similar to: Haw I get best lambda in box-cox

Hello, I'm having a error message when I try to load the som library from a cgi. When a run my script via web the following error appears in the apache log: Error: package som was built for i686-pc-linux-gnu, referer: https:// .... I call the library function setting the path to the library directory: >library(som, lib.loc="/usr/local/lib/R/library/") The script runs fine

Greetings all! This problem occurs using R 1.8.1 on Windows XP. I downloaded the binaries for R and all packages, including the VR bundle, in December 2003. The data consists of NZ$ prices and attributes for 643 cars. > summary(price) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 14290 35800 48990 65400 79000 285000 2 > library(MASS) > boxcox(price

Hi all, I need to calculate a multidimensional integration on R. I am using the command "adapt" (from library adapt), although sometimes I get the following error message: Ifail=2, lenwrk was too small. -- fix adapt() ! Check the returned relerr! in: adapt(3, linf, lsup, functn = Integrando1) I guess it happens because the domain of integration is too small, although I tried a

Hi all, I found a problem on R that looks like a bug to me. I am working with R for windows verson 1.9.0, but the problem also happens on the linux version 1.9.0. I hope that the problem is on my reasoning, and I would be grateful if someone could explain me why this happens. There goes the example: > x<-seq(-2,2,0.001) > y<-rep(0,length(x)) > for (i in x){y[1000*i+2001]<-i^2}

Dear all, I coded a function called u.glm u.glm <- function (x,ahi,age,bmiz,gender) { library(nortest) lil.rslt <- lillie.test(x) if (lil.rslt$p.value >0.05) { cat("Logtrans=0, lillie=",lil.rslt$p.value,"\n") xmodel<-glm(x~ahi+age+bmiz+as.factor(gender)) summary(xmodel) confint(xmodel) } else { cat("Logtrans=1,

Colleagues ---------------------------------- System info: R version rw1020 on NT ESS using emacs ver. 20.4 ---------------------------------- Can anyone please tell me where to find the function "banking()" containing Cleveland's solution to optimising graph aspect ratio? It is mentioned in Venables and Riply 1994, pg. 112, Ex. 3.7, q. 3.5. I have not found it (or perhaps

Bug in "SOM" package in R. This simple code withot for loop runs:-------simple.r-------- library(som) A <- as.matrix(read.table("C:/code/h.txt", sep="\t", header=TRUE, row.names=1)) print(som(A,1,2)$visual) print(som(A,1,3)$visual) ---------------------------------------- The same code if inserted in for loop generates "Assertion failure" in

Hello, ? I believe that in R, it is not possible to analyze mixed effect-models when the distribucion is not gaussian (p.e. binomial or poisson), isn't? ? Somebody can suggest me alternative? ? thanks ? xavi ? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Ive tryed this: R CMD INSTALL Rmpi_0.5-2.tar.gz But occurred this error: gcc -shared -L/usr/local/lib64 -o Rmpi.so conversion.o internal.o RegQuery.o Rmpi.o -lmpi -llam -lutil -lpthread -L/usr/local/lib64/R/lib -lR /usr/lib64/gcc-lib/x86_64-suse-linux/3.3.3/../../../../x86_64-suse-linux/bin /ld: /usr/local/lib/libmpi.a(infoset.o): relocation R_X86_64_32 can not be used when making a shared

hi! I did Riply's K function and envelope in the package "SPATSTAT". When the species number is less, it can work well and it is quickly. But when the species number is more(example:2000), it told me"memory limit". So I change "memory limit". But the speed is very slow. I took 13 hours to run the programe. Perhaps there are other methods that can do it. Or just

does anyone know how to extract Shrinkage intensity lambda and lambda.var values after run cov.shrink(x)? thanks, KZ [[alternative HTML version deleted]]

On Fri, Oct 25, 2019 at 01:13:40PM -0300, Cristiane Naves wrote: > Remove the variable of return. Issue found by > coccicheck(scripts/coccinelle/misc/returnvar.cocci) > > Signed-off-by: Cristiane Naves <cristianenavescardoso09 at gmail.com> > --- > drivers/iommu/virtio-iommu.c | 3 +-- > 1 file changed, 1 insertion(+), 2 deletions(-) Applied for v5.5, thanks.

Hi there, I wrote a function that wraps MASS::boxcox as: bc <- function(vec) { lam <- boxcox(lm(vec ~ 1)) lam <- lam$x[which.max(lam$y)] (vec^lam - 1)/lam } When I invoke it as: > x <- runif(20) > bc(x) Error in eval(predvars, data, env) : object 'vec' not found I have googled, and rewrote the above function as: bc <- function(vec) { dat <<-

Hi there, I wrote a function that wraps MASS::boxcox as: bc <- function(vec) { lam <- boxcox(lm(vec ~ 1)) lam <- lam$x[which.max(lam$y)] (vec^lam - 1)/lam } When I invoke it as: > x <- runif(20) > bc(x) Error in eval(predvars, data, env) : object 'vec' not found I have googled, and rewrote the above function as: bc <- function(vec) { dat <<-

Thanks John. ?boxcox says: ************************* Arguments object a formula or fitted model object. Currently only lm and aov objects are handled. ************************* I read that as saying that boxcox(lm(z+1 ~ 1),...) should run without error. But it didn't. And perhaps here's why: BoxCoxLambda <- function(z){ b <- MASS:::boxcox.lm(lm(z+1 ~ 1), lambda = seq(-5, 5,

hhbuur at linux-ezva:~> wine /media/MIPro90-DAN/setup.exe wine: could not exec the wine loader hhbuur at linux-ezva:~> wine /usr/bin/winemine.exe wine: could not exec the wine loader hi thes is my problem i do not get in contact whit my wine no mater wot i do a there som help to get whit wine loader. wot can prevent wine loader from start op. :?

Dear Ron and Bert, First (and without considering why one would want to do this, e.g., adding a start of 1 to the data), the following works for me: ------ snip ------ > library(MASS) > BoxCoxLambda <- function(z){ + b <- boxcox(z + 1 ~ 1, + lambda = seq(-5, 5, length.out = 101), + plotit = FALSE) + b$x[which.max(b$y)] + } > mrow <- 500

Hi Bert, On 2023-07-08 3:42 p.m., Bert Gunter wrote: > Caution: This email may have originated from outside the organization. Please exercise additional caution with any links and attachments. > > > Thanks John. > > ?boxcox says: > > ************************* > Arguments > > object > > a formula or fitted model object. Currently only lm and aov objects

Hi all, I am using glampath package for L1 regularized logistic regression. I have read the article " L1 regularization path algorithm for GLM" by park and Hastie (2006). One thing I can't understand that how to find best lambda for my prediction. I want to use that lambda for the prediction not the entire set. thanks. -- View this message in context:

Usually when using raw glmnet I let the implementation choose the lambdas. However when training via caret::train the lambda values are predetermined. Is there any way to have caret defer the lambda choices to caret::train and thus choose the optimal lambda dynamically? -- Yang Zhang http://yz.mit.edu/