On Thu, Feb 13, 2025 at 1:46 PM Lenth, Russell V via R-help
wrote:
>
> Dear R-Help,
>
> When I submit an update to one of my packages, I decided to try to avoid
> having to fix errors that sometimes occur in CRAN's reverse-dependency checks
> by performing the same checks ahead of time. From wha
On Sun, May 28, 2023 at 1:46 PM Duncan Murdoch wrote:
>
> Is there a way to open a graphics device that plots entirely to an array
> or raster in memory? I'd prefer it to use base graphics, but grid would
> be fine if it makes a difference.
>
> For an explicit example, I'd like to do the equivale
On Mon, Jun 15, 2020 at 2:47 PM Luigi Marongiu wrote:
>
> Hello,
> all of a sudden rstudio stopped working on ubuntu 20.04. I
> re-installed from `rstudio-1.3.959-amd64.deb` but it does not launch
> even if there is an icon. On terminal I got:
> ```
> $ rstudio
> rstudio: error while loading share
On Wed, Apr 29, 2020 at 11:37 PM Steven wrote:
>
> Hello John,
>
> Perhaps you can help me. I am an idiot. I visited the Rtools web page
> and learn to run the following lines in R: Still I am getting the same
> warning message.
>
> > writeLines('PATH="${RTOOLS40_HOME}\\usr\\bin;${PATH}"', con =
On Thu, May 2, 2019 at 9:36 AM Martin Maechler
wrote:
>
> > Shuguang Sun
> > on Thu, 2 May 2019 12:57:37 +0800 writes:
>
> > Hi all,
> > When I try to compile R 3.6 in windows 10 in Rtools35, it raised the
> error message:
> > --8<---cut here---star
You probably have a malconfigured homebrew installation of R. On MacOS
it is recommended to use the CRAN version of R
https://cran.r-project.org/bin/macosx/. The homebrew version depends
on gcc compilers and does not support cran binary packages.
If you really want to use the homebrew R try ruling
On Sat, Oct 24, 2015 at 1:35 PM, Duncan Murdoch
wrote:
>
> > However, editing the file with a text editor to create "proper" EOF
> > doesn't help.
>
> The problem is that you have valid-looking JSON objects on each odd
> numbered line, separated by single blank lines. The parser expects an
> EOF
> On Tue, Oct 6, 2015 at 9:42 PM, Sasikumar Kandhasamy
> wrote:
>> Thanks a lot Mike. The Linux distribution we use is "Red Hat Enterprise
>> Linux Server release 6.2".
On RHEL and CentOS the easiest and most reliable way to get R and R
packages is via EPEL. Simply add the EPEL repositories and
On Mon, Mar 9, 2015 at 3:39 PM, Hui Du wrote:
> > readLines(url)
> Error in file(con, "r") : cannot open the connection
> In addition: Warning message:
> In file(con, "r") : unsupported URL scheme
>
Try:
library(curl)
readLines(curl(url))
[[alternative HTML version deleted]]
_
On Sat, Jan 31, 2015 at 1:36 PM, Fisher Dennis wrote:
> followed by a series of errors:
> > gcc -m32 -shared -s -static-libgcc -o ../compiled/Windows32.so tmp.def
> ConvertSAS.o CKHashTable.o readstat_convert.o readstat_bits.o readstat_io.o
> readstat_sas.o -Ld:/RCompile/CRANpkg/extralibs64/local
On Wed, Jan 14, 2015 at 7:40 PM, Jeroen Ooms wrote:
> Try 'precise' instead of 'utopic'
I meant 'trusty'. The version should match the underlying ubuntu:
http://www.linuxmint.com/oldreleases.php
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R-help@r-project.o
Try 'precise' instead of 'utopic'
On Wed, Jan 14, 2015 at 7:31 PM, John Sorkin
wrote:
> I am trying to install R on Linux mint 17.1. I followed the instructions
> found on CRAN and got a messages about unmet dependencies. I detail below the
> steps I took:
>
> I added deb http://lib.stat.cmu.ed
now would be a good time to complete this
process.
