Because it can conflict with other Windows software unless you add a
layer over it. What other popular software that runs on Windows has
these problems? I can't think of any. The closest I can come up with
was that for a short time after git was ported to Windows it would
change the font
Because it can conflict with other Windows software unless you add a
layer over it. What other popular software that runs on Windows has
these problems? I can't think of any. The closest I can come up with
was that for a short time after git was ported to Windows it would
change the font
PS. Hadley, is this what you meant when you wrote Better solutions
(e.g. Rstudio and devtools) temporarily set the path on when you're
calling R CMD *., or those approaches are only when you call 'R CMD'
from the R prompt? I believe the latter, but I just want to make sure
I didn't miss
Just curious: how often do you use the Windows find command? We have put
instructions in place for people to run the install process with a renamed
Rtools find command (which I think is the only conflict). The issue is that
more users who want to use the command line commands are familiar
As far as I can tell, the steps you are recommending take place in an
earlier build step. This would require the user who wants to do this to
rebuild Rtools in its entirety, which is more trouble than it is likely to
be worth. Especially when you can avoid the problem by using your own batch
There's a subtle bug in write.csv -
write.csv(mtcars, mtcars.csv, row = FALSE)
# Error in write.table(mtcars, mtcars.csv, row = FALSE, col.names = NA, :
# col.names = NA makes no sense when row.names = FALSE
write.csv(mtcars, mtcars.csv, row.names = FALSE)
# Works
i.e. the special evaluation
Hi all,
The documentation for substitute currently reads:
Substitution takes place by examining each component of the parse
tree as follows: If it is not a bound symbol in ‘env’, it is
unchanged. If it is a promise object, i.e., a formal argument to
a function or explicitly created using
It turns out the reason for this is pretty simple:
sys.source does:
for (i in exprs) eval(i, envir)
where source basically does
n - length(exprs)
for (i in seq_len(n)) eval(expr[i], envir)
so the problem is presumably related to the way that for strips attributes.
Hadley
On Tue, Mar 19, 2013
On Wed, Mar 20, 2013 at 11:26 AM, peter dalgaard pda...@gmail.com wrote:
On Mar 20, 2013, at 16:59 , William Dunlap wrote:
Will you be doing the same for attribute names?
Not at this point.
It would be really nice to have consistent behaviour across argument
names, attributes, lists and
z - substitute(f(x), list(x = data.frame(y = 1)))
z
# f(list(y = 1))
str(z)
# language f(structure(list(y = 1), .Names = y, row.names = c(NA,
-1L), class = data.frame))
dput(z)
# f(structure(list(y = 1), .Names = y, row.names = c(NA, -1L), class
= data.frame))
Hadley
--
Chief Scientist,
If you wish to fork the original code and include the code directly in
your package, then your package will also need to be GPL=3, you will need
to list the authors of that code as Contributors in your DESCRIPTION file,
and I would strongly recommend that you place this code in a separate .R
Yes, as Brian said. And this makes sense: the names are a property of the
container, not a property of the contents. Using single brackets creates a
new container with a subset of the elements. Using double brackets extracts
an element.
The fact that there's no way to hold a number other
To summarize, it appears that the only way to call functions from a
suggested package is by using either 'require' (which will dynamically
attach it) or the double colon method. Is this something that should be
mentioned in R-exts?
Except the double colon method doesn't work (i.e. does not
loadNamespaces loads but does not attach the package. Suggests: is enough to
quieten the warning with
~/tmp$ R --version
R Under development (unstable) (2013-02-21 r62017) -- Unsuffered
Consequences
This is consistent with RShowDoc(R-exts) section 1.1.1
Namespaces accessed by the ‘::’
Hi Davor,
To the best of my knowledge, there's only one way to use functions
from a suggested package: with require:
if (require(suggested_package)) {
function_from_suggested_package()
} else {
stop(suggested package not installed)
}
Unfortunately I don't think there's any way to use a
On Friday, February 22, 2013, Simon Urbanek wrote:
On Feb 22, 2013, at 9:13 PM, Hadley Wickham wrote:
Hi Davor,
To the best of my knowledge, there's only one way to use functions
from a suggested package: with require:
if (require(suggested_package
No one yet has mentioned shiny (http://www.rstudio.com/shiny/); it
allows you to get up and prototyping quickly, and we're working on
ways to make it just as easy to scale to multiple users (currently
it's possible, but you have to be willing to get your hands dirty
configuring servers etc).
