similar to: rbind.data.frame reacts on levels without factor (PR#9578)

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

Hello all, trying to prepare my first package for submission to CRAN I am stumbling over the "checking examples" step of R CMD check. I have some examples that produce more than one plot. I currently separate those plot calls by readline("Press <Return> for a plot including a density plot") or some such to have R wait before producing the next plot. This works OK

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

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

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

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

(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

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 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,

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

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 =

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,

Maybe I''m having a "slow day" but I can''t for the life of me figure out how to print a photo''s tags using the flickr gem (flickr.rb). Consider this: <% @photos.each do |photo| %> Tags: <%= debug(photo.tags) %> <% end %> ...Gives the following output: tag: - authorname: gmacgregor author: 62682519@N00 id: 4181224-280985155-130

When attempting to merge 3 data frames, one of which has fewer columns than the others, rbind.data.frame correctly refuses to perform the bind. However, the error message given is a bit obscure due to a logical bug in the match.names() internal function to rbind.data.frame. Illustration: ## Three data frames with same column variable names: > foo <- data.frame(v1 = c('a',

Hi All, I''m new to ruby on rails and I struggle with a problem in my first application. I searched the forum (and ofcourse google) but I think it is just an easy thing that nobody boughters to write down :) I am building a kind of library application for (fysical) books and e-books and later I want to add other functions like knowledge management. The problem: in the book show page

I''m doing some searching for deployment options, and I feel like I''m getting buried in a lot of new technology and assumptions that I know all that it''s dependent on. In the past I''ve done small things with PHP where I just dump the app in a folder and everything works out of the box. I found that everyone is using Capistrano, which relies on Subversion

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

Hello, I think I've found a bug in as.matrix.data.frame().? The function's documentation says: "The method for data frames will return a character matrix if there is only atomic columns and any non-(numeric/logical/complex) column, applying as.vector to factors and format to other non-character columns. Otherwise, the usual coercion hierarchy (logical < integer < double

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