On Mon, Dec 29, 2014 at 10:52 AM, ALBERTO VIEIRA FERREIRA MONTEIRO
wrote:
> Is there any way to detect which calls are consuming memory?
>
> I run a program whose global variables take up about 50 Megabytes of
> memory, but when I monitor the progress of the program it seems to
> allocating 150 Me
You might find the advice at http://adv-r.had.co.nz/memory.html helpful.
Hadley
On Tue, Dec 30, 2014 at 7:52 AM, ALBERTO VIEIRA FERREIRA MONTEIRO
wrote:
> Is there any way to detect which calls are consuming memory?
>
> I run a program whose global variables take up about 50 Megabytes of
> memory
Pushpa,
To extend John Fox's answer a little.
Look at the "outliers" dataset in the TeachingDemos package, see
"?outliers" and run the examples on that help page. Then ask yourself if
you are comfortable with the automatic outlier removal shown in the example.
On Mon, Dec 29, 2014 at 12:39 PM,
Let windows prompt you for your password when it is needed... don't run
anything as Administrator directly unless you are prepared to fix the problems
that occur.
---
Jeff NewmillerThe .
I guess I skipped an option during installation. I removed the program now.
Do u think I should choose something else than administrator?
From: emorway [via R] [mailto:ml-node+s789695n4701164...@n4.nabble.com]
Sent: Monday, December 29, 2014 12:13 AM
To: Bros
Subject: Re: Installation Help
Dear Pushpa Methekar,
This apparently uses the outlierTest() function in the car package. I'm
afraid that I find your code incomprehensible and there's not enough
information here to reproduce what you've done. You're looping over the
index i in 1:10, explicitly incrementing the loop index at the
On 29/12/2014 1:52 PM, ALBERTO VIEIRA FERREIRA MONTEIRO wrote:
> Is there any way to detect which calls are consuming memory?
The Rprofmem() function can do this, but you need to build R to enable
it.Rprof() does a more limited version of the same thing if run with
memory.profiling = TRUE.
Du
eigs() is from a contributed package. No idea what it is about, but my
guess is these are actually numerical differences coming from different
algorithms used to calculate the eigenvalues.
For details, please ask the author of the corresponding contributed package.
Best,
Uwe Ligges
On 29.12.2
Is there any way to detect which calls are consuming memory?
I run a program whose global variables take up about 50 Megabytes of
memory, but when I monitor the progress of the program it seems to
allocating 150 Megabytes of memory, with peaks of up to 2 Gigabytes.
I know that the global variable
Dear R users and contributors,
I recently observed a difference between the outputs of the classic
eigen() function, and the Arnoldi variant eigs() that extracts only
the few first eigenpairs. Here is some sample code illustrating the
problem:
library(rARPACK)
library(speccalt)
set.seed(1)
# com
Hi all, I am stuck on outlier, while doing regression analysis. I done up to
modelling ,I got lm model for each y and x.
Now I want to find out outlier in that models. How do I find out outlier and
remove them.
for(i in 1:10){
t1=print(outlierTest(fitted.modely1.temp.l ,cutoff=0.05, n.max=1, or
To whom it may concern
My name is Kenta Suzuki. Today I subscribed the R-help. I do not know about
this R-help in detail but I send this e-mail since I have some trouble on
programming R. When I type help() in general id dose not work properly. For
instance, when I type, help("plot") in R, it sh
Dear Users,
Would you pls help me to write a proper geom_text addition to geom_hline of my
ggplot2.
This is d.oran
Tarih EUROUSD USDJPY EUROJPY
1 2005-01-01 1.378200 1.034654 1.425960
2 2005-01-02 1.373217 1.027268 1.410662
3 2005-01-03 1.364489 1.024884 1.398443
4 2005-01-04 1.35276
Thanks Bill,
That is what I was looking for.
Gerrit
On 12/29/2014 05:53 PM, William Dunlap wrote:
as.vector(x) will return x without any attributes and
structure(x, attrA=NULL, attrB=NULL) will return x
without the named attributes.
> z <- f(1:3, 4)
> z
[1] 14
attr(,"gradient")
as.vector(x) will return x without any attributes and
structure(x, attrA=NULL, attrB=NULL) will return x
without the named attributes.
> z <- f(1:3, 4)
> z
[1] 14
attr(,"gradient")
[1] -6 -4 -2
> as.vector(z)
[1] 14
> structure(z, gradient=NULL)
[1] 14
as.vector is a gen
Thanks Duncan.
But my question was how to extract
simply the function value from value,
without the gradient attribute?
I see that things like value<2 give the right answer.
I was curiosity. I found now that value[1]
gives strips the attributes from value:
--
> value
[1] 1
attr(,"gradient")
On 29/12/2014 10:32 AM, Gerrit Draisma wrote:
> Just a curiosity question:
>
> In the documentation for the nlm procedure
> a find this example of defining a function
> with a gradient attribute:
> ---
> f <- function(x, a)
> {
> res <- sum((x-a)^2)
> attr(r
Therneau, Terry M., Ph.D. mayo.edu> writes:
>
>
> On 12/26/2014 05:00 AM, r-help-request r-project.org wrote:
> > i want to analyse survival data using typeI HALF LOGISTIC
> > DISTRIBUTION.how can i go about it?it installed one on R in the
> > survival package didn't include the distribution..
Just a curiosity question:
In the documentation for the nlm procedure
a find this example of defining a function
with a gradient attribute:
---
f <- function(x, a)
{
res <- sum((x-a)^2)
attr(res, "gradient") <- 2*(x-a)
res
}
---
I get the
Comments in line
On 24/12/2014 22:09, Ruzan Udumyan wrote:
Dear Michael,
Thank you very much for your reply. The more complete information is as
follows:
I want to do a mediation analysis following the below-mentioned syntax
from:
http://www.biomedcentral.com/content/supplementary/1471-2288-14
Let's step back for a moment and look at the larger picture. There are
real advantages to using packages on CRAN, including convenient
installation, updates, etc., so let's see if we can find a package on
cran that does what we want:
install.packages("sos")
library(sos)
findFn("raxml")
This sugge
Dear Rui,
thanks for the reply. I tried it but there were serious problems with
the function itself: I can't use it as is because there were different
error messages according to the parameters passed to it.
Such function has to be re-written on purpose or I should call the RAxML
function from
Hi David,
1) set size to a fixed value instead of mapping it to a constant,
i.e., geom_line(size = 2) instead of geom_line(aes(size = 2))
2) perhaps
ggplot(rtest, aes(x=Time, y=Calculated,color=Model, group=Model)) +
geom_line(size = 2) +
geom_point(aes(y=Observed, shape=""),
si
On 12/26/2014 05:00 AM, r-help-requ...@r-project.org wrote:
i want to analyse survival data using typeI HALF LOGISTIC
DISTRIBUTION.how can i go about it?it installed one on R in the
survival package didn't include the distribution...or i need a code to
use maximum likelihood to estimate the par
Hello,
You can put the code of that function in a separate file, say "raxml.R"
and then use source("raxml.R"). See the help page ?source.
Hope this helps,
Rui Barradas
Em 28-12-2014 23:09, Luigi Marongiu escreveu:
Dear all,
I would like to run RAxML for phylogenetic analysis as indicated on
On 28/12/2014 21:52, Jeff Newmiller wrote:
Very few attachment file types are allowed through the mailing list, and
yours did not make it.
I noticed that your format strings did not appear consistent... see the
format string I use below, and make sure the characters between the
numeric parts of
26 matches
Mail list logo