Hi all,
I think there's a small buglet in quote:
str(quote())
# Error in quote() : 0 arguments passed to 'quote' which requires 1
str(quote(expr = ))
# symbol
I bring this up because this seems like the most natural way of
capturing the missing symbol with pure R code, compared to
substitute()
If there is a bug here, I'd say that it is in str(), revealing the
implementation of the missing value as the symbol ``,
Yes, a fix to str would be nice too :)
which we otherwise try not to disclose to R code, e.g.
as.symbol()
Error in as.symbol() : attempt to use zero-length variable
On Mon, Feb 18, 2013 at 10:35 AM, peter dalgaard pda...@gmail.com wrote:
On Feb 18, 2013, at 17:04 , Hadley Wickham wrote:
quote(expr =) returning missing seems like the right thing to me,
quote() throwing an error does not, because it violates the usual
semantics where f(x = ) is equivalent
them if
missing()'s behavior changes. Basically this internal thing
_shouldn't_ be visible at R level, and if we ever figure out how to
make that happen it will.
Best,
luke
On Mon, 18 Feb 2013, Hadley Wickham wrote:
Hi all,
I think there's a small buglet in quote:
str(quote
token (that
happens to be used for a couple of different things) is a quirk; if
you look at the code I use you can see why it is a quirk. Cleaning
this up will help computing on the language (at least that is the
hope).
luke
On Mon, 18 Feb 2013, Hadley Wickham wrote:
In general, should we
Hi all,
I would like to include a function that I have made by modifying an
existing R function (bw.SJ and corresponding code in bandwidths.c).
The header of bandwidths.c states:
/*
* R : A Computer Language for Statistical Data Analysis
* bandwidth.c by W. N. Venables and B. D. Ripley
On Sat, Feb 16, 2013 at 12:24 AM, Bert Gunter gunter.ber...@gene.com wrote:
As there has been no response to this ...
Why not simply:
g - substitute(f(x),list(f=function(x){x+1})) ## with curly braces
g
function (x)
{
x + 1
}(x)
x - 2
eval(g)
[1] 3
Thomas Lumley sent me a similar
This is a little tricky for the deparser. It sees a call to a function
which was determined by an expression. Sometimes you want parens, sometimes
you don't. For example, if getfun(y) returns a function, it's clearer to
display a call as getfun(y)(x) than (getfun(y))(x).
I'll see if I can
Although it goes a long way, it doesn't always work -- it assumes that the
directory structure did not change in the project between the revisions -
distclean may not clean things that have changed since you updated the SVN
(note that to address that you should run distclean *before* the
Hi all,
Is this expected behaviour or a bug in match.call?
f - function(x, ...) {
g - function(...) match.call()
g(x = x, ...)
}
f(x = 1, y = )
# g(x = x, y = ..1)
Hadley
--
Chief Scientist, RStudio
http://had.co.nz/
__
R-devel@r-project.org
e.g.
substitute(f(x), list(f = function(x) x + 1))
# function (x)
# x + 1(x)
An extra pair of parentheses would really help:
(function(x)
x + 1)(x)
(Better indenting etc would be nice, but not necessary for correct
understand of the code)
Hadley
--
Chief Scientist, RStudio
http://had.co.nz/
Here my question: Would it be an option to place the widgets in a private
environment of my plugin package (then I would have to learn how to create
one and work with it), or won't they be found that way?
