similar to: R CMD check: checking examples: how to (not) pause execution

I am looking for a function like my.blockwisesum(vector, n) that computes sums of disjoint subsequences of length n from vector and can work with vector lengths that are not a multiple of n. It should give me for instance my.blockwisesum(1:10, 3) == c(6, 15, 24, 10) Is there a builtin function that can do this? One could do it by coercing the vector into a matrix of width n, and then use

Hello everybody, I am just trying to put together my first own CRAN-able package. I have completed the programming and my code works OK. But now when I perform R CMD check agsemisc_1.0-2.tar.gz and R gets to the step * checking examples ... I receive the following error message: > print(bwplot(Species~Sepal.Length, data=iris, panel=panel.bwstrip)) Error in rep(T, length(x)) : T used

Brian Ripley wrote (to somebody asking about "effect sizes"): > ... > Given that, I wonder if you are used to standard terminology. Good point. But I think for many of us there is more behind that. I personally belong to an (apparently fairly large) group of R users who may be enthusiastic, but are statistical laymen due to a lack of formal education in the area. The

(was: AW: [Rd] R CMD check: checking examples: how to (not) pause execution) Paul, Brian, > > I think the more usual way to solve this is to have the user set > > par(ask=TRUE) is they want to be prompted. thank you. Looking back, 'par' would have been a likely candidate for looking. One reason I did NOT look there is that I need the functionality for print.trellis in

Hello everybody, I have a bunch of strings like this: "IBM POWER4+ 1.9GHz" "IBM RS64-III 500MHz" "IBM RS64-IV 600 MHz" "IBM RS64 IV 750MHz" "Intel Itanium 2 Processor 6M 1.5GHz" "Intel Itanium2 1 Ghz" "Intel Itanium2 1.5GHz" "Intel

Dear Lattice bit-meddlers, while within a panel function for xyplot, how can I find out the values of (effectively) xlim and ylim -- no matter whether they have been set explicitly or chosen by Lattice itself? I have just tried for an hour to find out, with no success whatsoever. I looked in Grid for something that would return such data, but got lost. I looked at tracebacks of panel calls,

Full_Name: Lutz Prechelt Version: 2.2.1 OS: WinXP SP2 Submission from: (NULL) (130.133.8.114) This command plot(0, 0, xlim=c(3, 5), ylim=c(0, 10, 17)) should complain about 'ylim' (because it has three elements). However, it does in fact (in my german error message at least) complain about 'xlim' instead: Fehler in plot.window(xlim, ylim, log, asp, ...) : ung?ltiger

Full_Name: Lutz Prechelt Version: 2.4.1 OS: Windows XP Submission from: (NULL) (160.45.111.67) I stack a number of data.frames using rbind. Each of these dataframes has a column 'authorname', which is a factor and a column author = unclass(authorname) as piecewise pseudonyms. When using rbind to stack these dataframes, R warns about invalid factor levels and inserts all NAs in the author

I'm very new to R and utterly blown away by not only the language but the unbelievable set of packages and the documentation and the documentation standards and... I was an early APL user and never lost my love for it and in R I find most of the essential things I loved about APL except for one thing. At this early stage of my learning I can't yet determine if there is a way to

On Tue, 8 May 2007, prechelt at inf.fu-berlin.de wrote: > Full_Name: Lutz Prechelt > Version: 2.4.1 > OS: Windows XP > Submission from: (NULL) (160.45.111.67) > > > aggregate (from package stats) should preserve the > ordering of levels of factors it works on and also their > 'ordered' attribute if present. > But it does not. In fact it treats all grouping

Dear R-devels, I am looking for a package (or some other infrastructure) for the following situation: I am doing a larger data evaluation. I have several dozen data files and do not want to keep the persistent data in the R workspace (for robustness reasons). I have several dozen R files, some for reading and preprocessing data files, others for doing plots or analyses. I will make frequent

I have a large computation that performs various bootstrap resampling loops over pairs of samples using lapply(). After a few seconds it stops like this > do.summarize.effects(compute.power=T) ... Error: Unimplemented feature in rep > .Traceback [[1]] [1] "rep(no, length = length(ans))" [[2]] [1] "ifelse(t.howto == \"n\", boot.result, l.meanboot.test(onew.x,

This is not a bug, nor is the subject line true: both do accept factors but what they do with factors is undocumented. From the help (not 'man') page Performs *set* union, intersection, (asymmetric!) difference, equality and membership on two vectors. ^^^^^^^ so it is not said to work on factors. I disagree that what intersect() for

Ajay, thank you very much for picking up that age-old habit of posting summaries. It existed years ago on s-help and I find it is still a great thing: I would not have bothered to read your original question nor the answers you got, but I did read the summary -- and I learned something quite interesting! Maybe some others who receive multiple non-elementary answers to their questions could

In your data frames, 'y' is a category and the following comment in the code makes clear this is deliberate. if( !is.null(levels(xj)) ) { all.levs[[j]] <- levels(xj) facCol[j] <- TRUE # turn categories into factors } else facCol[j] <- is.factor(xj) The behaviour is compatible with S apart from the comment in the R help

Full_Name: Lutz Prechelt Version: 2.4.1 OS: Windows XP Submission from: (NULL) (160.45.111.67) aggregate (from package stats) should preserve the ordering of levels of factors it works on and also their 'ordered' attribute if present. But it does not. Here is an example: ff =

Hi Alex, Hi Weft-Users! I am looking for a tool for doing a qualitative analysis of mailing-list data. This means I have a *lot* of individual documents (the typical case: around 500-5000 emails), belonging to the same "super-document" (a mailing list). I have looked at several tools and I like that Weft is public domain and written in Ruby, so I want to figure out whether it

Hi! I am resending the following message about problems with utmp handling. * In the meantime I had some request in private mail from people asking whether I have new information. * The problem is still persistant in 2.9p2. * My own new investigations show, that the problem only appears with protocol 2, not with protocol 1, I therefore only started to note it when protocol 2 became the

# HG changeset patch # User Lutz.Dube # Node ID ca2c8c262dbaa6b2521cec60af7cd688dabdf850 # Parent 8992134dcfd0b9e1e86f4111e68a8aa48bd33c3c Values of cpu_weight and cpu_cap are lost after xend restart For managed domains in state ''halted'' I always get default values for cpu_cap / cpu_weight after xend restart. This is because the names of parameters differ between a SXP file to

On Wed, Sep 13, 2000 at 09:13:26AM +0000, Graham Murray wrote: > On upgrading to openssl 0.9.6-beta1, I find that openssh 2.2.0p1 fails > to connect. I did some more experiments and also saw the problems. They occur when using a 0.9.6-beta client to connect to 0.9.5a and 0.9.6-beta servers. They also occur when using a 0.9.5a client connecting to a 0.9.6-beta server. Connections fail with