We look forward to seeing all of you in California! Please keep an eye
on the conference website, which is continuously updated with most
recent news and information as it becomes available.
Best,
Jeroen, on behalf of the organizing committee
you at useR! 2014 in California!
--
Jeroen, on behalf of the useR! 2014 local organizing committee
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PLEASE do read the posting guide http://www.R-project.org/posting
rate
GAMM-models, i.e. with x1, x2, x3, and x4 seperated.
Thanks in advance.
Jeroen
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Sent from the R help mailing list archive at Nabble.com.
_
es anyone know if this is ok?
Or should I use a model which also includes terms like " te( x1 ) + ... +
te( x4 )".
And is the correlation function correct?
Thanks so much!!
Jeroen
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(x)
> identical(x1,x2)
> [1] TRUE
>
>
>
> A.K.
>
>
>
> - Original Message -
> From: Jeroen Ooms
> To: Neal Fultz
> Cc: r-help@r-project.org
> Sent: Tuesday, June 26, 2012 6:23 PM
> Subject: Re: [R] flatten lists
>
> Hmm that doesn't seem
Hmm that doesn't seem to work if the original list is nested more than
2 levels deep. I should have probably given a better example:
x <- list(name="Jeroen", age=27, married=FALSE,
home=list(country=list(name="Netherlands", short="NL"), city="Utrecht&q
I am looking for a function to flatten a list to a list of only 1
level deep. Very similar to unlist, however I don't want to turn it
into a vector because then everything will be casted to character
vectors:
x <- list(name="Jeroen", age=27, married=FALSE,
home=list(country=&
which of these are expected behavior, and which are
bugs. I reproduced it on R 2.14.1 both on Ubuntu Linux and Windows
7...
Below some code. The files that are referenced in the code are
available for download on http://www.stat.ucla.edu/~jeroen/spss/
#load library
library(foreign)
#problem one:
Unfortunately I found myself in the same position as outlined above, where I
was requested to reproduce 'standardized regression coefficients' as
reported by SPSS. Below an example that produces something very similar to
the results table from an SPSS "Linear Regression" procedure, including the
st
Bumping this one up because the 'before.plot.new' solution turned out
to be sub-optimal after all.
>> It should be possible to do this with a before.plot.new hook, right?
>
> Yes, sure, if you treat the first and last plot separately.
It turns out that the before.plot.new hook does not is not tri
Thanks I didn't know about that. I ended up with something like this.
Is there a more elegant way to do it?
myplots <<- list();
hasplots <<- FALSE;
setHook("before.plot.new", function(...) {
if(hasplots == FALSE){
hasplots <<- TRUE;
} else {
myplots[[length(myplots)+1]] <<- rec
;> greg.s...@imail.org
>> 801.408.8111
>>
>>
>> -Original Message-
>>> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
>>> project.org] On Behalf Of Jeroen Ooms
>>> Sent: Monday, July 11, 2011 12:22 PM
>>> To: David
>
> You can also save a data (or function) object to an .Rdata file with
> save(objname, file="filename.Rdata") and your colleagues could then
> load("filename.Rdata") in R.