It sounds like you want to maintain state across function calls within
your package, and
To what end is the --vanilla here? Writing R Extensions says that R CMD
check (and R CMD build) are invoked via R --vanilla so that would seem
redundant, although my experience from several hours working this
through today suggests there is a difference between R --vanilla CMD
check and R CMD
To circumvent this, I check using:
R --no-init-file CMD check foo_1.0.tar.gz
In devtools, we take considerable care to match the R you're running
with the R you're checking in, so we also set the following
environmental variables:
env - c(
LC_ALL = C,
R_LIBS = paste(.libPaths(),
replicate(1000, {dev.new(); dev.off()})
R(83204,0xacdc1a28) malloc: *** mmap(size=16777216) failed (error code=12)
*** error: can't allocate region
*** set a breakpoint in malloc_error_break to debug
R(83204,0xacdc1a28) malloc: *** mmap(size=16777216) failed (error code=12)
*** error: can't
The goal is to ascertain whether a copy of an object has been made.
Then :
?tracemem
One demonstration of using both together is here :
http://stackoverflow.com/a/10312843/403310
Note that tracemem detects duplications (in a technical R sense), not
copies - i.e.
x - 1:10
On Friday, November 9, 2012, Simon Urbanek wrote:
On Nov 9, 2012, at 8:00 AM, Hadley Wickham wrote:
The goal is to ascertain whether a copy of an object has been made.
Then :
?tracemem
One demonstration of using both together is here :
http://stackoverflow.com
Hi all,
Where are the semantics for Ops.data.frame documented? I've tried
looking in ?Ops.data.frame, ?data.frame, the R language definition
(by searching for data frame), and An Introduction to R (similarly),
but haven't found anything. What am I missing?
Hadley
--
RStudio / Rice University
You're writing to the wrong place: you should be asking CRAN this question.
Their email is c...@r-project.org. They generally don't discuss their
operations in R-devel.
Who is CRAN? Is that publicly available information?
Hadley
--
RStudio / Rice University
http://had.co.nz/
Is there a case to add psum? Or have I missed something.
If psum, then why not pdiff (-), pprod (*) and precip (/) ? And
similarly, what about equivalent functions for ^, %%, %/%, , and | ?
Hadley
--
RStudio / Rice University
http://had.co.nz/
__
* installing *source* package ‘relations’ ...
...
** testing if installed package can be loaded
*** arch - i386
Error : package ‘sets’ required by ‘relations’ could not be found
Error: loading failed
Execution halted
*** arch - x86_64
Error : package ‘sets’ required by ‘relations’ could
As of rev. 61035 in r-devel, setRefClass() now returns a generator function,
as setClass() has done since 2.15.0.
The convenient style is now:
mEdit - setRefClass(mEdit,..)
xx - mEdit(data = xMat)
instead of
xx - mEdit$new(data = xMat)
The returned object still has fields and
Reproducible example:
dir.create(test)
.libPaths(test)
install.packages(relations, type = source)
Fails with:
...
* installing *source* package ‘relations’ ...
...
** testing if installed package can be loaded
*** arch - i386
Error : package ‘sets’ required by ‘relations’ could not be found
Hi all,
Is there an equivalent to .Call that passes the unevaluated arguments?
(e.g. like the equivalent of .Interval + eval = 10 in names.c)
If not, are there any disadvantages to doing something like this?
myfun - function(...) {
.Call(myfun, match.call(), parent.env())
}
Thanks!
Hadley
Promises are an implementation detail -- we need to be able to change
them, optimize them away, etc, so there is a limit on what we want to
expose. Allowing a query of whether a binding is delayed or not
should be OK but would want to think that through more carefully
before committing to
Both of these are possible in C. See:
https://stat.ethz.ch/pipermail/r-devel/2007-September/046943.html
Cool, thanks.
