similar to: Arrays of Model Objects, Intersections, Object Identification... ?

HI all, I''ve got a migration that creates a few new tables and populates a bunch of data into those tables from existing models. It works great. As expected. Tables are created. Relationships are made. Everything comes out fine as far as the data goes. But for some reason the migration task ends with this error: rake aborted! negative argument I''ve liberally sprinkled my

Rails SQL Views 0.5.0 is now available from http://rubyforge.org/frs/?group_id=2435&release_id=8685 and shortly as a Gem (gem install rails_sql_views). More information on Rails SQL Views can be found at http://activewarehouse.rubyforge.org/rails_sql_views/ This release finally fixes the SchemaDumper issues, including the necessary select statement for the view. It also introduces PostgreSQL

I''m actually looking to create my own markup language, after a look to the greats markdown and textilize markup languages they seem to be more complexes that what I need, so not feating with my application. Any help is welcome ;-) -- Grosjean S?bastien

i want to do a market basket analysis and I?m trying to create a dataset for that i have two tables, one table contains daily transaction of products in which each row of table shows item purchased by the customer, The second table contains parent group under those products are fallen, for example under fruit category there are several fruits like mango, banana, apple etc. i want to create a third

I'm attempting to pass a string argument into the function randomForest but I get an error: state <- paste(list("fruit ~", "apples+oranges+blueberries", "data=fruits.data, mtry=2, do.trace=100, na.action=na.omit, keep.forest=TRUE"), sep= " ", collapse="") model.rf <- randomForest(state) Error in if (n==0) stop ("data(x) has 0

Hello, I'm very much a newbie in R and more so in tcltk so apologies if this question is stupid. Basically I am trying to use the combobox example found here: http://bioinf.wehi.edu.au/~wettenhall/RTclTkExamples/DropDown.html . What I want to do is in that example get fruitChoice as a variable in R in general. When I run that code, however, and the ask for fruitChoice it says

by using these two tables we have to create third table in this format where categories will be on the top and transaction will be in the rows, On 30 August 2017 at 16:42, Hemant Sain <hemantsain55 at gmail.com> wrote: > Hello Ulrik, > Can you please once check this code again on the following data set > because it doesn't giving same output to me due to absence of quantity,a

dear group, i have a data matrix with some replicate items with different values. I want to extract the row with max value. for example: > x fruit weight 1 apple 1.3 2 apple 1.5 3 apple 1.6 4 orange 1.4 5 orange 1.6 x is a data frame. I want to extract unique items from fruits that has max weight. that is: 3 apple 1.6 5 orange 1.6 I want to be able to use

Does anybody use and prefer Redcloth (or bluecloth, which appears to be alpha)? Does it affect performance much? Is there a way to get it to automatically process templates without having to call textilize? Thanks, Joe -- Posted via http://www.ruby-forum.com/.

Hi everyone. I am trying to add a formula to my data using the groupedData function. My experiment consists of randomized block design using fruits, vegetation and time as factors. The idea is to see if fruits, vegetation and time explain the abundance of mice. I am using tree density as a covariate. So I tried to fit the following structure to my data. >

Hi Hemant, the solution is really quite similar, and the logic is identical: library(readr) library(dplyr) library(stringr) library(tidyr) data_help <- read_csv("data_help.csv") cat_help <- read_csv("cat_help.csv") # Helper function to split the Items and create a data_frame split_items <- function(items){ x <- items$Items_purchased_on_Receipts %>%

Hello Ulrik, Can you please explain this code means how and what this code is doing because I'm not able to understand it, if you can explain it i can use it in future by doing some Lil bit manipulation. Thanks data_help <- data_help %>% mutate(Purchase_ID = 1:n()) %>% group_by(Purchase_ID) %>% do(split_items(.)) cat_help %>% gather("Foo",

Hi, I have a data set look like this: ================================= Fruit Quty apple 20 banana 10 orange 17 apple 30 apple 15 orange 26 banana 15 .........and so on .......... ================================= The level of fruit is 30, that is, there are 30 different fruits. I'd like to compute some simple statistics for each different fruit and get output like this:

Hi, I have been struggling with this problem for some time now. Internet, books haven't been able to help me. ## I have factorial design with counts (fruits) as response variable. > str(stubb) 'data.frame': 334 obs. of 5 variables: $ id : int 6 23 24 25 26 27 28 29 31 34 ... $ infl.treat : Factor w/ 2 levels "0","1": 2 2 2 2 1 1 1 2 1 1 ... $ def.treat :

dear list, thanks for the great fruit speed-improvements. but... server config: debian 8 jessie sernet samba 4.2.2 packages here we see a problem that might not only be fruits problem but results in macosx 10.9.5 crashing with a kernel panic when saving from adobe illustrator cc or cc 2014: (does not happen when saving from photoshop cc or cc2014) Kernel Extensions in backtrace:

Dear All, I've tried to sum columns -- different species of flowers, fruits plus twigs -- with NAs to get litterfall/trap, and then after use litterfall to calculate production (litterfall (grams)/ hectare/ day. But R 'sees' litterfall/trap as a string. My question: How to use basic mathematical functions to deal with NAs in data management. Example (as you can note I have many

Hello everyone, I have the following problem: My analysis includes many predictor variables (>50) in the form of raster maps (asc), but I am trying to avoid having to type all their names over and over again in the analysis (e.g. for vectorisation, for deletion of NA's, etc.) So ideally I would like to store them in some way that their names only have to be typed once and can always

dear group, i have 100 files starting with 'hsa-*'. ex. file: fruit p-value ------------ apple 0.0003 orange 0.004 kiwi 0.0003 peach 0.0004 I want to read all these files and create a single matrix. here each file may have different fruit names. in the matrix i want to have a union of all fruits and those should be the rows in the matrix and file names should be columns.

First I would like to say thank you for taking the time to read it.Here is my problem. I am running a lmer analysis for binary longitudinal (repeated measures) data. Basically, I manipulated fruits and vegetation to two levels each(present and absent) and I am trying to access how these factors affect mice foraging behavior. The design consist of 12 plots, divided in 3 blocks. So each block

Hey PIKAL, It's not a homework neithe that is the real dataset i have signer NDA for my company so that i can share the original data file, Actually I'm working on a market basket analysis task but not able to convert my existing data table to appropriate format so that i can apply Apriori algorithm using R, and this is very important me to get it done because I'm an intern and if i