similar to: Cascading Comboboxen and GO button ?

Dear R community, I have a fairly large file with variables in rows. Every variable (thousands) needs to be regressed on a reference variable. The file is too big to load into R (or R gets too slow having done it) and I do now read in line by line with "scan" (see below) and write the results to out. Although improved, this is still very slow... Can someone please help me and suggest

Hello, I''m using find_with_ferret to search multiple models and it works great. The trouble is I need to filter the results using :include and :conditions. I get two errors depending on the syntax I use in the search. Reading the source, I see the retrieve_records method seems to filter the :include and :conditions so that they only apply to the relevant model when searching

Dear helpeRs- I'm using a for loop to create a series of models. I'm trying to assign a name to each model created, using the loop index. The loop gets stuck at the name of the model, giving the error "target of assignment expands to non-language object". The linear model runs without error; only the name is problematic. Here is the current loop syntax. The use of dat

Hi, I have a client connected to the ''net through 3 ISP''s. Have set up a Linux box to do routing and load sharing for the 3 connections. A fourth interface is connected to the LAN with private IP addresses. Am using iptables to SNAT traffic to the appropriate IP depending on the interface the packet gets routed onto. The setup looks something like this: Interface IP

Dear R experts, I've realized that it might not be possible to define a negative SELCET statement in a SQL call so now I'm looking for the smoothest way to generate a list of what I would like from my large database by first pulling all the names with a query like this "SELECT top 1 * FROM your_table" (thank you Bart Joosen for the idea) and then subtract the variables I am not

I have a template that belongs to a certain model (model A). I need to call a helper method of a different model (model B). Then I need the helper method of B to call a helper method of model C. I tried using "include" and "require" and using namespaces, but I got "undefined method". What is the way to do it? -- Posted via http://www.ruby-forum.com/.

Hi all I have been doing series of linear regression models lm(). In this case the execution time and memory usage becomes a huge issue. I have therefore been trying to speed the process and limit the memory usage. Here follows part of the code do give better understanding of what I am doing: modela <- lm(RSSYS10 ~ RS_AGE + RS_AGESQ + SEX + RS_BMI) frssys <-

Dear List, I apologize in advance if this is silly. I tried to replicate an analysis I did previously in SPSS using R, and was surprised to find different results. So my question is: shouldn't the following SPSS syntax REGRESSION DEPENDENT INC89 /METHOD=ENTER hiedyrs experien SE93rec. Yeld the same results of the following R command modelB<-lm(INC89~HIEDYRS+EXPERIEN+SE93REC) I

I use model comparison with glms without mixed effects with anova(modelA,modelB), with mixed effects glm (glmmPQL), this doesn't work. Is there a way to compare model fits with glmmPQL's? Paula M. den Hartog Behavioural Biology Institute of Biology Leiden Leiden University [[alternative HTML version deleted]]

R glmmADMB question I am trying to use glmm.admb (the latest alpha version from the R forge website 0.6.4) to model my count data that is overdispersed using a negative binomial family but keep getting the following error message: Error in glmm.admb(data$total_bites_rounded ~ age_class_back, random = ~food.dif.id, : Argument "group" must be a character string specifying the

Hi folks. If I am indexing ModelA and ModelB and I want to search both of them, I usually just pick one arbitrarily and use it for #multi_search. Is there a slicker pattern, regarding from which model to invoke #multi_search? Can it be invoked directly from the Ferret library? Has anyone put together some sort of "dummy" search class? Thanks for any ideas. John

So, I have 2 models A and B that share 5 common attributes and all other attributes are different. So I wanted to extract these 5 out into one common table and use has_one, belongs_to to knit it back together. So now there are 3 tables with 1 having the shared properties, we''ll call this table C. Table A id dollar_amount Table B id quantity_on_hand Table C id version My question is,

Hi List, I had the pleasure of taking Dr Bob Muenchen's interview for his upcoming book R For SAS and SPSS users. He has spent 27 years in this field while I have spent almost that much on earth. So this is more like a fan blog interview. I thought it would be of use to people curious about R, or even SAS , or SPSS if they have not worked on either of these packages before. Having fought my

Has anyone programmed condition indexes in R? I know that there is a function for variance inflation factors available in the car package; however, Belsley (1991) Conditioning Diagnostics (Wiley) notes that there are several weaknesses of VIFs: e.g. 1) High VIFs are sufficient but not necessary conditions for collinearity 2) VIFs don't diagnose the number of collinearities and 3) No one has

Hi, I have here a problem I''ve been working at for a little while but I can''t seem to get the error messages to appear correctly. My form looks something like this for "ModelA": [errors_for "modelA"] [form for "modelA"] [text "modelA" "fieldname1"] [text "modelB" "fieldname2"] [submit] [/form] The reason

Hi R-users, >From the last week I've been working fitting a linear mixed model with random intercept and fixed shape (model4) for a data set with 37 individuals measured over time, using lme package. Results are at the end of this message. The outcome is score and the covariate is age. My question is: is possible (and how) to estimate both 95% confidence and prediction intervals for the

Hi, I was hoping to get some advice regarding the testing of interactions, when one factor is modelled as a random effect... I have a model with binomial error structure where the response variable is the proportion of time spent at the main sett (animals were tracked for 28 consecutive days in each season, and were recorded either at the main sett or an outlier sett, so the response variable is

Hi all, I have a question regarding the duplication of a model and it''s associations. For example, if I have ModelA and it has_many SubModelAs and has_many SubModelBs associated with it. Each of the SubModels a belongs to ModelA. Is there a quick way of copying ModelA and the structure that lays below it? In the end I''ll then end up with ModelB which is a copy of A, and it has

Hi, I''m looking to add tagging to an application, and I would like to allow self-referential tags, so that I can tag my tags. With the goal of generating a flexible tag hierarchy. After some googling it looks like acts_as_taggable is not the best piece of code, and I''m hoping to use the has_many_polymorphs plugin from http://github.com/fauna/has_many_polymorphs/tree/master.

For some fairly generic views and controller stuff I''d like to have a standard view, say app/views/shared/list.rhtml, and a way to override it per controller, app/views/mymodel/list.rhtml. I think I''ve read of a similar feature before, but I''m not really sure. I may be confusing things with engines and productize. Has someone implemented it for plain Rails apps?