It shows how to query an object to see if its a promise and but rather
than extract the environment it shows how to copy a promise without
evaluating it; however, it was
Hi all,
It's possible to capture the expression associated with a promise
(using substitute). Is there any way to capture the environment
associated with a promise? Similarly, is there any way to tell if
something is a promise without accidentally evaluating it?
Thanks!
Hadley
--
RStudio /
Hi all,
A function has three components: arguments, body and environment. Is
there no base function that allows us to create a function from those
three components?
The best I could come up with is:
make_function - function(args, body, env = parent.frame()) {
args - as.pairlist(args)
Am I missing a built in way to do this? Also, is there a built in
equivalent to my mquote (= multiquote, for producing a named list of
quoted inputs)?
Oops, built in equivalent to mquote is alist. (It would be really
handy if that was referenced from quote)
Hadley
--
RStudio / Rice
There is: it is `function`. The parser converts your function definitions
into a call to it. (It has 3 arguments: the formals, the body, and the
srcref. The environment is added when it is evaluated.)
So your make_function below is pretty similar (but because `function` is
primitive,
On Wed, Oct 3, 2012 at 9:33 AM, Gabriel Becker gmbec...@ucdavis.edu wrote:
Hadley,
You could do this:
make_fun = function(args, body, env)
{
f = function()
formals(f) = args
body(f) = body
environment(f) = env
f
}
If for some reason using function() itself as Duncan suggested won't
I think `function` does not eval its arguments, and it demands a
pairlist. So this works:
f - eval(substitute(`function`(args, body),
list(args=as.pairlist(alist(a=1)), body=quote(a+1
The other thing to notice is a syntax difference between function and
ordinary calls: when writing
On Wed, Oct 3, 2012 at 9:37 PM, Peter Meilstrup
peter.meilst...@gmail.com wrote:
This is tangentially related to Hadley's question.
Suppose I'm building a function programmatically; I have assembled an
expression for the body and I know the names of the arguments it wants
to take.
Suppose I
The question becomes: how does information get passed along to indicate
things that may take a long time to run. The discussion so far has focused
on developers setting, or using, some flags to indicate tests and examples
that take a long time. Another option would be to have the check/build
It was pointed out to me by a member of CRAN that detecting --as-cran is
insufficient. CRAN only runs incoming tests with settings equivalent to
that. The daily tests use different options. I don't know what those are,
and CRAN is unwilling to discuss their internal policies on this list.
Any ideas? Is this a big or a deliberate feature?
Hadley
On Saturday, September 1, 2012, Winston Chang wrote:
I'm running into some hard-to-understand behavior with the evaluation
environment when NextMethod is used. I'm using square-bracket indexing
into objects, and the evaluation
| Hi, see thread [Rd] Proposal: Mechanism for controlling the amount of
| testing 'R CMD check' performs on April 8, 2012:
|
| https://stat.ethz.ch/pipermail/r-devel/2012-April/063809.html
Good proposal, somehow I missed that at the time. Something like this ought
be to implemented in R
To provide some background, a more general question is how to manage
unexported (private) functions in an R package. I need to call them during
the developing phase or even after the package is released (e.g., for
debugging purpose or they may be needed by new functions), but I don’t want
This is also very relevant for devtools. There have been some recent
changes to the in-development version of devtools, so that it loads
development packages into a namespace. Previously, it didn't use
namespaces, but now that it does, it much more closely approximates
normal package loading
On Sat, Aug 18, 2012 at 10:03 AM, Martin Maechler
maech...@stat.math.ethz.ch wrote:
Today, I was looking for an elegant (and efficient) way
to get a named (atomic) vector by selecting one column of a data frame.
Of course, the vector names must be the rownames of the data frame.
Ok, here is
Hi all,
Is there an R wrapper for chown/chgrp (a la Sys.chmod)? I couldn't
find one with a few minutes of searching, but it seems like a curious
omission.
Thanks,
Hadley
--
Assistant Professor
Department of Statistics / Rice University
http://had.co.nz/
It would appear to be the stock Lion compiler. I can compile biarch with that
and a current R.
