search for: criterias

Hello, I've got a problem in a sql query! for(j in 1:length(criteria$Title)) { graphe_par<-sqlQuery(channel,"select q.type,crit.Title, r.Value from criteria crit, reply r,question_reply qr, question q, question_criteria qc, form_question fq where qr.reply=r.ID and qr.question=q.ID and qc.question=q.ID and crit.ID=qc.criteria and fq.question=q.ID and fq.form=4 and

Dear R helpers, I have some difficulties in using ''break'' function with loop, and the followings are my script. What I try to do is (1) permute ''or'' first; (2) doing t-test if this ''or'' pass criteria 1 (k=1); (3) end the loop when I get 10 permutations; (4) redo everything again but this time use criteria 2 (k=2) (I have more criteria 1:n).

I am looking at using acts_as_versioned to manage revisions of data in several tables in my application. However, the default behavior of acts_as_versioned appears to apply to individual rows within a table. The tables I want to version are complicated lookup tables and what I really want is to version the entire contents of each table as a single set. Adding a row, deleting a row, or updating

I would like test AICc as a criteria for model selection for a glm using stepAIC() from MASS package. Based on various information available in WEB, stepAIC() use extractAIC() to get the criteria used for model selection. I have created a new extractAIC() function (and extractAIC.glm() and extractAIC.lm() ones) that use a new parameter criteria that can be AIC, BIC or AICc. It works as

Dear all, I found a bug in the which() function. When trying to remove elements with the which function, if the criteria is not matched, numeric(0) is returned instead of the array itself. This is very weird. > a = c(1,2,3,4,5) > a[!a==6] [1] 1 2 3 4 5 > a[-which(a==6)] numeric(0) > a[-which(a==5)] [1] 1 2 3 4 > a[!a==5] [1] 1 2 3 4 Is this correct? I believe this is a bug. I

Hi, Suppose I have the following data name     score Abel        88 Baker      54 Charlie    77 stored a  table called myData. I want to write a function that will create a table which is a subset of myData containing those have a score > 75. I know I can do this with the following command: subset(myData, score > 75) But I would like to do this via a function, something like:

Hello again, Ley say I have 1 matrix and 1 data frame: > mat <- matrix(1:15, 5) > match_df <- data.frame(Seq = 1:5, criteria = sample(letters[1:5], 5, replace = T)) > mat [,1] [,2] [,3] [1,] 1 6 11 [2,] 2 7 12 [3,] 3 8 13 [4,] 4 9 14 [5,] 5 10 15 > match_df Seq criteria 1 1 c 2 2 e 3 3 c 4 4 c 5

Hi All I am trying to implement a Back to Search Results functionality, by storing the user''s search criteria (params) in session and then reusing those params instead of request params when user clicks on "Back to Search Results link". here is my code ________________________________________________________________________ def search if session[:incidentSearch].nil? or

Hi, I would like to compare 2 lists resulted from a sql query! bu there are different levels, so when I want to do: release1<-sqlQuery(channel,paste("select distinct c.ID,c.Title TitleCrit from category cat, category_criteria cc, criteria c, question_criteria qc, question q, form_question fq, form f, release_form rf, release r, product_release pr, product p where cat.ID=cc.category and

Hi, I'm splitting this discussion off of my RFC for release process changes. We currently have no official release qualification criteria. In other words, we don't have any blocking tests that need to pass in order to make a new release. We do time-based releases, which is not always compatible with having quality-based criteria for tagging a final release. So, I think another way to

Hi all Is there a list of criterias for a 1.0 release of Wine? I couldn't find one. I was looking in the developers mailing list. But there's only a collection of bugs that must be fixed. An important question for me is: How many native DLLs will be accepted for a 1.0 version? I don't get the point that installing _mu...

As we begin designing the proposed validation process, we should think about what the criteria for a successful validation should be. In the initial proposal I suggested the "make check" on llvm should pass as should the tests in llvm-test. According to Tanya, not all of llvm-test passes. Do we have a sense of how far away from a full passing llvm-test we are? I also know that a

Howdy y'all, I am looking to use the match function to match a data attribute to another data frame but i need it to do so on two criteria to ensure an appropriate match. The following matches incorrectly. I know the example looks pointless but its just an example. Perhaps there is another way of doing this? Thanks #Sample Data Props<-c("p754921","p754921"

Dear R Users, I have created a 1500 x 20000 data frame - DataSeq. Each of the 1500 rows represents a data sequence. I have another data frame iData that stores the information of these 1500 data sequences in the same order, for example, condition, gender, etc. If I use "subset" to select certain groups within iData according to some criteria that I have set, e.g. condition, gender Then

Hello, I'd like to clarify a few points on how the release process works. Each release must satisfy the following criteria for each supported target: * LLVM-GCC & LLVM must build in both release and debug mode. They must also build srcDir != objDir. LLVM-GCC must build with support for c, c++, fortran, and obj-c/obj-c++ (Mac only). * LLVM-GCC must bootstrap. * "make check"

Hi, Is there any package for logistic model selection using BIC and Mallow's Cp statistic? If not, then kindly suggest me some ways to deal with these problems. Thanks. -- View this message in context: http://www.nabble.com/Stepwise-logistic-model-selection-using-Cp-and-BIC-criteria-tf4464430.html#a12729613 Sent from the R help mailing list archive at Nabble.com.

Dear List, I am struggling with the following problem. Suppose I have the following data.frame: coord<-expand.grid(x=1:10,y=1:10) and I want to extract the row numbers of those matching the criteria defined by the following data.frame: choice<-data.frame(x=c(2,1,2),y=c(1,2,2)) the result should return in this case: 2,11,12 All I managed to do is the following: which(data

given an Arra tags[] I need to produce a resulting Hash as following .. { "$in" => [tags[0]], "$in" =>[tags[1], ...} in which the key should be always the same and the value being an Array I tried this : myHash = {} tags.each do |tag| h = {"$in" => [tag]} myHash.merge!(h) end but the merge! is only

Hello, Is there a function in R by which one can run AR model with Bayesian Information Criteria (BIC)? To my knowledge, functions ar and ar.ols could select the order only by AIC. Thanks, Miao [[alternative HTML version deleted]]

> If we had a larger set of volunteers that could help qualify releases AND buildbots to continuously test the new release criteria, then we are willing to expand this criteria. We haven't had a lot of volunteers step up in this area though. I don't much like the idea of doing a release with so many buildbots down... Ciao, Duncan.