similar to: require vs library

Hi, This is (presumably?) a bug in R 1.7.0 under Windows. I have not tested it on other systems. Attachment of packages is case sensitive but not library(), resulting in multiple loadings of the same package if the library name is spelled differently. The following example loads the `tools' package, once as `tools' and once as `Tools'. This behavior is the same with all packages and

library(mva) data(USArrests) hc <- hclust(dist(USArrests), "ave") plot(hc) # OK dump(c("hc"), "tst") rm(hc) source("tst") plot(hc) # Error in plot.hclust(hc) : invalid dendrogram input The same problem occurs with dput/dget --please do not edit the information below-- Version: platform =

Documentation on how to put classes and methods in packages with namespace? How should I define my classes and methods in "dynamicGraph"??? (That is - Can some one point me to the documentation on how to put classes and methods in packages with a namespace? ) Currently it is done by the code below. This gives problems, when a workspace with a "dynmaicGraph" is

With the current version (rw1070), every time I start R it loads a whole bunch of packages, many of which I do not need in a typical session: > search() [1] ".GlobalEnv" "package:methods" "package:ctest" "package:mva" [5] "package:modreg" "package:nls" "package:ts" "Autoloads" [9]

Hi, I would consider the calculation of r-squared in the following to be a bug, but then, I've been wrong before. It seems that R looks to see if the model contains an intercept term, and if it does not, computes r-squared in a way I don't understand. To my mind, the following are two alternative parametrizations of the same model, and should yield the same r-squared. Any insight much

I would have expected the function getAnywhere to have behaved differently in the following: > search() [1] ".GlobalEnv" "file:C:/R/Rdata/miya/.Rdata" [3] "package:boot" "package:methods" [5] "package:ctest" "package:mva" [7] "package:modreg"

Hi, the graphical parameter "cex.axis" does not have any affect for "boxplot": data(iris) boxplot(iris[,1:4], ylab="y", cex.lab=2, cex.axis=2) The patch is simply adding "cex.axis" to the search for axis relevant parameters in "bxp": ax.pars <- pars[names(pars) %in% c("xaxt", "yaxt", "las",

You get a warning message when you specify a ylab parameter while plotting data whose x's are POSIXct values. Apparently the `axis.POSIXct' method tries to reset the ylab---via the ... parameter---after it has already been set by higher level methods. Here is a function that illustrates the problem. ylabProblem <- function() { x <- ISOdate(2003, 4, 1:10) # POSIXct

Full_Name: Jonathan Swinton Version: 1.8.0 OS: Windows 2000 Submission from: (NULL) (193.132.159.34) Calling qbinom with a sample probability of 1 returns NaN > qbinom(p=0.95,size=10,prob=1) [1] NaN I believe that this is wrong and that qbinom(p,size,prob=1) should always be size for 0<p<=1. The documentation says that The quantile is defined as the smallest value x such that F(x)

> setClass('foo') [1] "foo" > setMethod('is.logical', 'foo', function(x) TRUE) [1] "is.logical" > getGeneric('is.integer') Error in options(x) : evaluation is nested too deeply: infinite recursion? > --please do not edit the information below-- Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu system =

Hi, Is this a bug in termplot, or (once again) do I just not understand what R is really doing? I am using termplot to contruct partial residual plots, 1. For all terms at once 2. One term at a time but I get different results from these two methods. To give a concrete example, I would have thought the top and bottom rows of the plot constructed with the following code would be identical.

Something like the following should be done for power.t.test to make sure that it doesn't try to evaluate abs(NULL), which results in an error. --- rossini.power.t.test.R 2003-05-30 07:24:49.000000000 -0700 +++ rossini.power.t.test.R.~1~ 2003-05-30 08:47:09.000000000 -0700 @@ -10,7 +10,7 @@ alternative <- match.arg(alternative) tsample <- switch(type, one.sample = 1,

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@r-project.org # ###################################################### Dear R developers, this morning I started experiencing a bizarre problem with the

Dear R team, I had a strange problem that appeared suddenly, and which I'd like to to mention in case it is of interest (although I suspect that I may have unwittingly done something dumb: if so please accept my apology) > library(ctest) ## or any package other than "oz" that I tried Error in as.character(table) : Object ".Dyn.libs" not found > traceback() [1]

This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. ------_=_NextPart_000_01C39C9F.B5DABBD0 Content-Type: text/plain; charset="iso-8859-1" # Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing

Dear R-users, What command do I need to use to detach a library? (without restart the R session). Thanks, Agus -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

plot.hclust: Setting up a window for a dendrogram assumes the first link is the shortest and the last is the longest. This is not always the case when the clustering was done with hclust, method="median" or method="centroid", and the dendrogram sometimes doesn't fit within the window. I propose the fix listed below. src/main/ --- plot.c Wed Sep 17 01:03:39 2003 +++

Dear all, I don't understand the following behaviour: Running compar.gee (in library ape ) with and without the option 'data', it give me different results Example: .... Start R .... > load("eiber.RData") > ls() [1] "gee.na" "mydata" "mytree" > library(ape) > # runnig with the option data= mydata > compar.gee(alt ~ R,

Does the following indicate that I have a memory leak? > gc(TRUE) Garbage collection 22891 = 21012+1557+322 (level 2) ... 483257 cons cells free (59%) 11.0 Mbytes of heap free (82%) used (Mb) gc trigger (Mb) Ncells 334906 9.0 818163 21.9 Vcells 309342 2.4 1746173 13.4 > memory.size()/1024/1024 ## in MB [1] 643.8978 > sum(sapply(ls(all.names=TRUE),object.size)) [1] 1776

Has something changed with traceback's in R-patched? When I running the examples for ?traceback, I get > foo <- function(x) { print(1); bar(2) } > bar <- function(x) { x + a.variable.which.does.not.exist } > foo(2) # gives a strange error [1] 1 Error in bar(2) : Object "a.variable.which.does.not.exist" not found > traceback() No traceback available