>
Thanks for the responses. I found an old post by Gabor Grothendieck that
shows what I want. Basically the trick is to sav
ot be elegant, but why not just use a loop:
>
The thing is that were are going to use this operation on a (very) large
scale in a production environment, on datasets for which nrow >> ncol. So I
would like the most efficient solution and if possibly, avoid looping ove
I need to convert a dataframe to a record-structure, to be able to encode it
later in JSON. Suppose this is the data:
mydata <- data.frame(foo=1:3, bar=c("M","M","F"));
I would like to convert this to a unnamed list (json array) of key-value
pairs. For example like this:
apply(data.frame(foo=1:3
I have a dependent variable with is very peaked and has heavy tails,
something I haven't encountered before. (histogram:
http://postimage.org/image/2sw9bn8pw/). What could be an appropriate family
or transformation to do regress on this?--
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I was wondering if there exists a function that automatically tries to detect
the format of a datafile. E.g. if it is an ascii datafile, that it can
detect appropriate defaults for the read.table() parameters. One could for
example read the first 10 lines of the file and analyze the format of the
f
Is there an easy way to turn a vector of length n into an n by n matrix, in
which the diagonal equals the vector, the first off diagonal equals the
first order differences, the second... etc. I.e. to do this more
efficiently:
diffmatrix <- function(x){
n <- length(x);
M <- diag(x);
> No, but what is wrong with using system()?
The application is running in a very sandboxed environment and might
not have permission to execute 'file'.
> 'file' is large and complex because it tries to be comprehensive (but it
> still does not know about some common systems, e.g. 64-bit Windows
Is there a way in R (in Linux) to detect the type of a file without invoking
a shell? E.g to do this:
> system("file density.plot")
density.plot: PDF document, version 1.4
but without using system()? I tried file() and file.info(), but both do
display the information I am looking for.
--
View
The problem has been resolved thanks to Tom Callaway from Redhat:
Tom Callaway wrote:
>
> Looking at the R source code, it uses Cairo to do the SVG creation, and
> the Cairo in RHEL-5 is very (very) old (1.2.4).
>
> Digging through Cairo's changelogs post 1.2.4, I came across this:
>
> "SVG: F
ument lists for possible S3
> >> methods (e.g. 'digits' is an argument to print.default), and then
> >> there is S4 to think about. Also, can arguments be matched by partial
> >> names? Can they be given in the argument list without a name?
> >
son to want to do it this
> way...
>
> Cheers
> Felix
>
>
> On 14 March 2011 14:24, Jeroen Ooms wrote:
> > I would like to define a recursive equivalent to call or do.call, which
> takes
> > a vector of multiple function names and 'chains' them, by greed
I would like to define a recursive equivalent to call or do.call, which takes
a vector of multiple function names and 'chains' them, by greedy matching of
arguments down the chain. For example, I would like to be able to do:
rec.do.call(c("glm","coef","print), list(formula=dist~speed, digits=3,
da
latest R binary from EPEL. Other than that both boxes are pretty clean, with
only the dependencies installed that are automatically installed when
installing R.
For example a testscript like this
svg("plot.svg");
plot(cars);
dev.off();
should produce this: http://www.stat.ucla.edu/~je
into infinite
recursion if every list's attributes is another list with at least a 'names'
attribute?
On Tue, Mar 1, 2011 at 2:30 AM, Duncan Murdoch wrote:
> On 11-02-28 11:17 PM, Jeroen Ooms wrote:
>
>> I am trying to encode arbitrary S3 objects by recursively loo
I am trying to encode arbitrary S3 objects by recursively looping over the
object and all its attributes. However, there is an unfortunate feature of
the attributes() function that is causing trouble. From the manual for
?attributes:
The names of a pairlist are not stored as attributes, but are re
What is the most efficient method of parsing a dataframe-like structure that
has been json encoded in record-based format rather than vector based. For
example a structure like this:
[ {"name":"joe", "gender":"male", "age":41}, {"name":"anna",
"gender":"female", "age":23} ]
RJSONIO parses this a
I am trying to reproduce this setting, but it does not seem to work anymore.
I keep getting the error: execve failed: No such file or directory.
One of the reasons is that /usr/local/bin/Rserve is no longer a standalone
executable, and is now initiated using R CMD Rserve. However, after making
th
We're using Rserve as a back-end in our application. A problem that we
experienced is that the Rserve connection gets stuck when R is asking for
some kind of user interaction. For example, when executing an
'install.packages' command for the first time without specifying the repos
argument, R will
Ah Phil Spector is right, nothing is converted. I'm almost too embarrassed to
admit it, but actually, it was Excel that tricked me. It displays date
fields differently than they are stored in the csv file, and once you press
'save', it saves everything to a different format, completely unasked.
