similar to: ajaxful rating question

Is it possible to take advantage of http caching/proxy caching with dynamic pages? i.e. pages with section/part that can change over time but certain part of the page remain the same. I would rather not keep re-rendering the static part but insure the dynamic part are rendered with fresh data. I am using memcached mostly as an object store that I can minimize db hits but I still am rendering a

Hello everyone, I''ve taken this rating system (http://komodomedia.com/blog/index.php/2005/08/24/creating-a-star-rater-using-css/) and paired it with Prototype (http://prototype.conio.net) so that it reports the ratings via Ajax. I have a working version here (ajax is disabled though): http://kold.homelinux.com/rating_new/rating.html Problem is, the green stars don''t

Has anyone out there implemented a star rating system as described by Dave Naffis? http://www.naffis.com/blog/articles/2006/08/31/rails-ajax-star-rating-system He really has an excellent HOWTO to set this up. Unfortunately I see problems in IE. The overlayed, filled-in rating stars are not overlaying over top of the blank stars. The overlay is starting about 2.5 stars right of where it should.

Dear R-listers, I would like to carry out a very basic descriptive analysis of homicides rates in Italy, taking into account both the spatial dimension (103 provinces) and the temporal dimension (10 years), but no covariates. In practice, what I would like to do is to describe spatio-temporal variation of homicide rates, identifying those combinations of province-year where the homicide rate

Does anyone knows a working FOSS rating application for Asterisk? I tried CDRTool, but since it's free for non commercial use, it won't suit me. Also I gave a shot at Trabas (the one everybody says it sucks), but I couldn't understand how does it pull records from Asterisk's CDR table. The rate-engine addon (http://www.voip-info.org/tiki-index.php?page=Asterisk+addon+rate-engine)

I would like include the ability for people to rate posts on my site from 1 to 5. I would like to then display the average rating for each post. To compute the average each time is obviously database and cpu intensive. I have been thinking about the best solution. I could certainly use a cache and expire it every x minutes. However, I don''t want to reinvent the wheel. Is there

Sorry for these multiple postings. I solved the problem using na.omit() to drop records with missing values for the time being. I will worry about imputation, etc. later. I calculated the sum of squared errors for 3 models, linear regression, neural networks, and support vector machines. This is the first run. Without doing any parameter tuning on the SVM or playing around with the number of

I'm currently running into a little trouble with the kfilter method, and would love some clarification if you are able to offer it. When trying to run kfilter, I've been running into errors that seem to result from having mismatched dimensions. Specifically, the dimension of my observations is 2, while the dimension of the state space is 4. In the filterstep function (file sspir_kfs.R),

Let's start with a concrete case of n=3 dimensions. Along dimension x, I have a matrix of 5 vectors (each with ten rows) Along dimension y, I have a matrix of 3 vectors (each with ten rows) Along dimension z, I have a matrix of 2 vectors (each with ten rows) I am trying to write a: function(..., funcp) { } where funcp(...) is an operator which works on n vectors and returns a numeric.

What''s the best way to handle views that show the top 10/most popular/ Recently updated/most commented type listing? Should I have a separate model that is populated with records from other models by a background job or should I need to use some sort of caching? Perhaps both? Thanks! -- You received this message because you are subscribed to the Google Groups "Ruby on Rails:

Hi, I recently encountered a problem with array subsetting and came up with a fix. Given an array of arbitrary dimensions, in which the number of dimensions is only known at runtime, I wanted to extract a subarray. The main issue with doing this is that in order to extract a subarray from an array of (say) 4 dimensions you usually specify something like this a.subarray <- a[,c(4,2),1:5,]

Transpose vector extracted from a matrix Hello, I am doing a recursive analysis that uses every line (vector) of a matrix in a loop. In the model, I need to transpose those vectors that are extracted from a matrix. Using simple vectors (no matrix involved) the transpose function works fine: simplevector <-matrix(1:3,3,1) tsimplevector <-t(simplevector) #transposed dim(simplevector)

Given a long zoo matrix, the goal is to "sweep" out a statistic from the entire length of the sequences. longzoomatrix<-zoo(matrix(rnorm(720),ncol=6),as.yearmon(outer(1900,seq(0,length=120)/12,"+"))) cnames<-c(12345,23456,34567,45678,56789,67890) colnames(longzoomatrix)<-cnames longzoomatrix[1:24,] 12345 23456 34567 45678

Hi All, I want to make a 1 dimension vector from the first two dimensions of a 3 dimension array, so make a 2 dimension vector from a 3-dimension one, with "fusing" (making as.vector) the first two dimensions. It seems to be very easy, but I cannot find the solution, I mean it would very strange, that I would do taking the single 1 dimensional vectors from the 3 dimensional one, make one

Gudday, I've had a good look everywhere trying to figure out how to do this, but I'm afraid I can seem to find an answer anywhere - maybe its because I'm not using the right terms, or maybe its because I'm a dummy. But unfortunately, I am not completely and utterly stuck. Here's the problem: I have two large, six dimensional arrays that I would like to add together. Lets call

On Wed, 12 Sep 2012 14:18:43 +0200 Armin Größlinger <armin.groesslinger at uni-passau.de> wrote: > Hi, > > I had a few thoughts about recovering multi-dimensional accesses in > Polly and maybe it's time to share them. > > On 09/12/2012 10:38 AM, Tobias Grosser wrote: > > [...] Even in the last example which contains parameters both for > > the sizes and

Hello list members, I am working with simulated data for landscape pattern analysis. I have 1000 replicates of binary (2 colour) gridded landscapes at each combination of 9 levels of class proportion and 11 levels of spatial autocorrelation. The results are stored in an array as follows: > dim(surfaces) [1] 38 9 11 1000 The dimensions are defined as follows: [x,,,] 1:38, integers

I am trying to multiply a 3D array of 4x4x4 by the 4 3D arrays of a 4D array with dimensions 4x4x4x4 (the last dimension being the one that I want to split by). (4x4x4 array) > hiaAry , , a1 i1 i2 i3 i4 h1 9.5936098 6.001040 0.08772 0.3138600 h2 1.2003500 1.454570 2.79248 0.0000000 h3 0.1346500 0.201220 0.39256 0.5464000 h4 0.0109000 0.012270 0.16417 0.2766900 ,

Hi, xtabs() creates a table of counts. I want a table of proportions -- that is, I want to divide every vector (along a particular dimension) by its sum. The tiny example below does that. The call to xtabs() creates a matrix "A" with dimensions ("x1","x2","y"). I transform "A" using aperm() and aaply() to get the matrix "B". The

Hi! I'm just getting started with R (and with the analysis of large datasets in general). I have several beginner-level questions whose answers I have not been able to find, and was hoping one of you would be kind enough to throw me a cluebrick or two. I have a 6-dimensional numeric array (which I'll call myarray) that is "fully named". By this I mean that non-NULL dimnames