similar to: re gression trees: mean square vs. absolute errors

Hello, I tried to build an own R package on Windows XP but get an error which I can't solve. I called my package "pack". It works to creat the file "pack" with package.skeleton(). But when I try to compile it with Rcmd build --binary pack I obtain the following error: IO::Seekable::seek missing at C:/R/R-2.9.0/share/perl/FileHandle.pm line 59. Compilation failed in

Hi, We found `llvm-config --cxxflags' does not have -fno-exceptions -fno-rtti when using cmake to build LLVM. Does anyone know how to fix it? Best regards, Luba ---------- Forwarded message ---------- From: Luba Tang <lubatang at gmail.com> Date: 2012/11/21 Subject: Re: [MCLinker] Re: Major release - MCLinker 2.0.0 - RockBull To: mclinker at googlegroups.com Hi, We make sure the

Hello, is there a similar package like SEM. In fact, I am looking for a package where I as input several given vector variables which are part of an autoregressive model. Then I would like to obtan parameters for so called latent variables. Thank you, Luba [[alternative HTML version deleted]]

Hello, I use the function sem the following way sem.mod <- sem(model, mod.cov, N=109) where the variables are modelled: Z -> M Z -> I Z -> R M <-> M I <-> I R <-> R Z <-> Z The output is ... Normalized Residuals Min. 1st Qu. Median Mean 3rd Qu. Max. -7.3300 -0.2750 -0.2670 -0.1290 -0.0369 9.0300 Parameter Estimates Estimate Std Error z value Pr(>|z|)

I try to load the package lattice by library(lattice). Although I have installed it through CRAN by internet as well as from a local directory using the zip-file, it can't be loaded into the editor. Can anyone give advice, please. I am using R 2.9.1 on Widows XP. Thanks a lot, Luba [[alternative HTML version deleted]]

Hello, is it possible to create two uncorrelated random vectors for a given distribution. In fact, I would like to have something like the function "rnorm" or "rlogis" with the extra property that they are uncorrelated. Thanks for your help, Luba [[alternative HTML version deleted]]

I try to load the package lattice by library(lattice). Although I have installed it through CRAN by internet as well as from a local directory using the zip-file, it can't be loaded into the editor. Can anyone give advice, please. I am using R 2.9.1 on Widows XP. Thanks a lot, Luba [[alternative HTML version deleted]]

Hello In STATA there is command which has regression with clustering option. Can anyone tell me what is the command for the same in R for example in STATA its regress Height Weight, cluster(id) Thanks in Advance Regards Sunita -- View this message in context: http://www.nabble.com/Regression---cluster-option-in-STATA-tp25241948p25241948.html Sent from the R help mailing list archive at

Luba Tang <lubatang at gmail.com> writes: > We found `llvm-config --cxxflags' does not have -fno-exceptions -fno-rtti > when using cmake to build LLVM. > Does anyone know how to fix it? Using -fno-rtti and -fno-exceptions is an internal LLVM policy. There is no reason to impose it on client code.

Hi everyone! I'm new to R, and I'm stuck on a problem I don't know how to approach. I have calculated a regression in the form of M ~ D + O + S, and I would like to take this regression and test it with other samples, 5 at a time(5 meaning 5 set, each consisting M, D, O, and S of a specific date). I assume I'll need a for loop. Right now, My data of M, D, O, and S are all stored in

Hi, Previously I posted a thread asking help on how to best-fit (in the least squares sense) a straight line through a set of data points. Thanks a lot to all replying to it. I managed it in Matlab using a function 'fit_3D_data' (link: http://webscripts.softpedia.com/script/Scientific-Engineering-Ruby/Statistics-and-Probability/Orthogonal-Linear-Regression-in-3D-space-35532.html). But to

Please explain me as what it means and how this analysis can be done using R and which library(ies) are needed. Thanks -- View this message in context: http://www.nabble.com/Regression-using-age-and-Duration-of-disease-as-a-continous-factors-tp24574133p24574133.html Sent from the R help mailing list archive at Nabble.com.

Hi, I'm sure these are basic problems so I apologise in advance for my ignorance. I have a dataset with X, Y, and a Factor with 4 levels. I am trying to figure out how to use lm() to find the r2 value, slope and intercept of an X~Y regression, for each level of the Factor. Is there a way to do this automatically without having to specify different subsets of the factor? my code so far:

i have a series of regressions i need to run where everything is the same except for the dependent variable, e.g.: lm(y1 ~ x1+x2+x3+x4+x5, data=data) lm(y2 ~ x1+x2+x3+x4+x5, data=data) lm(y3 ~ x1+x2+x3+x4+x5, data=data) is it possible to run all these regs with a single command? given that the bulk of the work for linear regressions is inverting a matrix that depends only on the independent

Hi, Brooks, Since this project is helped by many BSD guys in Taiwan, one of MCLinker's main objectives is make direct contribution to the BSD realm. Please feel free to give us suggestions to make sure we can achieve this goal. Any comments are appreciated. We realized open discussion on the mailing list is necessary, and we hope this thread can be a beginning to openly discuss the project

Hey, For the bridge issue, take a look at 'notransfer=yes' option in your iax.conf. It'll force * to stay in the path http://www.mail-archive.com/asterisk-users@lists.digium.com/msg42262.html

Dear LLVM user and developer, We get a chance to give a tutorial on LLVM and MCLinker. The tutorial will be co-located with CGO 2013 on Feb. 24 (Sunday morning) in Shenzhen, China. If you are also interesting in these topics, welcome to join the tutorial! Here is a website of the tutorial: http://code.google.com/p/mclinker/ We're also looking for additional presenters to share a

I have a large dataset grouped by a factor and I want to perform a regression on each data subset based on this factor. There are many ways to do this, posted here and elsewhere. I have tried several. However I found one method posted on the R wiki which works exactly as I want, and I like the elegance and simplicity of the solution, but I don't understand how it works. Its all in the formula

Hello, I am randomly generating values and then using an ANOVA table to find the mean square value. I would like to form a loop that extracts the mean square value from ANOVA in each iteration. Below is an example of what I am doing. a<-rnorm(10) b<-factor(c(1,1,2,2,3,3,4,4,5,5)) c<-factor(c(1,2,1,2,1,2,1,2,1,2)) mylm<-lm(a~b+c) anova(mylm) Since I would like to use a loop to

Hi, I am trying to build GAM with linear constraints, for a general link function, not only identity. If I understand it correctly, the function pcls() can solve the problem, if the smoothness penalties are given. What I need is to incorporate the constraints before calculating the penalties. Can this be done in R? Any help would be greately appreciated. -- View this message in context: