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

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

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',

A number of users have spotted a terminal problem with the 'debug' package under R2.4.0, along the lines of > mtrace(x) > x() Error in attr(value, "row.names") <- rlabs : row names must be 'character' or 'integer', not 'double' This arose from a bug in 'rbind.data.frame' in R2.4.0 itself. The bug is fixed in R2.4.0 patched, so the

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

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

(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

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: 2.2.1 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

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

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,

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

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: 2.4.1 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 =

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

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,

Hello everybody, could anybody give me a hint, who I can use rbind on a list of data.frames, please? I have a list with a large number of data.frames of the same structure, like: LIST <- list(X1=data.frame(a=1,b=2), X2=data.frame(a=3,b=4), X3=data.frame(a=5,b=6), ...., XN=data.frame(a=i,b=k)) I would like to bind all data.frames very fast to a single data.frame, something like that: DF <-

Hi all and thanks for your time in advance, I can't figure out why summary.lmrob complains when lmrob is used on a zooreg object. If the zooreg object is converted to vector before calling lmrob, no problems appear. Let me clarify this with an example: >library(robustbase) >library(zoo) >dad<-c(801.4625,527.2062,545.2250,608.2313,633.8875,575.9500,797.0500,706.4188,

It really is unclear what is claimed to be a bug here. But see https://stat.ethz.ch/pipermail/r-devel/2007-May/045592.html for why the bug is not in R: your old and new data do not match. Your fit is to a category. [The problem with the web interface to R-bugs was reported last week: it is being worked on.] On Mon, 30 Apr 2007, r.darnell at uq.edu.au wrote: > This is a multi-part

Hello, I would like to use mapply to avoid using a loop but for some reason, I can't seem to get it to work. I've included copies of my code below. The first set of code uses a loop (and it works fine), and the second set of code attempts to use mapply but I get a "subscript out of bounds" error. Any guidance would be greatly appreciated. Xj, Yj, and Wj are also lists, and s2,