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I would like to have a table with some constants to use them later on for a drop down menu. How can this be done? My table looks like Table with constants ------------------------ id | key | value | type ------------------------ 1 | M | Male | sex .... I know it can be done like this <% select ''object'', ''method'', Constants.find(:all, :select =>

In the book there is an example how to convert DB payment value to more readable from. PAYMENT_TYPES array is defined and then in your views you can use it as Order::PAYMENT_TYPES. The problem is: how should I convert DB values (for example with type char(1)) to full string representation. I know that I can add a Hash to a model: IM = {''S'' => ''Skype'',

I''m looking at an application that has 30+ lookup tables. By that I mean your typical (id, description, created_on) affairs that contain locations, zip codes, contract types and what not. Things that rarely change, and are maintained by administrators. It''s well known that when you have many lookup tables in the schema, eager loading is not good enough anymore, and you need to

I am trying to write a plugin, ''acts_as_commentable'', for my models - Image, Book, Music and so on, I do not want to use polymorphic association, so very model should have its own comment class. Here is my code acts_as_commentable.rb module Commentable def self.included(base) base.extend(ClassMethods) end module ClassMethods def

This is more of a design issue I''m wrestling with, and was wondering what other people are doing. I have a products table with status values of In Stock, Out of Stork or Discontinued. This is unlikely to change any time soon. Approach A, is to have thses actual values in the status column, at least the meaning is very apparent, yet querying for products with a specific status could

Dear Wizards - Thank you so much for your help. That was exactly what I was looking for. Now, I have been working on conditional selection of columns in a data frame. My goal is to calculate the total revenue per sales representative per status in a table. I have come to a complete stop: Let's say, we have a data.frame called df with several columns and a number of rows: df <-

Hi, While doing the ADF test in R using the following command I am getting the error and the result.."> x.ct=ur.df(rev$REVENUE,start=1,end=length(rev$REVENUE),frequency=1) Error in ur.df(rev$REVENUE, start = 1, end = length(rev$REVENUE), frequency = 1) : unused argument(s) (start = 1, end = 4, frequency = 1) >

Dear R Helpers, I have a list that contains a number of objects, each of them financial statement data from quantmod (although I don't think that knowledge of quantmod is necessary to help with this problem). > str(listfinobj) chr [1:4815] "A.f" "AA.f" "AACC.f" "AAME.f" "AAN.f" "AAON.f" "AAP.f" "AAPL.f"

Apologies first, because I need to ramp up on Ruby and coding Ruby in Rails, however it''s my 3rd day with this beast :) so I''m asking : When I added protected methods to the model before it was like: protected method.................... end Would this be a valid way to write a protected method as well ?: attr_protected :column1, :column2 Perhaps this particular call

Hello, 1) Is there any nonlinear programming optmizer that I can user for the following problem? Obj function: (max) revenue = price * volume Constraints: price and volume pair must be from the following variable data set: Variable data set: # price volume 1 10 500 2 20 450 3 30 330 4 40 250 5 50 190 Expected result: 10,000 (variable row#4) 2) Could it also be possible for the suggested

sample report data that i want to forecast quarter quarter_index Revenue 2007 Q1 1 $3,856,799 2007 Q2 2 $4,243,328 2007 Q3 3 $4,930,369 2007 Q4 4 $5,443,579 2008 Q1 5 $5,164,830 2008 Q2 6 $5,104,413 2008 Q3 7

sample report data that i want to forecast quarter quarter_index Revenue 2007 Q1 1 $3,856,799 2007 Q2 2 $4,243,328 2007 Q3 3 $4,930,369 2007 Q4 4 $5,443,579 2008 Q1 5 $5,164,830 2008 Q2 6 $5,104,413 2008 Q3 7

>library(RODBC) >ch<- odbcConnect("durga") > sqlQuery(ch, paste("SELECT * from emp")) >sqlQuery(ch, ("SELECT * from xyz")) store revenue year_y 1 bigbazar 787875 2008 2 more 87876 2008 plot(revenue ~ year_y, data=xyz, pch=16) can i get any diffrent types of graphs like pie charts, bar

On 5 October 2011 00:19, Chris Lattner <clattner at apple.com> wrote: > 1. The native client folks trying to use LLVM IR as a portable representation that abstracts arbitrary C calling conventions.  This doesn't work because the frontend has to know the C calling conventions of the target. (...) > 2. The OpenCL folks trying to turn LLVM into a portable abstraction language by

Hi, in the past few months someone posted an entry on their blog about how to do validations in non-AR classes and I cant find it any more. Anyone have a link? Thanks, Trevor -- Trevor Squires http://somethinglearned.com

Hello All, Any one using acts_as_enumerated? I need help using (I like that it caches values in memory) I am working on a dating website and there are lots of options I want to store as enumerated like Status; divorce, single, Sex: male, female Eye color; blue, brown, green.... and lots more.... But I do not wanna keep them in seperate tables, and wanna keep them all together. Anyone has a

Sincerely, Jeffrey Todd Lins Executive Director Quantitative Analysis Saxo Bank A/S (Sent from my BlackBerry) ----- Original Message ----- From: r-sig-finance-bounces at stat.math.ethz.ch <r-sig-finance-bounces at stat.math.ethz.ch> To: r-help <R-help at stat.math.ethz.ch>; r-sig-finance at stat.math.ethz.ch <r-sig-finance at stat.math.ethz.ch> Sent: Wed Apr 02 06:49:54 2008

On Oct 4, 2011, at 4:42 PM, Renato Golin wrote: > On 5 October 2011 00:19, Chris Lattner <clattner at apple.com> wrote: >> 1. The native client folks trying to use LLVM IR as a portable representation that abstracts arbitrary C calling conventions. This doesn't work because the frontend has to know the C calling conventions of the target. > (...) >> 2. The OpenCL folks

I have a dataframe df <- df <- data.frame (Revenue = c("100", "300", "500"), Brand = c("Apple", "HP", "Lenovo") ) how can i create a vertical barplot that displays brands in x-axis and Revenue in Y-axis [[alternative HTML version deleted]]

Dear all, how can I perform a post hoc analysis for ANOVA with repeated measures (in presence of a balanced design)? I am not able to find a good example over internet in R...is there among you someone so kind to give me an hint with a R example please? For example, the aov result of my analysis says that there is a statistical difference between stimuli (there are 7 different stimuli). ...I