similar to: appending arrays

Hi, I have performed the cookbook tutorial. Before tailoring the views and controllers, when I put in the model recipe.rb: validates_uniqueness_of :title validates_length_of :title, :within => 1...20 And I tried to introduce some new recipe without the above conditions I got the message: --------------------------------------------------- New recipe 1 error prohibited this category from

Hi, I have a object 'zoo': dim(zz) [1] 720 5551 where some columns only have NA's values (representing land data in a sea surface temperature dataset) I find straightforward the use of 'na.approx' for individual columns from the zz matrix, but when applied to the whole matrix: zz.approx<-na.approx(zz) Erro en approx(along[!na], y[!na], along[na], ...) : need

Hi, I have this dataset where columns z1.3 and z1.4 are full of NA's. I want to perform some calculations in the remaining columns, but after doing this, I want to recontruct the original matrix. I can with: out <- which( colMeans( is.na( z ) ) == 1 ) gd<-z[, - out] select the columns full of NA's and those without that pattern. Then after doing the calculus I need to

Hi! I am trying to install in my R environment the rhdf5 package and library but it seems to have vanished from either the CRAN or BioConductors sites. Can you tell me where it would be possible to find it or any R library (or function) able to read hdf files? Sincerely, Nicolas Degallier UMR 7159 / IRD UR182 Laboratoire d'Oc?anographie et du Climat, Exp?rimentation et Approches

I have this challenge of converting a bit of html into an image file and then shrinking it into a thumbnail. The shrinking part shouldn''t be too bad, but what advice can you give on converting the html to the image? My thinking is that I will need to convert it to postscript or latex and then convert it to an image from there. Is there an easier / better approach? Michael

Dear Lest, I have a two-variable data frame as follows (the time peirod of the actual data set is 10 years): Date Amount 1 6/1/2007 1 2 6/1/2007 1 3 6/4/2007 2 4 6/5/2007 2 5 6/11/2007 3 6 6/12/2007 3 7 6/12/2007 3 8 6/13/2007 3 9 6/13/2007 3 10 6/18/2007 4 11 6/18/2007 4 12 6/25/2007 5 13 6/28/2007 5

Hi, I have performed the cookbook tutorial. Before tailoring the views and controllers, when I put in the model recipe.rb: validates_uniqueness_of :title validates_length_of :title, :within => 1...20 And I tried to introduce some new recipe without the above conditions I got the message: --------------------------------------------------- New recipe 1 error prohibited this category from

Hi, I swear I have read almost all the posted messages about this issue, but it's evident I couldn't find an answer (surely esay) to my problem. What I want is the following: Make 8 days aggregates from a daily series like this (dput output): structure(c(6.91777181625366, 0.79051125049591, 9.00625133514404, 9.86966037750244, 14.4326181411743, 3.70155477523804, 9.67768573760986,

Estimados Adjunto en excel el canal endémico de Bortman, se brindan las tasas de cinco aaños anteriores de cualquier enfermedad endémica y no0s alerta si nos alejamos de la media histórica (media geométrica) los intervalos de confianza son con conversión logaritmica. ¿Es posible traducir este excel a R? saludos José -- Este mensaje le ha llegado mediante el servicio de correo electronico que

Dear R-users, we are using library(snow) for computation on a linux cluster with RMPI. We have a problem with clusterEvalQ: after launching clusterEvalQ it seems loading the required library on each node but if we type a function belonging to the loaded package R doesn't find it. > library(snow) # making cluster with 3 nodes > cl <- makeCluster(3, type = "MPI") Loading

Hi everyone I've been playing with do.call() but I'm having problems understanding it. I have a list of "n" elements, each one of which is "d" dimensional [actually an n-by-n-by ... by-n array]. Neither n nor d is known in advance. I want to bind the elements together in a higher-dimensional array. Toy example follows with d=n=3. f <-

I'm trying to massage some data from Matlab into R. The matlab file has a "struct array" which when imported into R using the R.matlab package, becomes an R list with 3+ dimensions, the first of which corresponds to the structure fields, with corresponding row names, and the second and third+ dimensions correspond to the dimensions of the original struct array (as matlab

I am trying to combine two arrays with different dimensions into one. For example The first one is 1 2 3 4 5 6 The second one is 7 8 9 10 The resulted one would be like , , 1 1 2 3 4 5 6 , , 2 7 8 9 10 I used abind to do this, but failed. Could somebody please let me know how to do this in R? Thanks so many. Suyan

Hi. I have 2 tables, with same dimensions (8000 x 5). Something like: tab1: V1 V2 V3 V4 V5 14.23 1.71 2.43 15.6 127 13.20 1.78 2.14 11.2 100 13.16 2.36 2.67 18.6 101 14.37 1.95 2.50 16.8 113 13.24 2.59 2.87 21.0 118 tab2: V1 V2 V3 V4 V5 1.23 1.1 2.3 1.6 17 1.20 1.8 2.4 1.2 10 1.16 2.6 2.7 1.6 11 1.37 1.5 2.0 1.8 13 1.24 2.9 2.7 2.0 18 I need generate a table of averages, the

Hi everybody, I have trouble in installing packages from source code by following Section 5.1 in manual R-admin.pdf . I am using R 2.1.0 and Win NT. Following the Windows toolset section in the manual, I download the tool set package from: http://www.murdoch-sutherland.com/Rtools/tools.zip and unzip under C:\tools I also downloaded Perl (Windows Port) and installed it.

Hi, I'm new to R. Apologies if this is a simple query, I've searched the mailing lists and docs but can't find a solution to my problem. I'm trying to make some packages available on our intranet. During development the 'intranet' is a webserver running on localhost. * When I call "install.packages" I get a mesage about not being able to access 'index

Dear list, Is there a generalised form of rbind/cbind for combining matrices/arrays into higher-D structures? ie. if I have: a <- matrix(2,2,2) b <- matrix(3,2,2) how can I get array(rep(c(3,2), each=4), c(2,2,2)) ? It seems like this would be the job of a generalised abind function: abind(a,b, along=1) == rbind(a,b) abind(a,b, along=2) == cbind(a,b) abind(a,b, along=3)

Hi, I would like to add rows to arbitrary tables within a 3dimensional array. I can directly add data to an existing row of a table: > x <- array(0,c(1,3,2))> x[,,1] <- c(1,2,3) And I can even add a row to the table and assign to another object. > y <- rbind(x[,,1], c(4,5,6)) and 'y' is what I want it to be:> y?? ? [,1] [,2] [,3][1,] ? ?1 ? ?2 ? 3[2,] ? ?4 ? ?5 ? 6 but

Dear R Help Community, I have a question and an answer (based on reading this forum and online research), but I though I should share both since probably there's a much better way to go about my solution. My question is specifically about how to best visualise multiple response contingency tables. What I mean by 'multiple response' is that the total number of responses per row of a

I'm attempting to generalise a function that reads individual list components, in this case they are matrices, and converts them into 3 dimensional array. I can input each matrix individually, but want to do it for about 1,000 of them ... This works array2 <- abind(list1[[1]],list1[[2]],list1[[3]],along=3) This doesn't array2 <- abind(list1[[1:3]],along=3) This doesn't either