similar to: Automatic creation of binary logistic models

Dear R fans, I am trying to do step-wise linear regression using the F-test to decide which variables to admit. Ewout Steyerberg suggests using the F-test for this purpose. I first build a model using no variables using lm(y ~ 1) and then using one variable that is a strong predictor using lm(y ~ x). When I call var.test on these two models, I do not get a significant p-value—0.07. But a

Hi, this is not R technical question per se. I know there are many excellent statisticians in this list, so here my questions: I have dataset with ~1800 observations and 50 independent variables, so there are about 35 samples per variable. Is it wise to build a stable multiple logistic model with 50 independent variables? Any problem with this approach? Thanks John

Hi all, I am using the glmnet R package to run LASSO with binary logistic regression. I have over 290 samples with outcome data (0 for alive, 1 for dead) and over 230 predictor variables. I currently using LASSO to reduce the number of predictor variables. I am using the cv.glmnet function to do 10-fold cross validation on a sequence of lambda values which I let glmnet determine. I then take

I recently found the "bestglm" package while trolling CRAN for a function to save some keystrokes with simple (k<10) nested models. I am interested in using the best of several nested linear models which I have explored using lm(), glm() and now bestglm(). When I compare the AIC values for the 'best' candidate model I get the same AIC values with lm() and glm() but a

Hi all, I have been trying to run a bestglm in R for a while now and am struggling to get it to run. When I thought I had succeeded, the "output" it gave me was "NULL" and that's it. Below is my code: bestglmtest<-read.table("C:\\Documents and Settings\\clyons\\Desktop\\bestglmtest.txt",header=T,row.names=1) > names(bestglmtest) [1] "acc"

Hello all, Quick question, I''m using AAF and the following custom analyzer: class StemmedAnalyzer < Ferret::Analysis::Analyzer include Ferret::Analysis def initialize(stop_words = ENGLISH_STOP_WORDS) @stop_words = stop_words end def token_stream(field, str) StemFilter.new(StopFilter.new(LowerCaseFilter.new(StandardTokenizer.new(str)), @stop_words)) end However when

Hey all! We''ve been using Ferret to great success these past six months. But recently we''ved tried adding many new ContentItems (only thing being index by Ferret at the moment), and things came crashing to a halt. ferret gem: 0.10.9 acts_as_ferret plugin (not sure which version) How we''re using the plugin: class ContentItem < ActiveRecord::Base acts_as_ferret

Dear R users, Is there any package that I could use to perform Penalized Logistic Regression (i.e. Ridge/Lasso regularization) including also an offset term in the model (i.e. a variable with a known coefficient of 1 rather than an estimated coefficient)? I couldn't find any package that would allow using offset terms. Any guidance will help. Many thanks! Axel. [[alternative HTML version

Hi, I know leaps() computes the best subset selection for linear model, and the bestglm() computes the best subset selection for generalized linear model. Is there any package for best subset selection on random effects model, or mixed effects model? Thank you so much. Tao [[alternative HTML version deleted]]

Hi all, I'm doing Multiple linear regression for a data set. However, it takes a lot of time, as I would like to check every possible combination of factors, evalute the results based for instance on their p values, and then choose the best regression model. So, I wonder if anyone might have a script for that? Or if not, do you have some suggestions how to create such a script? I've

Dear All, When one loads certain packages, some other dependent packages are loaded as well. Is there some way of detaching them automatically when one detaches the first package loaded? For instance, > library(sqldf) Loading required package: RSQLite Loading required package: DBI Loading required package: gsubfn Loading required package: proto but > detach(package:sqldf) > >

Thanks, I?aki, for your answer. Yes, I do have a GPU: NVIDIA GeForce GTX 1650/PCIe/SSE2 NVIDIA Corporation 4.6.0 NVIDIA 560.35.03 And no progress: $ rstudio GSK_RENDERER=ngl [18088:1103/205442.538796:ERROR:gl_factory.cc(120)] Requested GL implementation (gl=none,angle=none) not found in allowed implementations: [(gl=egl-angle,angle=default),(gl=egl-gles2,angle=none)].

R-packages leaps and subselect implement various methods of selecting best or good subsets of predictor variables for linear regression models, but they do not seem to be applicable to logistic regression models. Does anyone know of software for finding good subsets of predictor variables for linear regression models? Thanks. -Ben p.s., The leaps package references "Subset Selection

Sorry. Let me try again then. I am trying to find "significant" predictors" from a list of about 44 independent variables. So I started with all 44 variables and ran drop1(sep22lr, test="Chisq")... and then dropped the highest p value from the run. Then I reran the drop1. Model: MIN_Mstocked ~ ORG_CODE + BECLBL08 + PEM_SScat + SOIL_MST_1 + SOIL_NUTR + cE + cN +

Dear All My data consists in 96 groups, each one with 10 observations. Levene's test suggests that the variances are not equal, and therefore I have tried to apply the classical transformations to have homocedasticity in order to be able to use ANOVA. Unfortunately, no transformation that I have used transforms my data into data with homocedasticity. The histogram of variances is at

It is unlikely to be a packaging issue. I suggest you open a bug report here: https://github.com/rstudio/rstudio/issues. I?aki On Sun, 3 Nov 2024 at 22:04, Paul Smith <phhs80 at gmail.com> wrote: > Thanks, but unfortunately no progress: > > $ GSK_RENDERER=ngl rstudio > > [19496:1103/210330.025303:ERROR:gl_factory.cc(120)] Requested GL > implementation

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Thanks, but unfortunately no progress: $ GSK_RENDERER=ngl rstudio [19496:1103/210330.025303:ERROR:gl_factory.cc(120)] Requested GL implementation (gl=none,angle=none) not found in allowed implementations: [(gl=egl-angle,angle=default),(gl=egl-gles2,angle=none)]. [19496:1103/210330.028349:ERROR:viz_main_impl.cc(198)] Exiting GPU process due to errors during initialization Segmentation fault (core

BTW, meanwhile, you can install rstudio-server and use RStudio in your browser at http://localhost:8787 I?aki On Sun, 3 Nov 2024 at 22:10, I?aki Ucar <iucar at fedoraproject.org> wrote: > It is unlikely to be a packaging issue. I suggest you open a bug report > here: https://github.com/rstudio/rstudio/issues. > > I?aki > > On Sun, 3 Nov 2024 at 22:04, Paul Smith

Dear All, Is sqldf equipped with delete queries? I have tried delete queries but with no success. Thanks in advance, Paul