similar to: weird warning in [.data.frame with 2.10

Displaying 20 results from an estimated 900 matches similar to: "weird warning in [.data.frame with 2.10"

2009 Oct 16
0
post-installation startup problem with 2.10.0
I've just installed R2.10.0 v50082, and found the problem described below the first few times I launched it. Did not occur with v49613 (the previous most recent version I have). The problem has now gone away, and is therefore non-reproducible, but there seems to be something up with parameter processing or environment variable checking or loading of .RData files immediately after installation.
2009 Oct 30
1
parse_Rd and/or lazyload problem
I'm encountering problems when making lazy-loadable databases of the output from 'parse_Rd'. The lazy-load database is of seemingly limitless size when I try to reload it... Admittedly I am using functions that I'm not really supposed to use, which is why this isn't a bug report, but there does seem to be something strange going on; my code is very similar to code that lives
2009 Oct 18
2
Bug with .First in R 2.10
Under R2.10.0 beta (2009-10-14 r50082) my .First does not run reliably. I reported this last week, but not reproducibly, and it seemed to go away, so I thought it might be installation-related. But it has now recurred reproducibly, at least on my machine. The website ftp://ftp.csiro.au/MarkBravington contains two .RData files each containing (only) a .First. One of them does what it should, and
2009 Mar 12
1
installed.packages and package info cache buglet (PR#13592)
Looks like there is a buglet in 'installed.packages', around line 17: for (lib in lib.loc) { dest <- file.path(tempdir(), paste("libloc_", URLencode(lib,=20 TRUE), paste(fields, collapse =3D ","), ".rds", sep =3D "")) if (!noCache && file.exists(dest) && file.info(dest)$mtime >=20
2004 Mar 09
3
update forgets about offset() (PR#6656)
In R1.7 and above (including R 1.9 alpha), 'update.formula' forgets to copy any offset(...) term in the original '.' formula: test> df <- data.frame( x=1:4, y=sqrt( 1:4), z=c(2:4,1)) test> fit1 <- glm( y~offset(x)+z, data=df) test> fit1$call glm(formula = y ~ offset(x) + z, data = df) test> fit1u <- update( fit1, ~.) test> fit1u$call glm(formula = y ~ z,
2004 Dec 06
0
a better "source(echo=TRUE)" {was "....how to pause...."}
You might want to have a look at 'source.mvb' & friends in the 'mvbutils' package. It's designed to allow control of nested sourcing, and to allow interspersed data and commands in a single self-contained file. Unlike 'source', 'source.mvb' reads each statement and immediately executes it, before proceeding to the next; hence it has do the parsing to figure
2011 Sep 16
1
grep problem in R-devel 2.14 r57004
Problem below with PCRE grep in R-devel; works fine in R-patched. (Unless there's been an absolutely massive change in rules for updated PCRE version 8.13; jeez I hope not) > grep( '[.][.]', '', perl=TRUE) Error in grep("[.][.]", "", perl = TRUE) : invalid regular expression '[.][.]' In addition: Warning message: In grep("[.][.]",
2006 Nov 07
0
rbind with auto-row-named data.frame + list (PR#9346)
There's a problem new to R2.4.0 when rbinding an auto-row-named data.frame to a list: > rbind( data.frame( x=1), list( x=2)) Error in attr(value, "row.names") <- rlabs : row names must be 'character' or 'integer', not 'double' Works OK with 2 data.frames or 2 lists. Mark Bravington CSIRO Mathematical & Information Sciences Marine
2003 Mar 26
2
predict (PR#2685)
There is a bug in `predict' whereby the order of variables sometimes gets re-arranged compared to the original fit, and then disaster results. Specifically, the 'variables' and 'predvars' attributes of a 'terms' object get out of synch. This only happens when the terms in the original formula get re-ordered during fitting: test> scrunge.data_ data.frame(
2003 Mar 26
0
termplot (PR#2687)
# r-bugs@r-project.org `termplot' bombs if the original dataset contains NAs in the predictors, even if these were ignored during fitting: test> bug.data_ data.frame( x=c(1:3, NA), y=runif( 4)) test> lm.tpbug_ lm( y~x, data=bug.data) test> termplot( lm.tpbug) Error in xy.coords(x, y, xlabel, ylabel, log) : subscript out of bounds A simple fix seems to be add the
2006 Jan 14
2
initialize expression in 'quasi' (PR#8486)
This is not so much a bug as an infelicity in the code that can easily be fixed. The initialize expression in the quasi family function is, (uniformly for all links and all variance functions): initialize <- expression({ n <- rep.int(1, nobs) mustart <- y + 0.1 * (y == 0) }) This is inappropriate (and often fails) for variance function "mu(1-mu)".
2007 Oct 10
2
slow load() in R2.6.0
I'm encountering excruciatingly slow load times for character vectors in R 2.6.0-- up to 30sec for a 15K file that contains a no-attributes character vector of length ~1e4 and object size ~0.5MB. In R 2.5.1, repeated loads of the same set of files are near-instantaneous. The problem is proving tricky to reproduce consistently from scratch, so I have attached the 3 files used in the examples
2007 Jan 07
1
substitute creates an object whichprints incorrectly (PR#9427)
> I think we should get rid of source attributes completely, > since they are no longer needed, but your comment still > applies to source references. We should strip them when code > gets modified. > > Duncan Murdoch I would be very concerned about losing source attributes-- it would break a lot of my code :(! It's very useful to have a single portable R object that
2003 Mar 26
5
predict (PR#2686)
# r-bugs@r-project.org `predict' complains about new factor levels, even if the "new" levels are merely levels in the original that didn't occur in the original fit and were sensibly dropped, and that don't occur in the prediction data either. (At least if `drop.unused.levels' was set to TRUE, which the default.) test> scrunge.data.2_ data.frame( y=runif( 3),
2002 Dec 27
0
parse and pushBack (PR#2396)
Is this the last bug of the year? Well, it's the last one from me, anyway... The "parse" function seems to give erratic behaviour when used in conjunction with "pushBack" on an open connection (R1.6.1, Windows 2000). Try this: > { cat( c( '1', 'a+b', '2'), file='r123.r', sep='\n'); tcon_ file( 'r123.r'); open( tcon);
2003 Aug 05
1
(PR#3658)
The function 'getAnywhere' crashes if given a non-existent name containing a period: > getAnywhere( 'nomethod.noclassforme') Error in get(x, envir, mode, inherits) : variable "nomethod" was not found However, 'getAnywhere' behaves gracefully if the non-existent name lacks a period: > getAnywhere( 'nomethod') no object named `nomethod' was
2003 Oct 28
0
data.frame replacement (PR#4820)
When replacing all elements of a column in a data.frame, a corrupt data.frame will be generated if the replacer is "short": test> bbb <- data.frame( x=1:2) test> bbb[,'x'] <- 3 # should fill the column test> bbb x 1 3 2 <NA> Warning message: corrupt data frame: columns will be truncated or padded with NAs in: format.data.frame(x, digits = digits)
2003 Sep 25
1
tkinsert (PR#4289)
In R-1.7.1, I used to be able to append a character vector to a 'tklistbox' with e.g. listio <- tklistbox( tktoplevel(), font='Courier', height=20, width=20, setgrid=TRUE) tkinsert( listio, 'end', letters[1:3]) tkpack( listio,side='left', expand=TRUE, fill='both') and three items would be added to 'listio'. This doesn't work in R-devel-- it
2016 Dec 12
0
[RE: why does parent.frame() cycle when called from inside capture.output()?]
Thanks, Mark - I'm taking up your invitation to forward your message to the list just because it gives us some valuable data on (1) how long the behavior has been around, and (2) how many other people (don't) understand the behavior, and (3) how we might fix or work around it. I notice some other people also seem to be diffident about posting on R-devel; perhaps I should conclude that
2009 Mar 10
1
suggestion/request: install.packages and unnecessary file modifications
Dear R-devel When 'install.packages' runs, it updates all html files in all packages. Mostly, there seems to be no actual change to the html file contents, but the date/time does change. This has causing been me a bit of trouble, because I keep synchronized versions of R on several different machines, and whenever I install a package, many MB of file transfers are required; my slow upload