search for: multits

...way of doing it I've found is: mdeaths2<-as.matrix(mdeaths) dim(mdeaths2)<-c(12,6) mdeaths2<-apply(mdeaths2,2,cumsum) mdeaths[]<-mdeaths2 # It is not very efficient to solve the problem of applying a cummulative sum to each year ### Second, for a multivariate ts: data(UKLungDeaths) Multits<-ts.union(mdeaths, fdeaths) # Why does Multits$mdeaths # not work and I have to use: Multits[,"mdeaths"] # Is it the way it works or am I missing something? # Thanks as always, # Angel

Hi all, Although I''m experienced with programming I''m a beginner with ruby, RoR and MVC So I follow examples from books and so on and all is ok. I can make a model who is a class and who match to a table in my database and then I generate pretty forms on a webpage. I would like to know how I can do to make forms who interact with more than one table. For an example lets

I have a multitable database with an observer logging changes into a datachange table. The create method inserts the data into the data change table, updates my model, and then trys to load from the datachange table. When it does this it WHERE clause that is generated for me is looking for a column model_id which I dont have. I don''t want to even have a field because this table will be

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):

Hello, Here are some patches for R-intro.texi, to correct various typos, missing words, and minor inconsistencies in formatting. Each patch is preceeded by its corresponding 'wdiff' output to make it easier to see which words have changed. -- Brian Gough Network Theory Ltd, Publishing the R Reference Manuals --- http://www.network-theory.co.uk/R/