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While testing for leaks in my own code I noticed some reported memory problems from valgrind, invoked with $ R --vanilla -d "valgrind --leak-check=full" This is on Debian GNU/Linux (testing aka lenny) with a 2.6 kernel, R package version 2.4.1-2. I was running in an emacs shell. The immediate source of all the problems before I get to the prompt is the system dynamic loader

i hope you can help me. The game's site is http://withinadeepforest.ni2.se/index.php? here's the terminal output from the install (from install binary) and the run. the install: $ wine install_wadf_11.exe fixme:advapi:CheckTokenMembership ((nil) 0x7ff18088 0x7fc8fe1c) stub! fixme:sfc:SfcIsFileProtected ((nil), L"C:\\Program Files\\Within a Deep Forest\\unins000.exe") stub

Hello, KWD crashes almost regularly when trying to start OpenOffice.org. I've attached two output files from valgrind to this e-mail (as suggested by David Reveman in another mail 11.7): Use something like: valgrind --tool=memcheck kde-window-decorator .... I'm using Trevino's git version of Compiz in up-to-date Kubuntu Feisty system. Compiz version is

Hello. I'm trying to find a way in R to calculate between and within subject variances and confidence intervals for some analytical method development data. I've found a reference to a method in Burdick, R. K. & Graybill, F. A. 1992, Confidence Intervals on variance components, CRC Press. This example is for Balanced Data confidence interval calculation from Pg 62. The data are

Hi Samba developer people, I still have a problem were winbindd panics every time I run it. I'd hoped this might get fixed as newer releases of Samba came out, but I'm now running 3.0.2pre1 and still the same problem. I want to deploy Samba on Solaris, but was unable to successfully get samba to compile with dmalloc support, so I've had to install onto RedHat 8 and use valgrind

Hello Giovanni I made a minor modification to your function, which now allows to compute the within R-sq in Twoways Within models (see below). However I ran into an issue that I have already encountered before: whenever I try to fit Twoways Within models on my unbalanced data, the process is strangely slow and I usually terminate it either after ~15min or when my CPU hits 100C. This is similar to

Hi, and thank to you all for this great codec ! I have this bug on Debian Lenny with compiled packages of last svn versions of ffmpeg and libtheora. This seems to append only on the amd64 arch. Here is a valgrind log : pre-barreau at augustins:~/video$ export LD_LIBRARY_PATH=/usr/local/lib pre-barreau at augustins:~/video$ valgrind /home/pub/apps/ffmpeg_dev/ffmpeg_svn/ffmpeg -i

If I want to assign some variables into an environment, it seems natural to do something like e <- new.env() within(e, { x <- 1:5 y <- runif(5) } ) This throws an error, since within.environment doesn't exist.? I realise I can work around it using as.environment(within(as.list(e), { x <- 1:5 y <- runif(5) } )) Just wondering why I

Hi, Why can't I pass an expression to `within' by way of textual input to the 'parse' function? e.g., > x <- data.frame(a=1:5,b=LETTERS[1:5]) > x a b 1 1 A 2 2 B 3 3 C 4 4 D 5 5 E > within(x, parse(text="a<-a*10; b<-2:6")) a b 1 1 A 2 2 B 3 3 C 4 4 D 5 5 E > within(x, parse(text="a<-a*10; b<-2:6")[[1]]) a b 1 1 A 2 2 B 3

The behaviour of within() with list input changes if you delete 2 or more variables, compared to deleting one: l <- list(x=1, y=2, z=3) within(l, { rm(z) }) #$x #[1] 1 # #$y #[1] 2 within(l, { rm(y) rm(z) }) #$x #[1] 1 # #$y #NULL # #$z #NULL When 2 or more variables are deleted, the list entries are instead set to NULL. Is this intended?

>>>>> peter dalgaard <pdalgd at gmail.com> >>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes: > This seems to be due to changes made by Martin Maechler in > 2008. Presumably this fixed something, but it escapes my > memory. Yes: The change set (svn -c46441) also contains the following NEWS entry BUG FIXES o

Dear R community, I am using function 'within' in R.2.9.1 to add variables to an existing data.frame. This works wonderful, except for one minor point: The new variables are added to the data in reverse order. For example: x <- data.frame(a = 1:3, b = 4:6) y <- within(x, { c = a^2 d = b^2 e = c+d } ) gives a b e d c 1 1 4 17 16 1 2 2 5 29 25 4 3 3 6 45 36 9

On 01/04/2015 1:35 PM, Gabriel Becker wrote: > Joris, > > > The second argument to evalq is envir, so that line says, roughly, "call > environment() to generate me a new environment within the environment > defined by data". I think that's not quite right. environment() returns the current environment, it doesn't create a new one. It is evalq() that created

With a rails application I''m trying to access the public/ folder from within a rspec story. I have a controller which redirects to: /public/static_html_page.html I have a story written using webat. This story uses the above controller and it expects the redirection. This story always fails as within the story it cannot follow the redirection (Always gives a 500 error). It does not

Dear All, I have a requirement to 'originate' a number of calls to various external users from within a conference room, so that the end users does not pay for the call. I know that within Astman I can define an extension and then originate the call from that extension. Can I define a conference room (how would I configure that on astman? What channel would it use?) and then generate a

On 01/04/2015 2:33 PM, Joris Meys wrote: > Thank you for the insights. I understood as much from the code, but I > can't really see how this can cause a problem when using with() or > within() within a package or a function. The environments behave like > I would expect, as does the evaluation of the arguments. The second > argument is supposed to be an expression, so I

Dear all,   could you please give me some pointers on how I could make R screen for a value if it falls within a certain range? I looked at the subset function, but is not doing it, perhaps because I only have 1 value to screen?   aptreciate the input   ex: a <-16.5 I would like to screen to see if a is within the range of 15 to 20, (which it is:-)), and I would like the code to return a value

Colleagues: I am having trouble loading data from within .Rdata file within the environment of a function. That is, the following always loads to the global environment: f1 <- function() { load("mydata.Rdata") # compute with objects from mydata.Rdata. } I wish to load mydata.Rdata only within the function f1. Perhaps I have misunderstood

Dear list members, I'm a bit confused about the evaluation of expressions using with() or within() versus subset() and transform(). I always teach my students to use with() and within() because of the warning mentioned in the helppages of subset() and transform(). Both functions use nonstandard evaluation and are to be used only interactively. I've never seen that warning on the help

How do you calculate the percentage of data within 2SD, 3SD, 4SD, 5SD, and 6SD of the mean? I used the following link as the data I'm working with: nb10 <- read.table("http://www.adjoint-functors.net/su/web/314/R/NB10") if this helps answer my question. Can you please explain how to calculate the SD's? Please be specific in which part of the function changes when