similar to: Sorting

Dear all, I think that my question is very simple but I failed to solve it. I have a list which elements are matrices like this: >mylist [[1]] [,1] [,2] [,3] [1,] 1 3 5 [2,] 2 4 6 [[2]] [,1] [,2] [,3] [1,] 7 9 11 [2,] 8 10 12 I'd like to create a matrix M<-mylist[[1]]+mylist[[2]] [,1] [,2] [,3] [1,] 8 12 16 [2,] 10 14 18

I'm trying to find a good way of attaching a list within a function such that the attached variables (the list's members) precede the global environment (.GlobalEnv) in the search list. Here is a non-working example using attach(), which hopefully explains better what I'm trying to do: > foo <- function(x=0, input=list(a=10)) { + attach(input) + on.exit(detach(input)) +

Dear all I have a function in which I would like to change some values to NA according to some condition. dropout<-function(y, nahr=FALSE,...) { <some stuff for computing an index> if (nahr) y[index]<<-NA invisible(index) } in case y is a vector all works OK but if it is a part of data frame by calling dropout(df$y) or dropout(df[,number]) no change is done. Please can you

Hi everybody, I have a list, where every element of this list is a data frame. An example: Mylist<-list(A=data.frame, B=data.frame, C=data.frame, D=data.frame) I want to rbind some elements of this list. As an example: Output<-list(AB=data.frame, CD=data.frame) Where AB=rbind(A,B) CD=rbind(C,D) I’ve tried: f<-function(x){ for (i in

Hello all, I have a problem with the way attributes are dealt with in the function xmlToList(), and I haven't been able to figure it out for days now. Say I have a document (produced by nmap) like this: > mydoc <- '<host starttime="1365204834" endtime="1365205860"><status state="up" reason="echo-reply"

Dear list, I have some trouble generating a frequency table over a number of vectors. Creating these tables over simple numbers is no problem with table() > table(c(1,1,1,3,4,5)) 1 3 4 5 3 1 1 1 , but how can i for example turn: 0 1 0 0 0 1 0 1 0 1 0 0 0 1 0 1 0 0 into 0 0 1 1 1 0 0 2 0 1 0 3 My second problem is, sorting rows and columns of a matrix by the rowSums/colSums. I did it

Hi, In a second try I will ask this list to give me some useful pointers. Linear lists, as described e.g. by N.Wirth in "Algorithms and Data Structures", seem not to be implemented in S/R, although in lisp we have cons, car, cdr. Nevertheless I want to implement an algorithm using such linear lists, porting a trusted program to R (S). I need: (from Modula/Oberon) pSC* = POINTER TO

I have a list that is made of lists of varying length. I wish to create a new vector that contains the last element of each list. So far I have used sapply to determine the length of each list, but I'm stymied at the part where I index the list to make a new vector containing only the last item of each list mylist =

If your two objects have class "data.frame" (look at class(objectName)) and they both have the same number of columns and the same order of columns and the column types match closely enough (use all.equal(x1, x2) for that), then you can try which( rowSums( x1 != x2 ) > 0) E.g., > x1 <- data.frame(X=1:5, Y=rep(c("A","B"),c(3,2))) > x2 <-

Dear list, I have a question regarding how to allocate or initialize the proper type of the arrays or lists. I have a for loop, each iteration, I want it to assign a subset of a data frame to an element of an array or list. However, I am wondering how I should initialize or allocate the empty array or list so that it has the same number of the elements as the subsets I am going to assign and

Also, it will be easier to provide helpful information if you'd describe what in your data you want to compare and what you hope to get out of the comparison. Best wishes, Ulrik Eric Berger <ericjberger at gmail.com> schrieb am Sa., 27. Jan. 2018, 08:18: > Hi Marsh, > An RDS is not a data structure such as a data.frame. It can be anything. > For example if I want to save my

Hi Guys, I apologize for my rank & utter newness at R. I used summary() and found about 95 variables, both character and numeric, all with "Length:368842" I assume is the # of records. I'd like to know the record number (row #?) of any record where the data doesn't match in the 2 files of what should be the same output. Thanks in advance, M. //

The anti_join from the package dplyr might also be handy. install.package("dplyr") library(dplyr) anti_join (x1, x2) You can get help on the different functions by ?function.name(), so ?anti_join() will bring you help - and examples - on the anti_join function. It might be worth testing your approach on a small subset of the data. That makes it easier for you to follow what happens

I have a matrix of data. I need to scan the matrix and find every sequence from maxima to maxima across a row. I can write a loop to do this easily. Problem is, I can't figure out how to store the results. Each result is a vector of widely varying lengths. Ideally I'd like a vector of these, i.e. a vector of vectors, so I can quickly iterate through them and compute correlation

In Mathematica there is a neat feature, where you can change the head of a list from "list" to say "+" and obtain a sum of the list elements. I can't find a way to sum a list of vectors of same length or list of matrices of the same dimension and was curious if something like that exists in R. do.call("+",list) doesn't work because "+" accepts only

I have data that looks like this time_stamp (seconds) user_id The data is (partial) ordered by time - in that sometimes transactions occur at the same timestamp. The output I want is collated by transaction time on a per user basis, normalized by the maximum number of transactions per user, and aggregated over each day. So, if the users have 50 transactions in the first day and 20 transactions

If I have two vectors X<-1:10 Y<-1:5 When I combine them using cbind, the shorter one is repeated and both are made of the same length. Is there a methods that does this without duplicating the shorter one. I want to use this to store the data back to a file. Thanks ../Murli [[alternative HTML version deleted]]

New to R; please excuse me if this is a dumb question. I tried to RTFM; didn't help. I want to do a series of regressions over the columns in a data.frame, systematically varying the response variable and the the terms; and not necessarily including all the non-response columns. In my case, the columns are time series. I don't know if that makes a difference; it does mean I have to call

Cool, looks like that'd do it, almost as if converting an entire record to a character string and comparing strings. -- M. B. Hardy, statistician work: Applied Research Associates, S. E. Div. 8537 Six Forks Rd., # 6000 / Raleigh, NC 27615-2963 (919) 582-3329, fax: 582-3301 home: 1020 W. South St. / Raleigh, NC 27603-2162 (919) 834-1245

Hi, I often have to do this: select a folder (directory) containing a few hundred data files in csv format (up to 1000 files, in fact) open each file, transform some character variables in date-tiime format make into a dataframe (involves getting rid of a few variables I don't need concatenate to the master dataframe that will eventually contain the data from all the files in the