similar to: abind, but on lists?

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

Dear R community, I have a question concerning recoding of a variable. I have a data set in which there is a variable devoted to the ISCO code describing the occupation of this certain individual (http://www.ilo.org/public/english/bureau/stat/isco/isco88/major.htm). Every type of occupation begins with a number and every number added to this number describes th occupation more detailed. Now my

I'm curious how people think the following *should* be interpreted: - one 2. two http://babelmark.bobtfish.net/?markdown=-++one%0D%0A2.+two%0D%0A%0D%0A As you can see, implementations split into three groups here: (a) treat as an unordered list Markdown.pl, Python markdown, MultiMarkdown, BlueCloth, MarkdownJ, Showdown (b) treat as an unordered list with an ordered

Hi John, there?s a bug in Markdown.pl: [foo*bar](#) [baz*quux](#) This expands to the following: <p><a href="#">foo<em>bar</a> <a href="#">baz</em>quux</a></p> Those `*` should either be disregarded or the tags should nest correctly: 1. <p><a href="#">foo*bar</a> <a

There is a new version of the abind package on CRAN (abind_1.1-0). abind() is a multi-dimensional generalization of cbind() and rbind() -- it can bind multiple 2-d matrices into a 3-d array, or bind 3-d arrays together, etc. In this new version the behavior of the function abind() has been enhanced slightly (it can now accept a list as the first argument, removing the need to use do.call()

There is a new version of the abind package on CRAN (abind_1.1-0). abind() is a multi-dimensional generalization of cbind() and rbind() -- it can bind multiple 2-d matrices into a 3-d array, or bind 3-d arrays together, etc. In this new version the behavior of the function abind() has been enhanced slightly (it can now accept a list as the first argument, removing the need to use do.call()

The setup: I have a data frame where one column is in list mode, and each entry contains a vector of varying length. I want to expand this into a data frame with one row for each member of the list-mode column (the other values being replicated) For example, an example input and the desired output would be: input <- data.frame(site = 1:6, sector =

I'm trying to move from Matlab to R, and I'm stuck even getting started. This sounds to me like the dumbest question in the world but... how does one put R source code in files? Over the last three days I've gone front to back through the Introduction to R and the R Language Definition, and while I'm excited that the language is so Lispish, none of what I read described how to

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

When complex assignments are performed, the R interpreter creates, then removes a special variable *tmp*. However, when byte compiling is enabled, it seems that a different mechanism for making compound assignments is used. Would it be possible to eliminate *tmp* from interpreted R code as well? It might be useful for a function to lock its own environment, and the appearance and disappearance of

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 <-

Consider the data.frame: df <- data.frame(A = c(1,4,2,6,7,3,6), B= c(3,7,2,7,3,5,4), C = c(2,7,5,2,7,4,5), index = c("A","B","A","C","B","B","C")) I want to select the column specified in 'index' for every row of 'df', to get goal <- c(1, 7, 2, 2, 3, 5, 5) This sounds a lot like the indexing-by-a-matrix

Interestingly, as.list(substitute(...())) also works. On Sun, Aug 12, 2018 at 1:16 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 12/08/2018 4:00 PM, Henrik Bengtsson wrote: >> >> Hi. For any number of *known* arguments, we can do: >> >> one <- function(a) list(a = substitute(a)) >> two <- function(a, b) list(a = substitute(a), b =

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 am trying to aggregate some data and I am confused by the results. I load a data frame "all" from a csv file, and then I do: (FOO,BAR,X,Y come from the header line in the csv file, BTW, how do I rename a column?) byFOO <- aggregate(list(all$BAR,all$QUUX,all$X/all$Y), by = list(FOO=all$FOO), FUN = mean); I expect a data frame with 4

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)

Dear list, I wish to define a set of functions *auxilliary* to another set of "main" ones, and I wonder if there is some "clever" way do do this using lexical scoping. Looking for that in the list's archives did not get me easily understood answers. Perusing MASS (1st, 2nd, 3rd and 4th editions!) and "Programming S" wasn't of much help either... R easily

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