search for: variates

Hello, I'm a new user of R. I've a very big table like the following structure (suppose the variable name with "aa"). From this table I want to make a new table which'll contain just two column with V2 and V6 with some particular rows( Suppose, variable name with "bb"). I'd like to mention V2 column is representing the id that correspond to the column V6 whis

Hi all, I am having a lot of trouble to get the default value of text fields when they are generated by a partial from a collection. I have been on this for a whole week and I didnt find a single exemple on the internet of someone using a partial that generate text field with a default value. I cant believe that I am the only one having this problem. Anyone has an exemple they can show me?

Hi, I have two model classes; Tune and Title and they are joined in a many to many relationship through a Variation class. Here''s some stub code of the models: class Tune < ActiveRecord::Base has_many :variations, :dependent => :destroy has_many :titles, :through => :variations ... class Title < ActiveRecord::Base has_many :variations, :dependent => :destroy

Hi Railers, Does anyone have any guidance on setting up a simple way to handle product variations (e.g garment size/color)? Initially, I had thought that I would make a variation model which defined the extra bits, but it seems quite inflexible especially so if a store were to sell non-clothing items that also had variants of one flavor or another. product has_many variations title

Hi, I am having troubles to figure out how to move from one record to the other without using <find_by_sql> or other ugly tricks. So far, I have managed to do a lot of stuff without it but I decided that I need to learn how it works this weekend! So I need your help to figure that out... I have the following 4 models: class Client < ActiveRecord::Base has_many :client_variations

Dear R-help members, Apologies for the trouble. I have a question : Essentially, I have a dataset which stores genetic variations for individual patients. Each individual patient can have more than one variation, and each new record corresponds to a new variation (thus, both individual patients and variations are non-unique). So the dataset looks something like this ((letters = patients,

...lmost everything I want except the red rectangle should be aligned flush with square. There's something I haven't understood about the grid.layout function. The second time I use it, it does what I expect, but there's something wrong with the first one. require(grid) N <- 5 variates <- LETTERS[1:N] grid.newpage() plot.square <- 2 * length(variates)# cm text.wid <- 3 # cm vp <- grid.layout(nrow = 1, ncol = 2, widths = c(text.wid, plot.square), heights = plot.square, default.units = "cm") pushViewport(viewpo...

I''m experiencing some unexpected weirdness with acts_as_tree. class Category < ActiveRecord::Base acts_as_tree has_many :variations end def variations # some code that returns the parent category variations if we have none end >> pc = Category.new >> pc.variations << "foo" >> pc.save >> cc = Category.new >> cc.parent = pc >>

Dear all, I would like to generate bi-variate normal data given that the first column of the data is known. for example: I first generate a set of data using the command, x <- rmvnorm(10, c(0, 0), matrix(c(1, 0, 0, 1), 2)) then I would like to sum up the two columns of x: x.sum <- apply(x, 1, sum) now with x.sum I would like to generate another column of data, say y, that makes

Hi, I have this controller method that I need to test: def link_concept_to_client concept_to_link = Concept.find(params[:concept_id]) # take all the variations for the concept for variation in concept_to_link.variations new_client_variation = ClientVariation.new new_client_variation.client = session[:active_client] new_client_variation.variation = variation

Hi, here is my situation. I have this controler action: ---------CONTROLER-------- def list @variations = Variation.find(:all, :conditions =>["client_id = ?", @active_client.id] ) end ---------CONTROLER-------- Which call this view (removed irrelevant parts): ----------LIST.RHTML--------------

Hello everyone Is there a function/command to simulate from "matrix variate normal distribution" in R. A follow up question would be is there a function/command to obtain the density, distribution and quantile function of "matrix variate normal distribution" in R. Wikipedia has a good description of "matrix variate normal distribution" which is also alternatively

Hello R-helpers, I need to generate standard variates normal to 'create' chi-squared variates. To make you more understand, (1)   a<-rnorm(3,0,1) *after do (1), I need to squared and summed the three values. My problem is, how am I going to continue the programming if I had to repeat the process for 15 times, which in the end I will get 1...

Dear R user, I have written a function which returns max,min and variation of a power (see below) Power is a given matrix(1,n) I call the function >Variation<-VAR(p,(n-deltat)) Now the problem is when I want plot(Results[1],Results[2]). Not possible! I become the following error (in english it means: Error in as.double.default(x) :Object cannot be transformed in double) >

Hi list I am a new user of R. I ask for some "beginner" question I am searching if there is any function that computes the variation of some discrete values of a vector (mean() and sd() exists, but i have not find variation). Thanks in advance Adel -- PhD candidate in Computer Science Address 3 avenue lamine, cité ezzahra, Sousse 4000 Tunisia tel: +216 97 246 706 (+33640302046

Hi, I was recently plowing through the docs of the quantreg package by Roger Koenker and came across the total variation penalty approach to 1-dimensional spline fitting. I googled around a bit and have found some papers originated in the image processing community, but (apart from Roger's papers) no paper that would discuss its statistical aspects. I have a couple of questions in this

Hi there, I have a question for using "lme". Say, I have 6 data points and they belong to six groups (one group factor). So there is no replicates for each group and I cannot separate the with-in group variation from the between group variation. But when I try to use "lme" to deal with it, it gave the answers for both with-in group variation and the between group

Hi I have estimated a hazard function using a kernel based method. Now i have to generate a random variate that follows this hazard function. Does any one know method I should use to generate the variate. Thanks Samiul -- View this message in context: http://www.nabble.com/Generate-random-variate-from-a-non-parametric-hazard-function-tp26034880p26034880.html Sent from the R help mailing list

I've been asked about "Canonical Variance Analysis" (CVA). I don't see any reference to it searching the R site. Does it go by other names? Genstat describes it thus: Canonical variates analysis operates on a within-group sums of squares and products matrix, calculated from a set of variates and factor that specifies the grouping of units. It finds linear combinations of the variates that maximize the ratio of between-group to within-group variation, thereby giving functions that...

Hello, I recently try to modify the front end of LLVM for a variation of C. The main difference between the variation and the original one is that I wish to view the "size of" as a function. Would anybody suggest me how to start doing?? thanks yi-hong -------------- next part -------------- An HTML attachment was scrubbed... URL: