It
would be very useful for many users who are not ready to switch over to a
strict conflicts.policy, to nevertheless be able to suppress messages about
expected conflicts using mask.ok and thus only get messages when unexpected
masking occurs.
=
Best,
Magnus
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of the help,
Magnus
On 11/4/2013 8:20 PM, Thomas Lumley wrote:
On Sat, Nov 2, 2013 at 11:12 AM, Martin Morgan mailto:mtmor...@fhcrc.org>> wrote:
On 11/01/2013 08:22 AM, Magnus Thor Torfason wrote:
Sure,
I was attempting to be concise and boiling it down to what
lusters to create final data set
That might work ...
Thanks!
Magnus
On 11/1/2013 4:52 PM, William Dunlap wrote:
Have you looked into the 'igraph' package?
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From: r-help-boun...@r-project.org [mai
ms to be with
entries of the form:
O->G
O->M
Which imply that all of O/M/G are equivalent, but they are not detected
as such. Will consider whether there is a good way around this.
Best,
Magnus
Here's a function that returns a unique identifier (not well tested!),
allowing for tran
There are around 16M unique values. After accounting for equivalence,
the number is much smaller (I don't know how much smaller, since my
program has not completed yet :-)
Yes, I meant that "B and C are also equivalent". The original version
was a typo.
Best,
Magnus
On 11
ingers crossed that one of the R-help geniuses who
sees this is sufficiently interested to crack the problem
Best,
Magnus
On 11/1/2013 1:49 PM, jim holtman wrote:
It would be nice if you followed the posting guidelines and at least
showed the script that was creating your entries now so that we
anner, which is
contingent on the data I am encountering, and on the contents of the
hash table at each moment.
Does anyone have a good recommendation for alternatives to implement
huge, fast, table-like structures in R?
Best,
Magnus
__
R-h
Thanks for putting together such a quick fix! Unfortunately the policy
for the system that I'm working on doesn't allow unreleased versions, so
I'll have to work around this for a little bit longer. But I'll ask my
sysadmins to install 3.0.3 as soon as it gets released.
B
uld this be considered a bug or is there a way to
explain these results in a different way?
Best,
Magnus
ps. Tested on R 3.0.1, 32 bit for Windows (as well as some older versions)
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uot;
here, but it should be using "ASCII".
I have been looking at curlSetOpt() but .encoding is not the problem here.
Is there a way to change R:s "Transfer Type" from "Binary" to "ASCII" in this
case? How?
System: windows 7
R version: 2.15.0
Than
th an introduction to the main features:
http://cran.r-project.org/web/packages/paramlink/vignettes/paramlink.pdf
Feedback, bug reports and feature requests are most welcome.
Regards,
Magnus
--
Magnus Dehli Vigeland, PhD
Department of Medical Genetics
University of Oslo
Norway
E-mail: magnu...@medisin.u
ould be if way of generating default names in this function would
be intelligent enough to never create names longer than - say 30
characters. Of course, explicit names should be honored.
Anyway, that's my thoughts on this issue. No patch attached, and I will
work around this
ue is to use the children structure in
my file (which is different compared to the one that can be used with the
"xmlToDataFrame"),
to convert the XML file to a meaningful data.frame with both categorical and
quantitative data.
Any tips or tricks? They are h
t , split=c(1,1,2,2) , more=TRUE )
print(top.right, split=c(2,1,2,2) , more=TRUE )
print(bottom.left , split=c(1,2,2,2) , more=TRUE)
print(bottom.right , split=c(2,2,2,2) )
## Example ends
Thanks again!
Magnus
On 6/25/2010 2:59 PM, Greg Snow wrote:
The layout function is base graphics,
,3,4), 2, 2, byrow = TRUE))
# Top-left, as expected
plot(rnorm(100),rnorm(100))
# Top-right, as expected
plot(rnorm(100),rnorm(100))
# But the volcano fills the whole the device ...
wireframe(volcano)
## End of example
All has been to no avail up until now. I'd be grateful for any
suggestion
> I need to remove all but one of each [row in a matrix], which
> must be chosen at random.
This request (included in full at the bottom), has been unanswered for a
while, but I had the same problem and ended up writing a function to
solve it. I call it "duplicated.random()" and it does exactly
red - isn't that the whole
point of GC, that it gets triggered when memory is running out?
I'd be grateful for advise on this: Should I just ignore these warnings
as long as there are no errors, should I bite the bullet and call gc()
manually, or is there a third way to deal with this?
the table. Unless you need to use
bigger data sets, the simplest way is probably to just use csv files,
read the contents into a data.frame with read.csv, and then use sqldf on
the data.frame if you need to do complicated subsetting)
Best,
Magnus
On 1/14/2010 2:12 AM, Juliet Jacobson wrote:
Bu
tell you that reading 1 rows should be a piece of cake on
any decent computer. Different estimation techniques are different in
terms of computational intensity. Trying it is the best approach. If you
run into problems, you could come back with specific questions of
optimization.
Best,
M
precision"
http://tolstoy.newcastle.edu.au/R/e9/help/10/01/index.html#718
Best,
Magnus
On 1/13/2010 3:25 AM, Stephan Kolassa wrote:
take a look at FAQ 7.31.
Trafim Vanishek wrote:
Does anybody know the probable reason why <= gives false when it
should give true?
that they could be jerry-rigged to
solve your problem. Even if not, the people involved may be able to
help. For example, the igraph mailing list (igraph-h...@nongnu.org) is
pretty active and the developers are very helpful.
Best,
Magnus
__
R-help@r
Would the following work, or is there a reason why it would not?
risk.set <- 1:100
first.10 <- sample(risk.set, 10)
remainder <- setdiff(risk.set, first.10)
for ( i in 1:1000 )
{
next.5 <- sample(remainder, 5)
do.something.with(next.5)
}
Best,
Magnus
On 1/12/
On 1/11/2010 10:37 AM, Martin Maechler wrote:
Magnus Torfason
Of course there is still the problem that:
> 1+1 == sqrt(2)*sqrt(2)
[1] FALSE
and gmp will not solve this . I don't know if there is an R-package for
arbitrary-precision reals floating around, but probably not.
Yes,
On 1/8/2010 1:29 PM, Magnus Torfason wrote:
Paul Evans wrote:
How can I get R to change the default precision value? For example:
x=0.9
1-x
[1] 0
Is there a way that I can get a non-zero value using some parameter,
or some package?
many thanks.
The 'gmp' pack
Paul Evans wrote:
How can I get R to change the default precision value? For example:
x=0.9
1-x
[1] 0
Is there a way that I can get a non-zero value using some parameter, or some
package?
many thanks.
The 'gmp' package allows calculation with arbitrary precision rationals
(
ill the problem that:
> 1+1 == sqrt(2)*sqrt(2)
[1] FALSE
and gmp will not solve this . I don't know if there is an R-package for
arbitrary-precision reals floating around, but probably not.
However, Wolfram Alpha will return the correct answer:
http://tr.im/1plus1equals2
Best,
Magnus
(parse(text=paste(
desired.func.name," = d$func; ",desired.func.name,"()",
sep="")))
Rprof(NULL)
######
And thanks to Jim Holtman who contacted me off-line and gave me some
helpful advice on profiling in general.
Best,
Magnus
On 1/5/2010 2:58 PM, Magnus Tor
issues would be appreciated as well (I
know of summaryRprof of course, but it can be difficult to get the full
picture from the summaryRprof output if the calling structure is
complicated).
Best,
Magnus
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-32398
> # But the labels of the lagged series could be
> # interpreted as being correct in this case
> lag(pdu$x)
1-1 1-2 1-3 1-5 1-6 1-7 2-1 2-2
NA 1 2 3 4 5 NA 7 8
attr(,"class")
[1] "integer"
>
Best regards,
Magnus
uot;)[FALSE,]
[1] hey ho
<0 rows> (or 0-length row.names)
Any thoughts? Is this a bug, and are the developers of RSQLite reading this?
Best regards,
Magnus
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PLEASE do re
> Hola!
>
> I am working on a problem where data points are (square) matrices. Is
> there a way to make a "vector" of matrices, such that it can be stored
> in a data.frame?
I agree with previous posters that in most cases, you would want to
store matrices in a list. However, if you already have
then perform an assignment using an
argument of the length I want (using mapply()). The empty list is then
recycled enough times to hold the corresponding values.
Best,
Magnus
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Live and learn ...
Thank you!
On 10/13/2009 9:57 AM, Romain Francois wrote:
On 10/13/2009 03:48 PM, Magnus Torfason wrote:
l = list(list())
for ( i in sequence(length-1) )
{
l = list(unlist(l,recursive=FALSE), list())
}
About this :
> rep( list(list()), 3 )
())
}
But it is not very neat to do this in a loop. Are there any cuter ways
to do this?
Best,
Magnus
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PLEASE do read the posting guide http://www.R-project.org
Thank you so much, relist and SIMPLIFY both work.
See more comments below ...
On 10/12/2009 5:35 PM, Charles C. Berry wrote:
On Mon, 12 Oct 2009, Magnus Torfason wrote:
I want to achieve the following:
l <- list( list(a=1,b=2), list(a=3,b=4))
l[[]]["a"] <- 5:6
&g
uot;, "a"))
[1] 1 3
>
> # This will not actually work
> l[[]]["a"] <- 5:6
>
> unlist(lapply(l, "[[", "a"))
[1] 5 6
I figure mapply is the solution to the problem, and I tried the following:
> mapply( "[<-", l,
tion was useful. My more comprehensive example assumed
that you needed to be able to match individual multi-choice selections
with other questions through the observation ID after the processing.
If that is not needed, the one-liner should be adequate
),length )
> d2 = data.frame( a=rep(d$a,counts), b=unlist(multis) )
> d2
a b
1 1 1
2 2 2
3 2 3
4 3 2
5 4 3
6 4 4
7 5 1
Best,
Magnus
On 8/19/2009 3:12 PM, Damion Dooley wrote:
I'm using read.delim to successfully read in tab delimited data, but some
columns' values are
s and regards,
Magnus
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
in this general
table.
Does there exist a general function for this test.
Best regards,
Magnus Pettersson
Statistikkonsulterna
Gårdavägen 1
412 50 Göteborg
0703-731297
www.statistikkonsulterna.se
[[alternative HTML version deleted]]
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ing something wrong here or is DBI simply not implemented for ODBC?
The latter seems unlikely considering the wide use of ODBC, but you never
know. I hope it's just me doing something wrong.
Best,
Magnus
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