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Hi It clear that to do a classification with svm under 10-fold cross validation one uses svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = 10) What corresponds to the nnet? nnet(.....,cross=10)? Regards

...s, what is the .Machine$double.xmin for for machines? regards. Stephen. ----- Original Message ----- From: Achim Zeileis <Achim.Zeileis at wu-wien.ac.at> Date: Tuesday, July 12, 2005 10:51 am Subject: Re: [R] exact values for p-values - more information. > On Tue, 12 Jul 2005, S.O. Nyangoma wrote: > > > > If they have the same degrees of freedom, use the test statistic > > > and not > > > the p value for comparing them. > > > Z > > > > I appretiate your input to this discussion. Do you know of a > reference> to your statement...

I have a large data matrix (4460X3500) and I want to sum row subsets in groups of 10 (bin). Is there an efficient way to do this in R without using loops. Looping takes forever to perform this task! For example suppose we have the matrix > matrix(1:12,6,2) [,1] [,2] [1,] 1 7 [2,] 2 8 [3,] 3 9 [4,] 4 10 [5,] 5 11 [6,] 6 12 my problem is to sdum for

Hi I have a called fil consisting of the following strings. > fil [1] " 102.2 639" " 104.2 224" " 105.1 1159" " 107.1 1148" " 108.1 1376" [6] " 109.2 1092" " 111.2 1238" " 112.2 349" " 113.1 1204" " 114.1 537" [11] " 115.0 303" " 116.1 490"

Dear colleague, Just an e-mail to know if they are people working in the field of chemoinformatic that are using R in their work. If yes I was wondering if we couldn't exchange tips and tricks about the use of R in this area ? Best regards Fred Ooms [[alternative HTML version deleted]]

Hi I want to install eda library. Where can I download it? I use R version 2.1.0 on Linux. Thanks. Stephen. ----- Original Message ----- From: Luis Ridao Cruz <Luisr at frs.fo> Date: Tuesday, September 13, 2005 1:32 pm Subject: Re: [R] How to erase objects > ?rm > > > >>> <v.schlecht at arcor.de> 13/09/2005 12:08:55 >>> > > Hi, I admit that

Hi there, If I do an lm, I get p-vlues as p-value: < 2.2e-16 This is obtained from F =39540 with df1 = 1, df2 = 7025. Suppose am interested in exact value such as p-value = 1.6e-16 (note = and not <) How do I go about it? stephen

I have a dataset that is basically structureless. Its dimension varies from row to row and sep(s) are a mixture of tab and semi colon (;) and example is HEADER1 HEADER2 HEADER3 HEADER3 A1 B1 C1 X11;X12;X13 A2 B2 C2 X21;X22;X23;X24;X25 A3 B3 C3 A4 B4 C4 X41;X42;X43 A5 B5 C5 X51 etc., say. Note that a blank

Hi there, If I do an lm, I get p-vlues as p-value: < 2.2e-16 Suppose am interested in exact value such as p-value = 1.6e-16 (note = and not <) How do I go about it? stephen

Hi I used the command R CMD INSTALL ncdf to install ncdf package in linux. Can somebody explain to me what might be wrong. Thanks. Below is the error. * Installing *source* package 'ncdf' ... Special note: checking for gcc... gcc checking for C compiler default output... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no checking for

Hi all, I have a very high dimensional data and apparently there are several columns that contain similar information (some columns are equal). I want to form a matrix/data frame consisting of unique columns. Does anyone have an efficient way of getting out these columns. A small section of the data frame is given below. Thanks for helping. Stephen. > newdata [,1] [,2] [,3] [,4] [,5]

Hello Chris, I am trying to fit a 4 state multi-state model using hidden markov routine in the msm package. 1. initial parameters: twoway4.q <- rbind(c(0, 0.25, 0, 0.25), c(0.166, 0, 0.166, 0.166), c(0, 0.25, 0, 0.25), c(0, 0, 0, 0)) ematrix <- rbind( c(0, 0.01, 0, 0), c(0.01, 0, 0.01,0), c(0, 0.1, 0, 0), c(0, 0, 0, 0)) 2. the model: msm_covariates_sexandage <- msm(state ~