As /Library/Frameworks/R.framework/Resources/include/Rconfig.h in its
entirety is the following, the only obvious way to reach the #error would be
if __i386__ somehow got undefined. Or the
Actually, probably not the issue. You are getting it from one of R's headers
so it may have gotten there while you configured R on your machine.
Which I didn't do, since I got a pre-built binary from CRAN. I guess
I'll try re-installing and hope the problem goes away.
Hadley
--
Assistant
Hi all,
Does there already exist a version of substitute that evaluates it's
first argument? (i.e. it accepts an already quoted expression). This
seems like something that's pretty handy, but I haven't found any
existing function to do it:
substitute_e - function(expr, env) {
Hi all,
Recently, when compiling R packages containing C code, I've started
getting the following error:
* installing to library ‘/Users/hadley/R’
* installing *source* package ‘appdirs’ ...
** Creating default NAMESPACE file
** libs
*** arch - i386
gcc -arch i386 -std=gnu99
Hi all,
I've been trying to get a better handle on what manipulations lead R
to duplicate a vector, creating small experiments and using tracemem
to observe what happens (all in 2.15.1). That's lead me to a few
questions, illustrated using the snippet below.
x - 1:10
tracemem(x)
# [1]
Read the help carefully as to what 'copy' means:
When an object is traced any copying of the object by the C
function ‘duplicate’ produces a message to standard output, as
does type coercion and copying when passing arguments to ‘.C’ or
‘.Fortran’.
If you want to
But does this?
z - as.list(x)
z$a - 11
Yes of course, as z is now of length 11. There is no provision in R to
extend a vector except by creating a new one. (Well, there is at C level
but I think it is not currently used.)
I guess a better example is
z - list(a = 1:1e6, b = runif(1e6))
The list gets copied, but do a and b, or does the new list point to
the existing locations? The following test suggests that it's a deep
copy.
x - 1:1e7
z - list(a = x)
system.time(replicate(100, z$b - 1L)) / 100
# ~ 0.05s
system.time(replicate(100, x[1e6 + 1L] - 1L)) / 100
# ~ 0.04s
Hi all,
In my continued effort to understand when and what R copies, I've
designed a small experiment to try and figure out what goes on when a
list gets copied - is it a shallow copy or a deep copy. I believe the
following experiment isolates the difference:
options(digits = 2)
powers - 4:6
n -
from ?groupGeneric under 'Ops' (of which + is one)
used. If different methods are found, there is a warning
about 'incompatible methods': in that case or if no method is
found for either argument the internal method is used.
which doesn't really explain why it
I've been playing around with this for a while. One flaw I found - it
doesn't handle nested Curries very well (the naive implementation in
roxygen/functional does).
That's easily fixed:
Curry - function(FUN, ...) {
args - match.call(expand.dots = FALSE)$...
args$... - as.name(...)
env
On Fri, May 25, 2012 at 3:14 PM, Yike Lu yikelu.h...@gmail.com wrote:
So here's the way I'm reading this:
Original:
curry_call is the function body you're constructing, which is itself just a
one liner which calls the symbol FUN with the appropriate substitutions.
Yup. With a bit more
Hi all,
I'm struggling to decompress a gzip'd raw vector in memory:
content - readBin(http://httpbin.org/gzip;, raw, 1000)
memDecompress(content, type = gzip)
# Error in memDecompress(content, type = gzip) :
# internal error -3 in memDecompress(2)
I'm reasonably certain that the file is
I'm struggling to decompress a gzip'd raw vector in memory:
content- readBin(http://httpbin.org/gzip;, raw, 1000)
memDecompress(content, type = gzip)
# Error in memDecompress(content, type = gzip) :
# internal error -3 in memDecompress(2)
I'm reasonably certain that the file is correctly
Well, it seems what you get there depends on the client, but I did
tystie% curl -o foo http://httpbin.org/gzip;
tystie% file foo
foo: gzip compressed data, last modified: Wed May 2 17:06:24 2012, max
compression
and the final part worried me: I do not know if memDecompress() knows about
I understand the desire not to have any dependency on additional
packages, and I have no desire to engage in any mine's better exchanges.
So write this just for the record.
The gzunzip() function handle this.
Funnily enough I just discovered that RCurl already handles this: you
just need to
2. we considered all datasets factual data thus not copyrightable (in
USA? around the globe?)
This is definitely true in the US, but not true globally. I have no
idea under which jurisdiction a lawsuit would apply.
Hadley
--
Assistant Professor / Dobelman Family Junior Chair
Department of
I somewhat agree with Spencer -- as I have mentioned, the recent precedence
with tz database shows that such claims would not be taken as ungrounded right
away and things could easily go all the way to court -- and that might be a
really costly endeavor regardless who is right or wrong.
Most of that stuff is already in codetools, at least when it is checking
functions
with checkUsage(). E.g., arguments of ~ are not checked. The expr argument
to with() will not be checked if you add skipWith=FALSE to the call to
checkUsage.
library(codetools)
I have been wondering if it is possible to automate the checking
process to reduce human efforts, e.g. automatically check the packages
submitted to FTP, and send the package maintainer an email in case of
warnings or errors (otherwise just move it to CRAN); package
maintainers can appeal for
On Tue, Mar 27, 2012 at 6:52 AM, Prof Brian Ripley
rip...@stats.ox.ac.uk wrote:
CRAN has for some time had a policies page at
http://cran.r-project.org/web/packages/policies.html
and we would like to draw this to the attention of package maintainers. In
particular, please
Thanks for the
Hi all,
I can't figure out how to make this problem easily reproducible, but I
can demonstrate it very simply, so I hoped someone might be able to
suggest a place to start:
f - function(x) substitute(x)
f(x)
x
f(mpg)
mpg
attr(,id)
[1] 11
It works as expected in a clean R session:
f -
Well, yes; you can get there more quickly as follows:
x - as.name(foo)
attr(x,id) - 7913
x
foo
attr(,id)
[1] 7913
substitute(foo)
foo
attr(,id)
[1] 7913
I.e. if you ever put an attribute on a symbol, it stays there forever. The
fix is probably to forbid setting attributes on
Hi John,
Here's a somewhat streamlined version of the code:
Form2resfun - function(f, params) {
stopifnot(inherits(f, formula), length(f) == 3)
# Create function body
body - substitute(
crossprod(rhs - lhs), list(lhs = f[[2]], rhs = f[[3]])
)
# Create argument list
free_params
o While this is good for distributing web services, it limits the
possibilities in terms of web design. In think that the CRAN maintainers do
not use Javascript, for example.
Did you try it without js? The jquery masonry plugin should have ok
fall-back behaviour if JS is disabled. (Although
Anyway, I did say that Task Views were rather brilliant, but were let
down by their hidden position on the R web sites (tucked away as the
third element of a sub-menu of a CRAN mirror site linked to by the
CRAN link from the Download menu on the main R home page). The index
page is rather
To clarify, system2 doesn't work in windows?
It does.
The system2
documentation has: On Windows, ‘env’ is currently only supported for
commands such as ‘R’ and ‘make’ which accept environment variables on
their command line.
Yes, but R CMD INSTALL does not accept those variables in
I wonder it works that far. It won't for me on Windows nor Linux, because
system2 passes the whole thing shQuoted to the shell. Hence it is highly
shell dependent what happens with the ill formed command.
Well I was using the env argument to system2, which claims to be
cross-platform (at least
2012/2/8 Uwe Ligges lig...@statistik.tu-dortmund.de:
On 08.02.2012 19:36, Hadley Wickham wrote:
I wonder it works that far. It won't for me on Windows nor Linux, because
system2 passes the whole thing shQuoted to the shell. Hence it is highly
shell dependent what happens with the ill formed
It's hard to provide a reproducible example because it depends on
exactly what package you have installed where, but I had hoped that
this would at least illustrate my problem - R CMD install doesn't seem
to be respecting R_LIBS. I'm trying to understand whether this is a
bug, or something I
Hi all,
Am I using the correct syntax to set a custom R_LIBS when running R
CMD INSTALL from the command line?
I get:
R_LIBS=/Users/hadley/R-dev R CMD INSTALL aL3xa-rapport-08e68ca/
# Desktop : R_LIBS=/Users/hadley/R-dev R CMD INSTALL aL3xa-rapport-08e68ca/
# * installing to library
On Sat, Feb 4, 2012 at 10:38 AM, Martin Maechler
maech...@stat.math.ethz.ch wrote:
The help has
Description:
'nrow' and 'ncol' return the number of rows or columns present in 'x'.
'NCOL' and 'NROW' do the same treating a vector as 1-column matrix.
and
x: a vector, array or data
On Fri, Jan 27, 2012 at 3:47 AM, Mark Cowley m.cow...@garvan.org.au wrote:
Dear list,
I'm hoping the R guru's can help with an error i've been getting for at least
a year during active package development.
I have a package loaded spot a documentation bug, so I:
edit the Rd file (or in the
well put! I would add, though, that t() generalizes to aperm(),
and the magic package contains arev() which is a generalization
of rev().
There are the flip operators of matlab, and rotating matrices/array by
multiples of 90 degrees.
I'm always on the lookout for other array functionality
Hi all,
A couple of ideas for improving seq_along:
* It would be really useful to have a second argument dim:
seq_along(mtcars, 1)
seq_along(mtcars, 2)
# equivalent to
seq_len(dim(mtcars)[1])
seq_len(dim(mtcars)[2])
I often find myself wanting to iterate over the rows or
I don't see the benefit of seq_along(mtcars, 1) versus seq_len(nrow(df)) in
readability.
I like it because:
* it reads nicely: I want a sequence along this structure in that direction
* it's more consistent: for(i in seq_along(x)) - for(row in
seq_along(mtcars, 1))
* it generalised in a
Attributes are slightly harder to work with, so Simon's recommendation is
good advice. But in cases where you want other functions to work with the
result, and the result isn't a named list with a class, then attributes are
a convenient way to go.
The only two snags I can think of are 1,
get to the fast internal code.
Cheers,
S
On Dec 28, 2011, at 10:37 AM, Hadley Wickham wrote:
Hi all,
There seems to be rather a large speed disparity in subsetting when
working with a whole data frame vs. working with just columns
individually:
df - as.data.frame(replicate(10, runif
Hi all,
I frequently find that I've failed to export something in my NAMESPACE
and hence my package doesn't work when it's imported into another
package. Does anyone have suggestion for debugging this type of
problem? R CMD check passes without any ns related errors on both the
importee and the
(ggplot2)
my_plot()
# Plot appears.
Hadley
On Fri, Dec 23, 2011 at 1:50 PM, Hadley Wickham had...@rice.edu wrote:
Hi all,
I frequently find that I've failed to export something in my NAMESPACE
and hence my package doesn't work when it's imported into another
package. Does anyone have suggestion
$S3methods[, 2], sep = .)
f - ls(package:ggplot2)
s3 - f[str_detect(f, fixed(.))]
missing - setdiff(s3, s3e)
missing[!str_detect(missing, bolus|icon)]
(Code isn't reproducible, but should give you the basic idea)
Hadley
On Fri, Dec 23, 2011 at 1:52 PM, Hadley Wickham had...@rice.edu wrote:
I
in scales_add_defaults, where the symbol isn't found in the globalenv()
when nstest is attached and ggplot2 only loaded, but is (via the search
path) when ggplot2 is attached.
and topenv(parent.frame()) is a replacement that gets to .GlobalEnv for
ggplot2, and to the name space for nstest.
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