N
Yes I know I can manually do it, but I am using it for scripts in which users
upload files. Hence, I don't know what's going to come; I don't know on
before hand whether data will contain Dates, and in which columns they
appear. This is why I was surprised that read.table has some (undocumented)
b
When read.table imports a table that includes a header called 'Date', it
tries to recognize the date format. For example, if one imports this data
from Yahoo finance, the Date column is automatically transformed to Y-m-d,
whereis in the data it appears as m/d/Y:
myData <-
read.csv("http://ichart.
A new version of the ggplot2 web interface has been released. Info and a demo
video are available here: http://www.stat.ucla.edu/~jeroen/ggplot2/. The new
version has a lot of new features, like advanced data import, integration
with Google docs, converting variables from numeric to factor to
Hi Felipe,
my apps are completely webbased, so you cannot use them offline,
unless you are hosting a mirror locally or in your LAN (which can be
arranged if you are interested).
Jeroen
2009/12/7 Felipe Carrillo :
> Hi Jeroen:
> This is great for someone who is point and click oriente
spss
datafile, none of this should be a concern.
Supported browsers are IE6-8, FF, Safari, and Chrome, but a recent
browser is highly recommended. As always, feedback is more than
welcome.
Jeroen
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numerical integration?
-----
Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University
Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my
current projects.
--
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. What could be an appropriate package or function for one-dimensional
bounded optimization, that includes some protection against local minima?
-
Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University
Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my
e it. Any
feedback/suggestions/bugreports are welcome of course.
note: because this is a public demo server, R sessions are currently limited
to 40seconds. If you experience timeouts, try again later (server can be
busy).
Thank you!
Jeroen
-----
Jeroen Ooms * Dept. of Methodology and Statis
tex/latex/geometry/geometry.cfg))
No file file643c9869.aux.
[1] (./file643c9869.aux) )
Output written on file643c9869.dvi (1 page, 372 bytes).
Transcript written on file643c9869.log.
Error: Can't open display:
-
Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University
Visit htt
2009/9/5 Henrique Dallazuanna
>
> Try this:
> anova(myModels[[1]],myModels[[2]])
>
> do.call(anova, myModels)
Does this work for you? Both functions are failing here:
> anova(myModels[[1]],myModels[[2]])
Error in names(mods) <- sapply(as.list(mCall)[c(FALSE, TRUE, modp)],
as.character) :
'name
dels as a
seperate argument?
-----
Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University
Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my
current projects.
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of records, while keeping the
datatypes for every field?
-
Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University
Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my
current projects.
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ed by R-devel-2.9.1-1.el5.x86_64
What could be the problem?
-
Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University
Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my
current projects.
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My humble apologies for double posting. I made an error with my
subscription and erroneously thought that my message was not sent to the
list.
Jeroen.
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PLEASE do read
he plot will be skewed towards the right.
See for example:
file("http://dckd.nl/~jeroen/drop/example.rdata";)
smoothScatter(d,log="x")
smoothScatter(log(d$x),d$y)
I could also use the latter way to produce the result, but I would like
to use the original units on the x-axis,
he plot will be skewed towards the right.
See for example:
file("http://dckd.nl/~jeroen/drop/example.rdata";)
smoothScatter(d,log="x")
smoothScatter(log(d$x),d$y)
I could also use the latter way to produce the result, but I would like
to use the original units on the x-axis, not
>
> I agree with Thomas, over the years I have installed R on at least 5
> computers.
>
I don't see why per-marchine statistics would not be useful. When you
installed a package on five machines, you probably use it a lot, and it is
more important to you than packages that you only installed once.
!
