similar to: unique(1:3,nmax=1) freezes R

Dear all, I'd like to discuss about a possible bug in function StructTS of stats package. It seems that the function returns wrong value of the log-likelihood, as the added constant to the relevant part of the log-likelihood is misspecified. Here is an simple example: > data(Nile) > fit <- StructTS(Nile, type = "level") > fit$loglik [1] -367.5194 When computing the

Well, you won't like this, but it is kind of wimpily (is that a word?) documented: If you check the code of factor(), you will see that nmax appears as an argument in a call to unique(). ?unique says for nmax, "... see duplicated" . And ?duplicated says: "If nmax is set too small there is liable to be an error: nmax = 1 is silently ignored." So sometimes you get an error

I'll go just a bit "fer-er." It appears the anomaly -- I hesitate to call it a bug -- is in the C code for duplicated.default(): > duplicated(letters[1:10],nmax=10) [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > duplicated(letters[1:10],nmax=9) [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > duplicated(letters[1:10],nmax=8) ## for

I have been trying to understand how the argument 'nmax' works in 'factor' function. R-Documentation states - "Since factors typically have quite a small number of levels, for large vectors x it is helpful to supply nmax as an upper bound on the number of unique values." In the code below what is the reason for error when value of nmax is 24. Why did the same error not

Dear R-users, When i try - Data1<-read.table("/Users/kama/Analysis/GDP10.csv",header=TRUE,sep=";") i am getting this error: Warning message: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : number of items read is not a multiple of the number of columns I wonder what Iam doing wrong. i guess it is something simple, however, i do not understand

I have no experience with incorporating Fortran code and am probably doing something pretty stupid. I want to use the following Fortran subroutine (not written by me) in the file SSFcoef.f subroutine SSFcoef(nmax,nu,A,nrowA,ncolA) implicit double precision(a-h,o-z) implicit integer (i-n) integer l,i,nmax double precision nu,A(0:nmax,0:nmax) A(0,0) =

I have no experience with incorporating Fortran code and am probably doing something pretty stupid. I want to use the following Fortran subroutine (not written by me) in the file SSFcoef.f subroutine SSFcoef(nmax,nu,A,nrowA,ncolA) implicit double precision(a-h,o-z) implicit integer (i-n) integer l,i,nmax double precision nu,A(0:nmax,0:nmax) A(0,0) =

Dear all, I recently uploaded a new package Rlibeemd to CRAN (http://cran.r-project.org/web/packages/Rlibeemd/index.html, and in github: https://github.com/helske/Rlibeemd), and simple example in help files seems to throw an error on Solaris: Version: 1.3.1 Check: examples Result: ERROR Running examples in ?Rlibeemd-Ex.R? failed The error most likely occurred in: > ### Name:

Buenas noches a todos, Estoy descarganado tweets a través del paquete twitteR en dos sistemas diferentes. La configuración del primero, un MacBook Pro, es R version 3.0.2 Patched (2013-12-11 r64449) Platform: x86_64-apple-darwin10.8.0 (64-bit) locale: [1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8 attached base packages: [1] compiler stats graphics grDevices utils

hi, I want to know just enter a string value entering a numeric value is make with the function scan () or scan (nmax = ..) but it does not work for string my goal is to enter three string: name and surname and date of birth I try with this code but it shows me errors print ("enter the name") name <- scan (nmax = 1) print ("enter the first name") firstName <- scan

Dear people, I'm trying to do some analysis of a data using the models by Royle & Donazio in their fantastic book, particular the following function: http://www.mbr-pwrc.usgs.gov/pubanalysis/roylebook/panel4pt1.fn that applied to my data and in the console is as follows: > `desman.y` <- structure(c(3L,4L,3L,2L,1L), .Names = c("1", "2", "3",

I have some compiled code that works under winXp but not under linux (kernel 2.6.10-5). I'm also using R 2.1.0 After debugging, I've discovered that in this code: #define NMAX 256 long **box; ... box = (long **)R_alloc(NMAX, sizeof(long *)); //<---HERE THE SIGSEGV for (i=0; i<NMAX; i++) box[i] = (long *) R_alloc(NMAX, sizeof(long)); inside the *first* call to the

I have some compiled code that works under winXp but not under linux (kernel 2.6.10-5). I'm also using R 2.1.0 After debugging, I've discovered that this code: #define NMAX 256 long **box; ... box = (long **)R_alloc(NMAX, sizeof(long *)); gives a null pointer, so subsequent line: for (i=0; i<NMAX; i++) box[i] = (long *) R_alloc(NMAX, sizeof(long)); gives a SIGSEGV signal.

Dear list, [cross-posting from Stack Overflow where this question has remained unanswered for two weeks] I'd like to perform a numerical integration in one dimension, I = int_a^b f(x) dx where the integrand f: x in IR -> f(x) in IR^p is vector-valued. integrate() only allows scalar integrands, thus I would need to call it many (p=200 typically) times, which sounds suboptimal. The

Hello, All: What can people tell me about converting back slashes to forward slashes in character strings? Several years ago, Prof. Ripley provided a solution, which I lost and have not been able to find. Below please find a function to do this. I do not find this very satisfactory, however, because it uses "scan" and therefore operates on an input not a

Hi, I am looking for an efficient way of skipping big chunks of lines on a connection (not necessarily at the beginning of the file). One way is to use read lines, e.g. readLines(1e6), but a) this incurs the overhead of construction of the return char vector and b) has a (fairly remote) potential to blow up the memory. Another way would be to use scan(), e.g. scan(con, skip=1e6, nmax=0)

http://www.nabble.com/file/p15359204/test.data.csv http://www.nabble.com/file/p15359204/test.data.csv test.data.csv Hi, I have used apply to have certian combinations, but when I try to use these combinations I get the error [Error in eval(expr, envir, enclos) : object "X.GDAXI" not found]. being a novice I donot understand that after applying combination to the data I cant access

Hello everyone, I recently made a 64-bit build of R-2.2.1 under Solaris 9 using gcc v.3.4.2. The server has 12GB memory, 6 Sparc CPUs and plenty of swap space. I was the only user at the time of the following experiment. I wanted to benchmark R's capability to read large data files and used a data set consisting of 2MM records with 65 variables in each row. All but 2 of the variables are of

I'm trying to import a table into R the file is about 700MB. Here's my first try: > DD<-read.table("01uklicsam-20070301.dat",header=TRUE) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 2: In scan(file, what,

Hello, All: I have for years copied an address like "C:\Program Files\R\R-2.15.0\library\MASS\scripts" from Windows Explorer into R, then manually replaced "\" with "/". I have a function to automate this added to the development version of "sos". However, it generates a warning in "R CMD check" ("parse error: unexpected