similar to: ActiveRecord in modules & associations

Hi, I cannot seem to create associations like this: class Project < ActiveRecord::Base belongs_to :manager, :class_name => ''User'', :foreign_key => ''manager'' belongs_to :liaison, :class_name => ''User'', :foreign_key => ''liaison'' end p = Project.new p.manager => 1 trying to retrieve associated objects

Hello everyone, first post to the list and a relative newbie to Rails development. Done quite a bit of JSP, PHP, HTML, XML etc and thought I would kick the tires on Rails to see if it can speed up development for internal applications. Anyway, I am running into a problem that is just driving me crazy and everything I read on the net doesn''t seem to help. I was hoping someone here might

Hello. I''ve read about examples on inheritance with rails. Here is an example: http://juixe.com/techknow/index.php/2006/06/03/rails-single-table-inheritance/ The way is to add a type field in the table. So if I have an Animal class with an attribute name, I can inherit from this class like: Dog < Animal, Cat < Animal, and so on. With the type field in the table I can do Dog.all,

Hi All, I'm conducting a meta-analysis and have taken a data.frame with multiple rows per study (for each effect size) and performed a weighted average of effect size for each study. This results in a reduced # of rows. I am particularly interested in simply reducing the additional variables in the data.frame to the first row of the corresponding id variable. For example:

I need to make nonlinear regression with the posterior script, but how is the problem? I have error in library (nls), package 'nls' has been merged into 'stats'. I need help? What other forms I have to make nonlinear regression? and how I find to calculate statistics y residuals, scatterplot. thanks SCRIPT ros<-read.table("Dataset.csv",header=T,sep=",")

Hello, I'm a complete newbie to R so sorry if this is too basic..:-S I have to modify some scripts someone else did to make it work with my data. For some reason, one of the scripts which were supposed to work is not, and I get the error message "number of items to replace is not a multiple of replacement length". The script is this one: *open_lpj_nc_gpp <-

Hi All, I am interested in aggregating a data frame based on 2 categories--mean effect size (r) for each 'id's' 'mod1'. The 'with' function works well when aggregating on one category (e.g., based on 'id' below) but doesnt work if I try 2 categories. How can this be accomplished? # sample data id<-c(1,1,1,rep(4:12)) n<-c(10,20,13,22,28,12,12,36,19,12,

I tried the following ordered logistic regression in R: mod1 <- polr(altitude~sp + wind_dir + wind_speed + hr, data=altioot) But when I asked The summary of my regression I got the folloing error message: > summary (mod1) Re-fitting to get Hessian Error in optim(start, fmin, gmin, method = "BFGS", hessian = Hess, ...) : the initial value of 'vmin' is not

Hi, I am trying to overwrite the accessor of a has_many association. Basically my class looks like this: class Person has_many :emails has_one :link, :class_name => ''PersonProxy'' def emails_with_link link.emails + emails_without_link end alias_method_chain :emails, :link end Now that works fine if I only access the collection like >>

I have a model: mod1<-lmer( x ~ (1|rtr)+ trth/(1|cs) , data=dtf) # Here, cs and rtr are crossed random effects. cs 1-5 are of type TRUE, cs 6-10 are of type FALSE, so cs is nested in trth, which is fixed. So for cs I should get a fit for 1-5 and 6-10. This appears to be the case from the random effects: > mean( ranef(mod1)$cs[[1]][1:5] ) [1] -2.498002e-16 > var(

Hi All, I am interested in creating a function that will take x number of lm objects and automate the comparison of each model (using anova). Here is a simple example (the actual function will involve more than what Im presenting but is irrelevant for the example): # sample data: id<-rep(1:20) n<-c(10,20,13,22,28,12,12,36,19,12,36,75,33,121,37,14,40,16,14,20)

Hello,   I am using mod1 <- lrm(y~x1+x2,na.action=na.pass,method="lrm.fit") summary(mod1) and I've got the following error: Error in summary.Design(mod1) : adjustment values not defined here or with datadist for x1 x2   Many thank, Amor [[alternative HTML version deleted]]

Today I face with incorrect behavior in ActiveRecord. It take place when I try to use :include parameter for .find method. Where are two typical cases: 1. You have record with self-referential joins CREATE TABLE keywords (id, group_id); class Keyword < ActiveRecord::Base belongs_to :group, :class_name => "Keyword", :foreign_key =>

I'm trying to classify some observations using lda and I'm getting a strange error. I loaded the MASS package and created a model like so: >train <- mod1[mod1$rand < 1.7,] >classify <- mod1[mod1$rand >= 1.7,] >lda_res <- lda(over_win ~ t1_scrd_a + t1_alwd_a, data=train, CV=TRUE) That works, and all is well until I try to do a prediction for the holdouts:

Hi All, I am interested in printing column names without quotes and am struggling to do it properly. The tough part is that I am interested in using these column names for a function within a function (e.g., lm() within a wrapper function). Therefore, cat() doesnt seem appropriate and print() is not what I need. Ideas? # sample data mod1 <- rnorm(20, 10, 2) mod2 <- rnorm(20, 5, 1) dat

Hi all and thanks for your time in advance, I can't figure out why summary.lmrob complains when lmrob is used on a zooreg object. If the zooreg object is converted to vector before calling lmrob, no problems appear. Let me clarify this with an example: >library(robustbase) >library(zoo) >dad<-c(801.4625,527.2062,545.2250,608.2313,633.8875,575.9500,797.0500,706.4188,

I have several tables for enumerations. They all have the same content: id, name, position. I''d like to avoid the tedious work of defining a class for each one explicitly. Not least, in order to avoid clutter in the model directory. Here''s what I''ve come up with: class EnumRecord < ActiveRecord::Base def self.define_enums(*enums) enums.each do |spec|

hello. help with effects plots. here's the last bit of code before running the model and then the effects, then the error. nor.dem <- norway$v162 ## nor.dem is my DV & it is continuous. nor.dem <- as.numeric(nor.dem)-5 str(nor.dem) (i had to do a great deal of coding here so i am snipping down to the end) tmp[which(norway$v128 == "trust completely" & norway$v127

Hi, I''m still test driving the improved support for module namespaces in rails and I''ve hit a problem with associations between AR classes in modules and AR classes in the root namespace. The long and short of it is I want to be able to say: Foo::Bar.belongs_to :wibble, :class_name => "::Wibble" If you don''t try to prefix ''Wibble''

Hopefully the attachment will make it this time... Hi: I am practicing with the attached shapefile and was wondering if I can get some help. Haven't used 'rgdal' and 'maptools' much but it appears to be a great way bring map data into R. Please take a look at the comments and let me know if I need to explain better what I am trying to accomplish. library(rgdal)