Re: [R] running crossvalidation many times MSE for Lasso regression
If you are interested in other validation methods (e.g., LOO or n-fold) with more predictive accuracy measures, the function, glmnetcv, in the spm2 package can be directly used, and some reproducible examples are also available in ?glmnetcv. On Mon, Oct 23, 2023 at 10:59 AM Duncan Murdoch wrote: > On 22/10/2023 7:01 p.m., Bert Gunter wrote: > > No error message shown Please include the error message so that it is > > not necessary to rerun your code. This might enable someone to see the > > problem without running the code (e.g. downloading packages, etc.) > > And it's not necessarily true that someone else would see the same error > message. > > Duncan Murdoch > > > > > -- Bert > > > > On Sun, Oct 22, 2023 at 1:36 PM varin sacha via R-help > > wrote: > >> > >> Dear R-experts, > >> > >> Here below my R code with an error message. Can somebody help me to fix > this error? > >> Really appreciate your help. > >> > >> Best, > >> > >> > >> # MSE CROSSVALIDATION Lasso regression > >> > >> library(glmnet) > >> > >> > >> > x1=c(34,35,12,13,15,37,65,45,47,67,87,45,46,39,87,98,67,51,10,30,65,34,57,68,98,86,45,65,34,78,98,123,202,231,154,21,34,26,56,78,99,83,46,58,91) > >> > x2=c(1,3,2,4,5,6,7,3,8,9,10,11,12,1,3,4,2,3,4,5,4,6,8,7,9,4,3,6,7,9,8,4,7,6,1,3,2,5,6,8,7,1,1,2,9) > >> > y=c(2,6,5,4,6,7,8,10,11,2,3,1,3,5,4,6,5,3.4,5.6,-2.4,-5.4,5,3,6,5,-3,-5,3,2,-1,-8,5,8,6,9,4,5,-3,-7,-9,-9,8,7,1,2) > >> T=data.frame(y,x1,x2) > >> > >> z=matrix(c(x1,x2), ncol=2) > >> cv_model=glmnet(z,y,alpha=1) > >> best_lambda=cv_model$lambda.min > >> best_lambda > >> > >> > >> # Create a list to store the results > >> lst<-list() > >> > >> # This statement does the repetitions (looping) > >> for(i in 1 :1000) { > >> > >> n=45 > >> > >> p=0.667 > >> > >> sam=sample(1 :n,floor(p*n),replace=FALSE) > >> > >> Training =T [sam,] > >> Testing = T [-sam,] > >> > >> test1=matrix(c(Testing$x1,Testing$x2),ncol=2) > >> > >> predictLasso=predict(cv_model, newx=test1) > >> > >> > >> ypred=predict(predictLasso,newdata=test1) > >> y=T[-sam,]$y > >> > >> MSE = mean((y-ypred)^2) > >> MSE > >> lst[i]<-MSE > >> } > >> mean(unlist(lst)) > >> ## > >> > >> > >> > >> > >> __ > >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> https://stat.ethz.ch/mailman/listinfo/r-help > >> PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > >> and provide commented, minimal, self-contained, reproducible code. > > > > __ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Jin -- Jin Li, PhD Founder, Data2action, Australia https://www.researchgate.net/profile/Jin_Li32 https://scholar.google.com/citations?user=Jeot53EJ=en [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] running crossvalidation many times MSE for Lasso regression
On 22/10/2023 7:01 p.m., Bert Gunter wrote: No error message shown Please include the error message so that it is not necessary to rerun your code. This might enable someone to see the problem without running the code (e.g. downloading packages, etc.) And it's not necessarily true that someone else would see the same error message. Duncan Murdoch -- Bert On Sun, Oct 22, 2023 at 1:36 PM varin sacha via R-help wrote: Dear R-experts, Here below my R code with an error message. Can somebody help me to fix this error? Really appreciate your help. Best, # MSE CROSSVALIDATION Lasso regression library(glmnet) x1=c(34,35,12,13,15,37,65,45,47,67,87,45,46,39,87,98,67,51,10,30,65,34,57,68,98,86,45,65,34,78,98,123,202,231,154,21,34,26,56,78,99,83,46,58,91) x2=c(1,3,2,4,5,6,7,3,8,9,10,11,12,1,3,4,2,3,4,5,4,6,8,7,9,4,3,6,7,9,8,4,7,6,1,3,2,5,6,8,7,1,1,2,9) y=c(2,6,5,4,6,7,8,10,11,2,3,1,3,5,4,6,5,3.4,5.6,-2.4,-5.4,5,3,6,5,-3,-5,3,2,-1,-8,5,8,6,9,4,5,-3,-7,-9,-9,8,7,1,2) T=data.frame(y,x1,x2) z=matrix(c(x1,x2), ncol=2) cv_model=glmnet(z,y,alpha=1) best_lambda=cv_model$lambda.min best_lambda # Create a list to store the results lst<-list() # This statement does the repetitions (looping) for(i in 1 :1000) { n=45 p=0.667 sam=sample(1 :n,floor(p*n),replace=FALSE) Training =T [sam,] Testing = T [-sam,] test1=matrix(c(Testing$x1,Testing$x2),ncol=2) predictLasso=predict(cv_model, newx=test1) ypred=predict(predictLasso,newdata=test1) y=T[-sam,]$y MSE = mean((y-ypred)^2) MSE lst[i]<-MSE } mean(unlist(lst)) ## __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] running crossvalidation many times MSE for Lasso regression
No error message shown Please include the error message so that it is not necessary to rerun your code. This might enable someone to see the problem without running the code (e.g. downloading packages, etc.) -- Bert On Sun, Oct 22, 2023 at 1:36 PM varin sacha via R-help wrote: > > Dear R-experts, > > Here below my R code with an error message. Can somebody help me to fix this > error? > Really appreciate your help. > > Best, > > > # MSE CROSSVALIDATION Lasso regression > > library(glmnet) > > > x1=c(34,35,12,13,15,37,65,45,47,67,87,45,46,39,87,98,67,51,10,30,65,34,57,68,98,86,45,65,34,78,98,123,202,231,154,21,34,26,56,78,99,83,46,58,91) > x2=c(1,3,2,4,5,6,7,3,8,9,10,11,12,1,3,4,2,3,4,5,4,6,8,7,9,4,3,6,7,9,8,4,7,6,1,3,2,5,6,8,7,1,1,2,9) > y=c(2,6,5,4,6,7,8,10,11,2,3,1,3,5,4,6,5,3.4,5.6,-2.4,-5.4,5,3,6,5,-3,-5,3,2,-1,-8,5,8,6,9,4,5,-3,-7,-9,-9,8,7,1,2) > T=data.frame(y,x1,x2) > > z=matrix(c(x1,x2), ncol=2) > cv_model=glmnet(z,y,alpha=1) > best_lambda=cv_model$lambda.min > best_lambda > > > # Create a list to store the results > lst<-list() > > # This statement does the repetitions (looping) > for(i in 1 :1000) { > > n=45 > > p=0.667 > > sam=sample(1 :n,floor(p*n),replace=FALSE) > > Training =T [sam,] > Testing = T [-sam,] > > test1=matrix(c(Testing$x1,Testing$x2),ncol=2) > > predictLasso=predict(cv_model, newx=test1) > > > ypred=predict(predictLasso,newdata=test1) > y=T[-sam,]$y > > MSE = mean((y-ypred)^2) > MSE > lst[i]<-MSE > } > mean(unlist(lst)) > ## > > > > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R-es] Como generar raster de tendencia
Buen día, Por favor alguien, sabe como generar un raster de tendencia ? [[alternative HTML version deleted]] ___ R-help-es mailing list R-help-es@r-project.org https://stat.ethz.ch/mailman/listinfo/r-help-es
[R] running crossvalidation many times MSE for Lasso regression
Dear R-experts, Here below my R code with an error message. Can somebody help me to fix this error? Really appreciate your help. Best, # MSE CROSSVALIDATION Lasso regression library(glmnet) x1=c(34,35,12,13,15,37,65,45,47,67,87,45,46,39,87,98,67,51,10,30,65,34,57,68,98,86,45,65,34,78,98,123,202,231,154,21,34,26,56,78,99,83,46,58,91) x2=c(1,3,2,4,5,6,7,3,8,9,10,11,12,1,3,4,2,3,4,5,4,6,8,7,9,4,3,6,7,9,8,4,7,6,1,3,2,5,6,8,7,1,1,2,9) y=c(2,6,5,4,6,7,8,10,11,2,3,1,3,5,4,6,5,3.4,5.6,-2.4,-5.4,5,3,6,5,-3,-5,3,2,-1,-8,5,8,6,9,4,5,-3,-7,-9,-9,8,7,1,2) T=data.frame(y,x1,x2) z=matrix(c(x1,x2), ncol=2) cv_model=glmnet(z,y,alpha=1) best_lambda=cv_model$lambda.min best_lambda # Create a list to store the results lst<-list() # This statement does the repetitions (looping) for(i in 1 :1000) { n=45 p=0.667 sam=sample(1 :n,floor(p*n),replace=FALSE) Training =T [sam,] Testing = T [-sam,] test1=matrix(c(Testing$x1,Testing$x2),ncol=2) predictLasso=predict(cv_model, newx=test1) ypred=predict(predictLasso,newdata=test1) y=T[-sam,]$y MSE = mean((y-ypred)^2) MSE lst[i]<-MSE } mean(unlist(lst)) ## __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Release of rclipboard 0.2.0
Hi, Version 0.2.0 of rclipboard has been released to CRAN. This provides a minor update of the underlying js library and a support for display of `bslib::tooltip` for Shiny apps built with `bslib` package. Enjoy! [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.