similar to: Credit Scoring in R - Weight of Evidence

Hi!   I have been reading lots of queries regarding logistic regression as well as Credit scoring model and the related replies, which I must admit are full of wisdom and help us to understand where do we stand. The contributions of Frank E Harrell Jr, etc are invaluable. Incidentally I am also trying to work on Credit scoring model and initially I tried to use the multiple regression etc. and now

Hi, I was wondering if I can have some advice on the following problem. Let's say that I have a problem in which I want to predict a binary outcome and I use logistic regression for that purpose. In addition, suppose that my model includes predictors that will not be used in scoring new observations but must be used during model training to absorb certain effects that could bias the

Dear List, The gbm package on Win 7 produces different results for the relative importance of input variables in R 32-bit relative to R 64-bit. Any idea why? Any idea which one is correct? Based on this example, it looks like the relative importance of 2 perfectly correlated predictors is "diluted" by half in 32-bit, whereas in 64-bit, one of these predictors gets all the importance

Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?... Nom : non disponible URL : <https://stat.ethz.ch/pipermail/r-help/attachments/20081014/df8fd0b2/attachment.pl>

(Sorry for obvious mistakes, as I am quite a newby with no Statistics background). My question is going to be what is the gain of logistic regression over odds ratios when none of the input variables is continuous. My experiment: Outcome: ordinal scale, ``quality'' (QUA=1,2,3) Predictors: ``segment'' (SEG) and ``stress'' (STR). SEG is nominal scale with 24

Hi I have used fa() to perform a factor analysis of a psychological battery which is thought to have 11 factors. I can identify which factors the loadings relate to easily enough because I can see which items are loading onto each of the columns in the $loading output. However, how can I identify which items or loadings are being used to create each of the columns in the $scores output? I have

Dear Members, I required to score probability of survival before specified time using fitted cox model on scoring dataset. On the training sample data I am able to get the probability of a survival before time point(t), but on the scoring dataset, which will have only predictor information I am facing some issues. It would be great help for me if you tell me where am I going wrong! Here is the

Sorry for these multiple postings. I solved the problem using na.omit() to drop records with missing values for the time being. I will worry about imputation, etc. later. I calculated the sum of squared errors for 3 models, linear regression, neural networks, and support vector machines. This is the first run. Without doing any parameter tuning on the SVM or playing around with the number of

Dear all, I'm working on ability estimates using Rasch model. Using the "ltm" package, the procedure is quite simple: ## Factor Scores for the Rasch model fit <- rasch(LSAT) factor.scores(fit) What about Partial Credit Model (PCM)? For PCM I use PCM function from eRm package. Is there any similar function like factor.scores to estimate ability scores using PCM model? Best,

Dear users, I'll appreciate your help with this (hopefully) simple problem. I have a model object which was fitted to inputs X1, X2, X3. Now, I'd like to use this object to make predictions on a new data set where only X1 and X2 are available (just use the estimated coefficients for these variables in making predictions and ignoring the coefficient on X3). Here's my attempt but, of

Dear R Help list, My question is regarding extracting the standard error or Z-score from a cph or coxph call. My Cox model is: - modz=cph(Surv(TSURV,STATUS)~RAGE+DAGE+REG_WTIME_M+CLD_ISCH+POLY_VS, data=kidneyT,method="breslow", x=T, y=T) I've used names(modz) but can't see anything that will let me extract the Z scores for each coefficient or the standard errors in the same

Thank you Thierry. I'm trying to following your suggestion in the example below, but getting: Error in get("xs", envir = my.env) : object 'my.env' not found. library(shiny) library(shinydashboard) myApp <- function(x, ...) { xs <- scale(x) my.env <- new.env() assign("xs", xs, envir = my.env) shiny::runApp(app) } app = shinyApp( ui =

6.4.1 Estimation of fixed effects Heterogeneous team ability is a possible explanation for the result in Section 6.3. That result simply indicates that the more goals a team scores, the higher the probability that it will score more. However, teams that can score more goals also indicate teams with greater ability, or just greater scoring ability, than their opponents. As mentioned in Section

Dear Axel, I've used environment for such problems. assign("xs", xs, envir = my.env) in the myApp function get("xs", envir = my.env) in the server function Best regards, ir. Thierry Onkelinx Statisticus/ Statiscian Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie &

Hi, Is there any specific good weight and cap value for Dom-0 which keep more stable the Dom-0? _______________________________________________ Xen-users mailing list Xen-users@lists.xen.org http://lists.xen.org/xen-users

It always helps to check whether you got the data into R correctly. Hint: What does str(credit) tell you? Andy > From: Melanie Vida > > Hi All, > > My question is in regards to an error generated when using > randomForest > in R. Is there a special way to format the data in order to > avoid this > error, or am I completely confused on what the error implies?

Hi netters, I want to learn a decision tree from a series of instances (learning data). The packages tree or rpart can do this quite well, but the scoring functions (splitting criteria) are fixed in these packages, like gini or something. However, I'm going to use another scoring function. At first I wanna modify the R code of tree or rpart and put my own scoring function in. But it

Hello, I have a program called "Evidence Scribe" it runs with .NET Whenever I try to run it I receive this: Code: blake at blake-desktop ~ $ env WINEPREFIX="/home/blake/.wine" wine "C:\Program Files\Idoneum\Evidence Scribe\Evidence Scribe.exe" fixme:gdiplus:GdipGetFontHeightGivenDPI Unhandled unit type: 3 Unhandled Exception: System.InvalidOperationException:

Martin Pelmore, Credit Cards For Students Offer Convenience And Safety Credit cards for students are a great deal for many individuals and groups. Parents will find that credit cards provide a convenient way to provide for their children away at school. Credit cards for students eliminate the necessity of students carrying around a lot of cash to pay for their tuition, fees and miscellaneous

Hi All, My question is in regards to an error generated when using randomForest in R. Is there a special way to format the data in order to avoid this error, or am I completely confused on what the error implies? "Error in randomForest.default(m, y, ...) : Can not handle categorical predictors with more than 32 categories." This is generated from the command line: >