-
Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University
Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my
current projects.
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Sent from the R
crosslevel interactions without a random slope for the lower level
variable. Now I'm confused. Is there a fundamental difference between a
crosslevel interaction, or is the same thing as a regular interaction when
the model also holds an error term for the lower level variable?
-
Jeroen Ooms *
solved:
There was indeed a problem with exec rights in the /tmp dir as they were set
by my VPS host. I fixed it by creating a dir 'tempdir' in my homedir, and
giving it 777 rights. Then set the environment variable TMPDIR in R:
Sys.setenv(TMPDIR="/home/jeroen/tempdir");
ins
I use a CentOS 5.2 VPS to generate graphs through an R web-application. I
generate generate both pdf() and png() formats of the graphs. The pdf works
just fine and generates perfect pictures. However, the figures generated by
the png() (and also the jpg) device are messed up.
The weird thing is
I am trying to install package "Cairo" on CentOS 5.2, but I keep getting this
error:
* Installing *source* package 'Cairo' ...
/usr/lib64/R/bin/INSTALL: ./configure: /bin/sh: bad interpreter: Permission
denied
ERROR: configuration failed for package 'Cairo'
** Removing '/usr/lib64/R/library/Cairo
Maybe this is more of a statistical question than an R question, but I am
going to ask it anyway :) Cortisol and Testosteron are known to interact in
the body, and some literature suggest that especially the ratio between the
two is a good predictor. So I want to add the ratio predictor (y~cort/te
I would like to estimate a 95% highest density area for a multivariate
parameter space (In the context of anova). Unfortunately I have only
experience with univariate kernel density estimation, which is remarkebly
easier :)
Using Gibbs, i have sampled from a posterior distirbution of an Anova mod
thank you, both solutions are really helpful!
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I am using density() to plot a density curves. However, one of my variables
is truncated at zero, but has most of its density around zero. I would like
to know how to plot this with the density function.
The problem is that if I do this the regular way density(), values near zero
automatically ge
, Duncan Murdoch <[EMAIL PROTECTED]> wrote:
> On 10/20/2008 4:34 PM, Jeroen Ooms wrote:
>>
>> I'm getting a unexpected compiling error when doing make:
>>
>> gcc -std=gnu99 -I../../src/extra/zlib -I../../src/extra/bzip2
>> -I../../src/extra/pcre -I. -I../
I'm getting a unexpected compiling error when doing make:
gcc -std=gnu99 -I../../src/extra/zlib -I../../src/extra/bzip2
-I../../src/extra/pcre -I. -I../../src/include -I../../src/include
-I/usr/local/include -DHAVE_CONFIG_H -fpic -g -O2 -c platform.c -o
platform.o
platform.c: In function 'd
I'm getting a unexpected compiling error when doing make:
gcc -std=gnu99 -I../../src/extra/zlib -I../../src/extra/bzip2
-I../../src/extra/pcre -I. -I../../src/include -I../../src/include
-I/usr/local/include -DHAVE_CONFIG_H -fpic -g -O2 -c platform.c -o
platform.o
platform.c: In function 'do_
Thomas Chu wrote:
>
> Neither of those 3 lines of commands managed to drop x4 and its P value
> magically decreased from 0.94 to almost 0! I am also baffled by how R
> calculated those RSS.
>
Maybe it is using a different type of SS. If i have a lm() model, and i do:
options(contrasts=c("con
Werner Wernersen wrote:
>
> I have done oo programming in C++ and Java before but the first few
> tutorial on R oo were a bit confusing for me.
>
My personal experience is that the type of OO programming that makes for
example Java code nice and easy to structure is not possible in R. The
bigg
Is it possible to fit a structural equation model with link functions in R? I
am trying to build a logistic-regression-like model in sem, because
incorporating the dichotomous variables linearly seems inappropriate. Mplus
can do something similar by specifying a 'link' parameter, but I would like
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