similar to: sapply(Date, is.numeric) (PR#12008)

FYI, I've tried posting the below message twice to the bug tracking system, once by email (below), and the second time 5 days later directly to the bugs.r-project.org website. As far as I can tell, the bug tracking system hasn't picked this up. Also it looks like the latest "incoming" bug is dated 25 May 2008, so perhaps others are having difficulty as well. (cc: r-bugs)

FYI,=20 I've tried posting the below message twice to the bug tracking system, once by email (below), and the second time 5 days later directly to the bugs.r-project.org website. As far as I can tell, the bug tracking system hasn't picked this up. Also it looks like the latest "incoming" bug is dated 25 May 2008, so perhaps others are having difficulty as well. (cc: r-bugs)

>>>>> "RobMcG" == McGehee, Robert <Robert.McGehee at geodecapital.com> >>>>> on Tue, 29 Jul 2008 15:40:37 -0400 writes: RobMcG> FYI, RobMcG> I've tried posting the below message twice to the bug tracking system, [....... r-bugs problems discussed in a separate thread ....] RobMcG> R-developers, RobMcG> The

On Wed, 30 Jul 2008, Martin Maechler wrote: >>>>>> "RobMcG" == McGehee, Robert <Robert.McGehee at geodecapital.com> >>>>>> on Tue, 29 Jul 2008 15:40:37 -0400 writes: > > RobMcG> FYI, > RobMcG> I've tried posting the below message twice to the bug tracking system, > > [....... r-bugs problems discussed in a

There seems to be a bug in seq.Date such that it will not allow the user to pass in length.out =3D NULL, despite the fact that this is the = default argument. For example: > dt1 <- as.Date("2004-12-31") > dt2 <- as.Date("2005-12-31") > seq.Date(dt1, dt2, length.out =3D NULL, by =3D "month") Error in seq.Date(dt1, dt2, length.out =3D NULL, by =3D

R-help, Given a simple linear model, say lm(x ~ y + z), I would like to remove model terms that are factors with only one level. Thus, if 'z' were a factor with only one level, lm(x ~ y + z) becomes lm(x ~ y + 1). Likewise, if both 'y' and 'z' are one-level factors, then the resulting calculation is simply lm(x ~ 1). Unfortunately, I have not been able to come up with an

Hello, I wanted to suggest that the below method for split.Date be added to the base library to significantly speed up splits with values of class Date. In the below example I show a speed improvement of 175x for 1000 data points. On a vector of size 1e6, the time difference was 22 minutes for split.default versus 0.3 seconds for the split.Date function below (!). Note that this improvement will

?"=", ?"==", ?"!=", ?">=", and ?"<=" sends me to the documentation for ?help on Windows, while returning the correct documentation on Linux. Robert > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor

This is probably a dumb question, but I cannot figure it out. Why does this happen? dt <- as.Date("1954-02-01") > as.character(dt) [1] "1954-02-01" > sapply(c(dt), as.character) [1] "-5813" Thanks. FS

I have found a solution to the new("call") problem that I believe produces the correct behavior for the default call object, and am also reclassifying this as a bug, as I believe the current behavior to be incorrect. Recap, the following error occurs: > new("call") Error in print("<undef>"()) : couldn't find function "<undef>" It looks

I was recently browsing through CRAN's Finance task view to remind myself of the publicly available packages relevant to my work. As the reference manuals are all online, I am able to flip through the available functions to get an idea of the package's scope before downloading. That said, many authors have taken the time to additionally provide a useful vignette which provides a better

Hello, I've decided to take the leap and try my hand at the lattice package, though I am getting stuck at what one might consider a trivial problem, plotting text at a point in a graph. Apologies in advance if (that) I'm missing something extremely basic. Consider in base graphics: > plot(1:10) > text(2, 4, "Text") In the above you will see text centered at the point (2,

Hello all, I just upgraded to R 2.7.0 and found that the behavior of 'var' and 'sd' have changed in the presence NAs (this wasn't explicit in the NEWS file, though I see it probably has to do with the change for cor/cov). Anyway, I just want to make sure that it was intentional to produce an error when there was all NAs and na.rm=TRUE, rather than returning an NA (like R

R-Developers, I'm looking for some help computing on the R language. I'm hoping to write a function that parses a language or expression object and returns another expression with all instances of certain argument of a given function altered. For instance, say I would like my function, myFun to take an expression and whenever the argument 'x' appears within the function FUN inside

Hello, I'm trying to convert times in the EST/EDT (New York) format to times in the GMT/BST (London) and UTC+9 format (Tokyo). That is, if I know what time it is in New York, what is local time in London and Tokyo? Ex: Here's the conversion from New York EST/EDT time to London's GMT/BST time zone for three days in 2007. Note that the US and London change to daylight savings on

Hello, I found a potential problem in R 2.1.0 (and R 2.0.1) I expect that > tmp <- FUN(x1, x2, x3, x4) > as.data.frame(tmp) is the same as > as.data.frame(FUN(x1, x2, x3, x4)) since the tmp variable in this case is unnecessary. However, below I will demonstrate that under an odd set of conditions, I can correctly perform as.data.frame(tmp), but not as.data.frame(FUN(x1, x2, x3,

I'm trying to build a recursive set of functions that take a set of arguments, change some of the arguments and recursively call the same (or different) function. For example here's a stupid recursive counting function that prints back all integers from x to 0 (and ignores arguments y and z) cnt <- function(x, y, z) { stopifnot(is.numeric(x)) print (x) recursionFUN <-

I was unaware until recently that partial matching was used to index data frames and lists. This is now causing a great deal of problems in my code as I sometimes index a list without knowing what elements it contains, expecting a NULL if the column does not exist. However, if partial matching is used, sometimes R will return an object I do not want. My question, is there an easy way of getting

Hello, I have been running linear regressions on large data sets. As 'lm' saves a great deal of extraneous (for me) data including the residuals, fitted.values, model frame, etc., I generally set these to NULL within the object before saving off the model to a file. In the below example, however, I have found that depending on whether or not I run 'lm' within another function or

R-help, I'm the primary developer for an increasingly large R package with over three thousand lines of code. Unfortunately, do the complexity of the code, I sometimes am required to change several interoperating parts of the package before testing for bugs and performance. And sometimes unnoticed syntax errors slip in that cause Rcmd check / INSTALL to fail with such messages as: Error in