similar to: (a) Credit Scoring models and (b) aceesing earlier emails

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Dear R - help, I am working on the Credit scorecard model. I am using the Logistic regression to arrive at the regression coefficients model. I want to use the Hosmer - Lemeshow test . In order to understand the use of R - language, I had referred the following URL       http://www.stat.sc.edu/~hitchcock/diseaseoutbreakRexample704.txt The related data 'diseaseoutbreak' is available

--- On Wed, 27/8/08, saggak <saggak1908@yahoo.co.in> wrote: From: saggak <saggak1908@yahoo.co.in> Subject: How to learn R language? To: r-help@r-project.org Date: Wednesday, 27 August, 2008, 3:37 PM Hi! I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view

Dear List, I couldn't find any package that performs the "weight of evidence" of predictors (a transformation usually performed in credit scoring applications). Is there any that you know? Thanks, Axel. [[alternative HTML version deleted]]

Hi all, I have 2 models with a standard 1 to many relationship. I''m also using REST on the two models and have added the appropriate code to the routes.rb file. scorecard.rb: class Scorecard < ActiveRecord::Base has_many :attributes end attribute.rb: class Attribute < ActiveRecord::Base belongs_to :scorecard end routes.rb: map.resources :scorecards do |scorecard|

Hi! I am working on scorecard model and I have arrived at the regression equation. I have used logistic regression using R. My question is how do I validate this model? I do have hold out sample of 5000 customers. Please guide me. Problem is I had never used Logistic regression earlier neither I am used to credit scoring models. Thanks in advance Maithili

Hello all, Is there any R package that can develop a scorecard model for a binary target variable? More details: I want to create a scorecard based on the raw data I have. I have a binary target variable and a few numeric and character input variables. I want to bin the variables and assign a score to each of the bins. Each subject will be scored based on the bin it falls in for each

Dear R helpers I have a data frame as given below df = data.frame(A = c(776,827,836,995,855,1026,1203,1363,965,1195),                        B = c(806,953,1049,1056,1243,764,1148,1162,948,1154),                        C = c(959,1155,1193,1163,863,1070,1087,877,1132,944),                        D = c(906,760,978,1170,1009,883,1007,960,828,113)) # Actually the real data has number of vectors and

Apologies if this is in the archive - did look but couldn't find it. Does anyone have any experience of migrating from CommunigatePro to Dovecot? We currently run CGP 5.3.4, supporting a small system (20 or so users, one domain). We've been using it for years, and have a mixed bag of MailDir and mbox folders accessed via IMAP clients. Some users have large mail accounts (15GB total).

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

I don''t have a class by the name of "ReviewersScoreCard", yet my many to many configuration looks as follows. And, these errors while running some simple test with ./script/console is giving me a headache: ./script/console Loading development environment. >> r = Reviewer.find_first => #<Reviewer:0x19d0a48 @attributes={"id"=>"1",

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

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

Hi, I am a doctoral student and I want to have a study about the automated essay scoring system. From some papers the authors mentioned that some experiments of the automated essay scoring study are using the package of the R open source software. I am a new learner of R and I would like to know which package of R can be used to serve this purpose and how to do then. Grateful if you could give me

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

Hi all Is there a way to do adaptive query scoring (as in popular results returned by a query should get more weight because they are getting clicked more often) in xapian? Is this what the rset class should be used for? I could write a php app to do adaptive results scoring for separate words (just recording the clicks and then have a cron:ned script add weight to the document_id:s for the

Hi! I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view e.g. I need to fit distributions to data or run regression analysis etc. No doubt there are so many articles available on internet. But can someone guide me as to how do I begin and go on improving myself

Hi Everybody! I must start with a declaration that I am a sparse user of R. I am creating a credit scorecard using a dataset which has a variable depicting actual credit history (good/bad) and 41 other variables of yes/no type. The procedure I am asked to follow is to use a penalized logistic procedure for variable selection. I have located the package "glmnet" which gives the complete

Dear useRs from the physiology department, Does someone know of an implementation of the SF-36 questionnaire scoring in R? I only found SAS and STATA versions, e.g http://gim.med.ucla.edu/FacultyPages/Hays/util.htm Dieter

Dear R users, Recently, I am learning by myself to do factor analysis with R. Could some one guide me how to calculate 'factor scoring coefficients' or obtain 'factor scores' with the results from principal( ) or factor.pa( ) function in psych package? In SAS, it can be done with option "SCORE" by PROC FACTOR procedure. Many Thanks. felix