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Hi, thanks for all suggestions - I found a solution myself within 5 minutes, but your suggestions are surely more elegant / shorter. Thanks again, Hilmar hadley wickham schrieb: > Hi Hilmar, > > What was wrong with my solution? It's much simpler and...

Hi all, I have a problem when trying to read text tables containing Unicode chars in R 2.10.1 (WinXP, English locale). An example file is attached. The following command is supposed to read the table, but the data...

Dear all, I just found this issue: dd1 = c(rep(NaN,82), rep(-1, 144), rep(1, 74)) xx = runmed(dd1, 21) -> R crashes reproducibly in R 3.4.3, R3.4.4 (Ubuntu 14.04/Ubuntu 16.04) With...

Full_Name: Hilmar Berger Version: 2.4.1/2.6.2alpha OS: WinXP Submission from: (NULL) (84.185.128.110) Hi all, If I use tapply on an empty data.frame I get an error. I'm not quite sure...

Hi all, In R, it is not possible to set the font size of axis labels directly (AFAIK). Instead, scaling factors for the font chosen by the graphics device can be supplied. It appears that there is no constant font...

Dear Ivan, thanks a lot, that is helpful. Still, I feel that default partial matching cripples the functionality of data.frame for larger tables. Thanks again and best regards Hilmar On 12.12.23 13:55, Ivan Krylov wrote: > ? Mon...

Hi all, Assume I have a data frame with numerical and factor variables that I got through merging various other data frames and subsetting the resulting data frame afterwards. The number levels of the factors seem to be the same...

Duncan Murdoch schrieb: > On 19/05/2010 12:14 PM, Hilmar Berger wrote: >> Hi all, >> >> This occurred in R-2.11.0 (WinXP). >> >> The R-help page of .[ says that: >> >> "Character indices can in some circumstances be partially matched (see...

Hi, On 08/05/17 16:37, Ista Zahn wrote: > One of the key strengths of R is that packages are not akin to "fan > created mods". They are a central and necessary part of the R system. > I would...

Dear all, actually, it is not clear to me why there is still a protection of the added Row.names column in merge using I(). This seems to stem from a time when R would automatically convert character vectors to...

Another example where a data.frame is compared to (here non-null, non-empty) non-atomic values in Ops.data.frame, resulting in an error message: setClass("FOOCLASS2", ???????? slots = c(M="matrix") ) ma = new("FOOCLASS2", M=matrix(rnorm(300), 30...

Hi, the best solution I found so far is (assuming <data> is your data.frame): # identify all factor variables factor.list = colnames(data)[sapply(data,class) == "factor"] # use transform to apply factor() to all factor variables trans.vars =paste(factor...

Hi all, I guess that this is rather a feature request than a bug report, but I'm not really sure: I stumbled over this today (R 2.6.2, WinXP): > c=c(as.Date("2007-01-01")) > class(c...

Dear all, I'm a little bit surprised by the behavior of the $ operator when used in lapply - any indication what might be wrong is appreciated. > xx = list(A=list(a=1:3, b=LETTERS[1:3]),"B"=list(a...

Hi all, I'm not quite sure if this is a feature or a bug or if I just fail to understand the documentation: If I use cor() with pairwise.complete.obs and method=pearson, the result is a scalar...

Hi Alexander, from the Help page of write: Usage write(x, file = "data", ncolumns = if(is.character(x)) 1 else 5, append = FALSE, sep = " ") Arguments x the data to be written out. file A connection, or a character string naming...

What about using the Wayback Machine archive ? The web archive should be more stable than other links which also might disappear in the future. E.g. https://web.archive.org/web/20070610002602/http://www.herine.net/stat/software/dbinom.html...

Peter Dalgaard schrieb: > Hilmar Berger wrote: >> Sorry, >> I obviously did not state clearly what the problem is (thanks Daniel): >> >> 1. minor problem: cor() does return different types of variables for >> methods "kendall" and pearson (matrix vs. scalar) when >> pairwise.complete...

Dear all, I have seen that others have discussed the partial matching behaviour of data.frame[idx,] in the past, in particular with respect to unexpected results sets. I am aware of the fact that one can work around this...