similar to: getting faster results

Hey eveyone! I hope someone can help wiht this question. I have a matirux of all zeros and ones and I would like to indentify all unique patterns in the rows andthe number of times the pattern occurs. I changed all zeros to NA tried to use prelim.norm to identify all patterns of missing data in the rows. I got the message Warning message: NAs introduced by coercion Any ideas of how

Hey, Does anyone know if there is a way to get back from goodfit what it estimated the parameters to be? I used the code fit<-goodfit(round(data$PLX_NRX),type="nbinomial" and got a pretty good fit. I could not however duplicate this good fit with any parameter estimates that I had. Any ideas??? Thanks, Elizabeth Lawson ---------------------------------

Hey, I am estiamting a partially linear model y=X\beta+f(\theta) where the f(\theta) is estiamted using wavelets. Has anyone heard of methods to test if the betas are significant or to address model fit? Thanks for any thoughts or comments. Elizabeth Lawson __________________________________________________ [[alternative HTML version deleted]]

Hi, I am hoping some one can help me. I am learning to use C and would like to learn how to call c code in R. I have look at Writing R Extensions and I tried to copy the example on page 38 void convolve(double *a, int *na, double *b, int *nb, double *ab) { int i, j, nab = *na + *nb - 1; for(i = 0; i < nab; i++) ab[i] = 0.0; for(i = 0; i < *na; i++) for(j = 0; j <

hey, I am running R 2.0.1 on a the terminal of my MAC OS X and I have written some C code that I would like to use dynload to bring into R. When I try to compile the code i get the error R.defines.h no such file or directory. I know that the file is in resources/include but where do I have to move the file to so that the compiler can access it? I tried copying Rdefines.h and R_ext folders

Hi, I am hoping some one can help with this. I am using nlme to fit a random coefficients model. It ran for hours before returning Error: Singularity in backsolve at level 0, block 1 The model is > plavix.nlme<-nlme(PLX_NRX~loglike(PLX_NRX,PD4_42D,GAT_34D,VIS_42D,MSL_42D,SPE_ROL,XM2_DUM,THX_DUM,b0,b1,b2,b3,b4,b5,b6,b7,alpha), + data=data, + fixed=list(b0 +

Hey, I was using lme and proc mixed in SAS to run a empirical bayesian model. I used the same method for both lme and proc mixed (the default REML). I got very similar, but not identical results. I am just wondering if anyone knows what the differneces may be between proc mixed and lme. Any thoughts would be appreciated! Thanks, Liz

Hi, I am attempting to run the libiconv test-suite using wine and one of the problems I am having is that the executables are not able to find the DLL, even when setting WINEDLLPATH, as in: WINEDLLPATH=../lib/.libs wine .libs/table-to Am I doing something wrong? Thank you, Elizabeth

I realized that I may not have answered the question you were asking and that no one else has responded. I can across a similar problem and may have an answer to your question now. If you have both the wavelet coefficients and the scaling coefficients then create a fake sequence of the same length as the original and decompose that sequence using wd form wavethersh with the same wavelet family

Hey, I don;t know if anyone has come across this error before... I am running R on the terminal of my MAC OS X 10.3.4 and I have written C code and compiled it using R CMD SHLIB mycode.c There were no problems in compiling so I now have mycode.o and mycode.so. I used dyn.load("mycode.so") and again, no problems. But when I try to use the code .C("mycode",x)

Hi, I am using gamm and I run out of memory and R crashes. I have tried to change the amount of memory in R using memory.limit as so far the largest it has allowed memory.limit(size=3072) still ahs this problem. If I try to use max I get the following error > memory.limit(memory.size(max=TRUE)) Error in memory.size(size) : don't be silly!: your machine has a 4Gb address limit Does

https://bugzilla.mindrot.org/show_bug.cgi?id=3577 Bug ID: 3577 Summary: CASignatureAlgorithms supports -cert alogrithms Product: Portable OpenSSH Version: 9.3p1 Hardware: amd64 OS: Linux Status: NEW Severity: normal Priority: P5 Component: ssh Assignee: unassigned-bugs at

Hey everyone, I have read the paper by Ritter and Tanner(1992) on Griddy-Gibbs sampler and I am trying to implement it in R without much luck. I was wondering if anyone had used this or could point me to any example code. Thanks, Liz --------------------------------- [[alternative HTML version deleted]]

dear community, I am a beginer in R , and can't predict with logistic model in package logistf, could anyone help me ? thanks ! the following is my command and result : >library(logistf) >data(sex2) >fit<-logistf(case ~ age+oc+vic+vicl+vis+dia, data=sex2) >predict(fit,newdata=sex2) Error in predict(fit, newdata = sex2) : no applicable method for "predict"

Dear R Users, For running wavelet functions using dwt( ), modwt( ), and mra( ), a wavelet filter algorithm is applied. For all these functions, default is "la8" and other possibility is "haar". In related documents, another possibilities like as symlet and coiflet ... are not cited. Besides "la8" and "haar", which wavelet filters can be used? Thank

Hi, I just bought new macbook pro 10.6.3. I am trying to use some old c code that used to work. I tried to recompile the code. In the directory with code I used R CMD SHLIB hello.c and get the error make: Nothing to be done for `all'. I have tried reinstalling Xcode and R but I am still having this problem. Any suggestions? -- View this message in context:

Hello all, I would like to fit a mixed effects model, but my response is of the negative binomial (or overdispersed poisson) family. The only (?) package that looks like it can do this is glmm.ADMB (but it cannot run on Mac OS X - please correct me if I am wrong!) [1] I think that glmmML {glmmML}, lmer {Matrix}, and glmmPQL {MASS} do not provide this "family" (i.e. nbinom, or

Hi- I am trying to fit a log function to my data, with the ultimate goal of finding the second derivative of the function. However, I am stalled on the first step of fitting a curve. When I use the following code: FG2.model<-(nls((CO2~log(a*Time)+b), start=setNames(coef(lm(CO2 ~ log(Time), data=FG2)), c("a", "b")),data=FG2)) I get the following error: Error in

Hi R-users, I'm running R under Unix and producing postscript output of graphs. Soemtimes, some tick axis labels disappear from my output. eg if I have a vector months <- c("J","F","M","A","M","J","J","A","S","O","N","D") Then the "M" and one or 2 other

Hey gang, I'm hoping someone can help me out here. I've just noticed that on two of my five Asterisk boxes (CentOS 4.4, Asterisk 1.2.12.1), I'm getting the following translation cost for g729: asterisk*CLI> show translation Server 1: g729 - 26 25 25 25 25 24 26 - 53 36 Server 2: g729 - 66 65 65 65 65 64 69 -