similar to: possible rails -> postgresql bug

Can someone explain why form helpers appear to bypass any model methods I override for fields that are bound to database fields? It would be great if someone could tell me how to force the form field, etc to call the method instead of looking at the database / attributes collection. Let''s say I have a column called ''price'' in my database table "books"

I have in my view the following: <% 0.upto(@num_performances) do |idx| -%> <%= text_field ''performance'', ''city'', :index => idx, %> <%= text_field ''performance'', ''venue'', :index => idx, %> <% end -%> and in my controller I have: @performance = [Performance.new("city" =>

I have a table with "expires_on" a DATE field. "Show" and "Destroy" work, but "Edit" errors: /usr/local/lib/ruby/gems/1.8/gems/actionpack-1.11.2/lib/action_view/helpers/date_helper.rb:150:in `select_hour'' /usr/local/lib/ruby/gems/1.8/gems/actionpack-1.11.2/lib/action_view/helpers/date_helper.rb:149:in `select_hour'' It only happens when

I have AMOUNT field that ActiveRecord maps to Float. Then I use text_field helper to generate text inputs on forms. Helper takes model object and attribute name and does not provide any formatting abilities, thus 2.40 is shown as 2.4 which is fine with floats but does not look good with currency. I have worked around this issue by adding amount_f attribute to the model that returns formatted

All, This is really starting to get me as i can''t figure out why I am getting this error. Here is what is going on. I have a table called items and a item controller. When I add a new item to the items table I am also creating several associated tables. the code for this so that you can follow along is: def create @item = Item.new(params[:item]) # The item belongs to

I have a Postgres database that I am connecting to with the Postgres ODBC driver on Windows XP in R 2.1.0. In the database is a database with two schemas (public and X). With RODBC (1.1-4) , I can connect to the database and get the tables with sqlTables(db). I can query tables in the schema with sqlQuery("SELECT * FROM X.test"). However, I can't get the columns in table X.test

I want to build an application that lets me (the end user accessing a web page) design a simple list with columns and add records. E.g., if the end user says I want a table that has a list of songs, he can create a list (title, date, artist, label) and then make another list of, e.g., books on his bookshelf with the necessary columns (title, author, pub_date, shelf). The end user

The TIMSS2007 database http://timss.bc.edu/TIMSS2007/idb_ug.html seems to provide "both kinds" of universal data formats - either SPSS saved data sets or SAS saved data sets. (Yes, I am being sarcastic.) These, of course, are accompanied by massive codebooks explaining the nature of each of the fields in the data sets. The T07_Codebooks.zip file available at that site contains .pdf

Hi Everyone, I often use the 'safe prediction' feature available through glm(). Now, I'm at a situation where I must use biglm:::bigglm. ## begin example library(splines) library(biglm) ff <- log(Volume)~ns(log(Girth), df=5) fit.glm <- glm(ff, data=trees) fit.biglm <- bigglm(ff, data=trees) predict(fit.glm, newdata=data.frame(Girth=2:5)) ## -1.3161465 -0.2975659

I am trying to run an ancova and am having trouble setting it up properly. I have nearly 10,000 measurements of fish length, girth and stage of sexual development. I am suspicious that the stage of development is affecting the length (as they get full of eggs they get more round and are more difficult to measure and measure shorter). My data looks somethign like this: Length girth stage 40 50

Dear all, The 'make check' step fails for the pacakge mva on IBM AIX. The tail of the Rout log file looks like: > for(factors in 2:4) print(update(Harman23.FA, factors = factors)) Call: factanal(factors = factors, covmat = Harman23.cor) Uniquenesses: height arm.span forearm lower.leg weight 0.170 0.107 0.166

I want to use the caret package to train linear models. I want to compare these models when using different degrees (aka degrees of interaction). This is possible for the 'earth' method (using the '.degree' parameter) but I found no possibility of customizing the degree for the 'lm' method. This might be due to the fact that the basic 'lm' function does not support

I want to use the caret package and found out about the timingSamps obtion to obtain the time which is needed to predict results. But, as soon as I set a value for this option, the whole model generation fails. Check this example: ------------------------- library(caret) tc=trainControl(method='LGOCV', timingSamps=10) tcWithout=trainControl(method='LGOCV')

Hello! I''ve modified ActiveRecord a bit to support enum columns. This is tested only with MySQL, and maybe needs some changes for other adapters (if they use another syntax or quoting style). I believe this patch should be tested well, so I haven''t (yet) tried to post it to the official Trac. It is also not solid-as-a-rock when it comes to quoting ENUM values. After

Hi everybody, My name is Jackson and come here ask for a help to organize data. I really need help from you. I have several data sets to organize. I have to summarize precipitation data collected in different days and months in only one table. However, those data are disperse in days and times. Those rainy days have a more observations than drought ones. Below you can find a hypothetical

Hy, I got the following problem when trying to build a rpart model and using everything but LOOCV. Originally, I wanted to used k-fold partitioning, but every partitioning except LOOCV throws the following warning: ---- Warning message: In nominalTrainWorkflow(dat = trainData, info = trainInfo, method = method, : There were missing values in resampled performance measures. ----- Below are some

This is pretty badly mangled (please don't post in html), but ?aggregate is probably what you want. Sarah On Sun, Jun 25, 2017 at 5:27 PM, Jackson Rodrigues <jacksonmrodrigues at gmail.com> wrote: > Hi everybody, > > My name is Jackson and come here ask for a help to organize data. > I really need help from you. I have several data sets to organize. > > I have to

I have a Field class: class Field < ActiveRecord::Base belongs_to :field_type end with it''s table: fields: id field_type_id name ordering every field has a type class FieldType < ActiveRecord::Base end stored in the field_types table field_types: id name class_name for each field type, there''s a subclass of Field that do whatever special

In a rather simple regression, I?d like to ask the question, for high trees, whether it makes a difference (for volume) whether a three is thick. If my interpretation is correct, for low trees, i.e. for which trees$isHigh == FALSE, the answer is yes. The problem is how to "merge" the standard errors. Code follows. data(trees) trees$isHigh <- trees$Height > 76 trees$isThick

The "earth" package is now available on CRAN. Earth builds models using Friedman's MARS. Earth's principal advantages over the existing function mda::mars are that it is much faster and provides plotting and printing methods. The general purpose model plotting function "plotmo" may also be useful to people who are not interested in earth itself. Example: > a