\t",row.names=1) >data V2 V3 V4 A 5 8 9 B 12 54 89 C 65 89 23 D 32 69 44 E 21 84 97 F 33 59 71 G 16 45 93 H 2 46 55 I 22 33 88 >resample <- function(x,index) { sample(data,replace=TRUE) } dist<-boot(data,resample,R=1000)

Hello, I am trying to carry out a bootstrap analysis (using the boot package) on a table and cannot work out how to get the results I need! I have a table ("d2") with 4 columns: "ID_code", "Age", "Quarter" and "StomWt". Age (0-5) and Quarter (1-4) are my strata Therefore I wish to estimate the confidence intervals for the mean StomWt for each Age

...Sorry for bothering the list with what is probably a trivial question, but I've run out of ideas... Any help would be appreciated. Cheers, pjb Patrick J. Bennett, Ph.D. Professor & Canada Research Chair Department of Psychology McMaster University 1280 Main St. West Hamilton, ON L8S 4K1 Canada Office: 905-525-9140 ext. 23012 FAX: 905-529-6225 URL: www.psychology.mcmaster.ca/bennett/ www.chairs.gc.ca "I understand small business growth. I was one." -- George W. Bush, President of the United States of America

Hello, I downloaded R today because I was told it has very good bootstrapping abilities. What I need to do is to program it (or use an existing program) to bootstrapping test for multimodality using nonparametric kernel density estimates as proposed by Efron and Tibshirani (1993). If anyone can get me started, I will be immensely grateful. Thanks. Sangeeta

...-------- | Angelo J. Canty Email: cantya at mcmaster.ca | | Mathematics and Statistics Phone: (905) 525-9140 x 27079 | | McMaster University Fax : (905) 522-0935 | | 1280 Main St. W. | | Hamilton ON L8S 4K1 |

Question: How can I get access to the bias value of a boot statistic? Details: Boot function: boot(data, statistic, R, sim="ordinary", stype="i", strata=rep(1,n), L=NULL, m=0, weights=NULL, ran.gen=function(d, p) d, mle=NULL, ...) When I create an object, containing the bootstrap statistic (object <- boot (....))I can call it and will get an output

What in the world am I missing?? > x<-rnorm(20) > mean(x) [1] -0.2272851 > results<-boot(x,mean,R=5) > results[2] $t [,1] [1,] -0.2294562 [2,] -0.2294562 [3,] -0.2294562 [4,] -0.2294562 [5,] -0.2294562 Jeff Morris Ortho-Clinical Diagnostics A Johnson & Johnson Co. Rochester, NY Tel: (585) 453-5794 [[alternative HTML version deleted]]

I am trying to bootstrap the parameters for a model that is estimated through the optim() function and find that when I make the call to boot, it runs but returns the exact same estimate for all of the bootstrap estimates. I managed to replicate the same problem using a glm() model but was able to fix it when I made a call to the variables as data frame by their exact names. But no matter how I

I think I am doing something wrong when I try to bootstrap R square obtained from lm. My code is included below. No matter how many times I run the simulation, I always get exactly the same result, the bias and std.error are always zero. I would think that these values should be non-zero. I would appreciate any suggestions as to what I am doing wrong, or perhaps what I fail to understand. R 2.1.0

Hi, I using the boot package 1.2-20 on R 2.0.1. My statistics function estimates 6 parameters. In a small percentage of resampled data sets my statistics function doesn't produce an estimate for one parameter and the boot function stops with an error. I can write an ifelse(exists('parameter.estimate'), parameter.estimate, NA) statement within the statistic function to substitute

...distributed data but receive the same error. Has anyone had similar problems and found any solutions? Thank you for your input. Best regards, ___________________________________ Matt Giovanni, Ph.D. NSERC Visiting Research Fellow Canadian Wildlife Service 2365 Albert St., Room 300 Regina, SK S4P 4K1 306-780-6121 work 402-617-3764 mobile http://sites.google.com/site/matthewgiovanni/

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking