similar to: GLM with regularization

Hello, I am getting pretty poor rJava call performance > system.time(for (i in 1:1000) J("java.lang.Double")$parseDouble(as.character(i))) user system elapsed 4.884 0.000 4.900 i.e. 5 milliseconds per very simple call on a very fast cpu. JNI calls themselves are said to be pretty fast nowadays (10...40ns). It probably goes accross reflection but still doing pretty much

Hello, I'd be very grateful for help with some ggplot2's stat_density2d issues. First issue is with data limits. xlim() and ylim() doesn't seem to work; instead, estimates (and plotting) seems to be constrained to range(x), range(y) no matter what i do. The documentation says i can pass in kde2d's parameters to ... but pussing kde2d's "lims" parameter achieves

Hi everyone, Can someone please help me in these questions?: 1)if I use crossvalidation with svm, do I have to use this equation to calculate RMSE?: mymodel <- svm(myformula,data=mydata,cross=10) sqrt(mean(mymodel$MSE)) But if I don’t use crossvalidation, I have to use the following to calculate RMSE: mymodel <- svm(myformula,data=mydata) mytest

Hi, perhaps you can help me to find out, how to find the best Lambda in a LASSO-model. I have a feature selection problem with 150 proteins potentially predicting Cancer or Noncancer. With a lasso model fit.glm <- glmpath(x=as.matrix(X), y=target, family="binomial") (target is 0, 1 <- Cancer non cancer, X the proteins, numerical in expression), I get following path (PICTURE

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) ?

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 <r-help at r-project.org> wrote: > > Dear R-experts, > > Here below my R code with an error message. Can

Hi My name is karthikeyan. I am using svm in R for my data set. my data set contain 60 finance ratio as variables and i want to classify into group of good and bad. I want to know how to do the crossvalidation for the svm . first i am doing modelling and i am predict and i am calculating the probabilities how can i do the cross validation and how can i plot the svm for this variables

Hi, another question about validate() in Design library. The arugment "B" of this function is number of repetition for method="bootstrap", which is easy to understand; but for method="crossvalidation", B is the number of groups of omitted observations. This is confusing, I don't understand what it means. Let's say 5-fold cross validation, all samples are

Hi, Users, I am a new user. I am trying to partition data into training and test. Is there any R package or function that can partition dataset? Also, is there any package do crossvalidation? Any help will be appreciated. Best, Pat [[alternative HTML version deleted]]

Dear r-help I am trying to run LDA on a training data set, and test it on another data set with the same variables. I found examples using crossvalidation, and using training and testing data sets set up with sample, but not when they are preassigned. Here is what I tried # FIRST SET UP A DATAFRAME WITH ALL THE DATA AND CREATE NEW VARIABLES traintest1 <-

Looking for a poniter in the right direction My current configuration is NT4 PDC (Solaris PCnetlink) Samba Member server (Solaris 9 Samba ver 3.0.20b)for file and print sharing WinXp Pro Clients SP2 My problem is with the Domain Users. I am able to share out file systems to the XP clients from my Samba server OK. I am also able to modify the permissions for the files in the share in Solaris

Hi, I am a Rails noob. Suppose you have: --- class Animal < ActiveRecord::Base end class Mammal < Animal end class Cow < Mammal end --- I provide Animal,Mammal and Cow controllers with the scaffolding, just to test and to fill up the Animal table. I can see the "type" column getting it''s value set with the class name. So far, soo good. Now, since listing Animals

Dear list, I am modelling fish distributions using the glm-function followed by the step-function, and then want to cross-validate the model via the cv.glm-function from the {boot} package. I am working on fish distributions on coral reefs. The code I have works for one fish species. Since I have 227 fishes, I wrote a loop. Now the cv.glm-function comes up with an error message: "Error in

For what it's worth it looks like spm2 is specifically for *spatial* predictive modeling; presumably its version of CV is doing something spatially aware. I agree that glmnet is old and reliable. One might want to use a tidymodels wrapper to create pipelines where you can more easily switch among predictive algorithms (see the `parsnip` package), but otherwise sticking to glmnet

Dear, I'm very new to R Gui and I have to make an assignment on Gamma Regressions. Surfing on the web doesn't help me very much so i hope this forum may be a step forward. The question sounds as follows: The data set is in the library MASS first install library(MASS) then type data(mammals) attach(mammals) Assignment: Fit the gamma model and lognormal model for the mammals data.

Hi mailing list and R-core. Could someone from R-core please help me to create account in bugzilla? I would like to submit issue related to gc() to wishlist. Related context is here - https://stat.ethz.ch/pipermail/r-devel/2017-July/074715.html -- Regards Dmitriy Selivanov [[alternative HTML version deleted]]

Hi Rui. Thanks for answer, I'm aware of drop = FALSE option. Unfortunately it doesn't resolve the issue - I'm expecting to get a vector, not a matrix . ??, 21 ????. 2018 ?. ? 20:54, Rui Barradas <ruipbarradas at sapo.pt>: > Hello, > > Use drop = FALSE. > > a[1, , drop = FALSE] > # col1 > #row1 1 > > > Hope this helps, > > Rui Barradas

Forgive what may seem to be a trivial question/problem. Below is some simple R 1.2.1(Windows) code with output. > summary(mammals, digits=10) Name Body.Weight Brain.Weight Red Fox :1 Min. : 3.0 Min. : 26.0 Pig :1 1st Qu.: 35.5 1st Qu.: 138.5 Man :1 Median : 100.0 Median : 406.0 Kangaroo:1 Mean : 761.2 Mean :1000.0 Jaguar :1 3rd

Hi All. I'm writing storeRegToStackSlot and loadFromStackSlot function for my Target. This Target can store/load one byte (not all word) from FrameIndex. If I need to store 16 bit register I will must to split it to two instruction like this: BuildMI(MBB, MI, dl, get(Z80::LD8xmr)) .addFrameIndex(FrameIndex).addImm(0) .addReg(SrcReg, 0, Z80::subreg_lo); BuildMI(MBB, MI, dl,

Dear list, I'm making my current code more generic and would like some advise. The basic problem is subset and the name of the column to be compared for selection. What I've come up with is > data(mammals) > set <- bottompremolars" > subset(mammals, eval(parse(file="",text=set)) > 2) This seems a bit odd. Is there a nicer way? /Fredrik