>
> plot(Capa.diss,Capa.diss.age,ylim =
> rev((range)(Capa.diss.age=c(min(Capa.diss.age),
> 10500))),xlim=(c(0,30)),type="l")
> Capa.diss2<-Capa.diss*0.7
> par(new=TRUE)
> plot(Capa.diss2, Capa.diss.age, col='black',type="l",ylim =
> rev((range)(Capa.diss.age=c(min(Capa.diss.age), 10500))),
>
readLines (as well as other I/O routines) handles gzip files transparently, you
should be able to simply use
readLines('/home/file.gz’)
Benno
On 10 Feb 2015, at 22:45 , Alexandra Catena amc5...@gmail.com wrote:
Hello,
Can someone help me with unzipping a .gz file. I used:
It can be simplified a bit, though, as the second operand in the multiplication
does not need to be a matrix:
y * rep(z,each=3)
On 19 Nov 2014, at 16:24 , Jeff Newmiller jdnew...@dcn.davis.ca.us wrote:
When your matrices are the same size, the * operator does what you want.
On 17 Oct 2014, at 06:29, PO SU rhelpmaill...@163.com wrote:
e.g. 2++ will let 2 be 3
That would not even work in C ...
While I use this in C, I second Rolf on the general issue.
Benno__
R-help@r-project.org mailing list
I’d start trying to understand the error message - it is actually pretty clear
(see ?curve).
I suspect curve is not the function you want to use, rather something like
plot(data$arrival_time, dexp(data$arrival_time, rate=0.06), xlim = c(0, 60),
type=‘l’, main = Exponential distribution”)
Try
as.numeric(sub(.*\\(,, sub('\\)','',aa)))
You may also want to look at regexec/regmatches for a more general approach ...
On 02 Mar 2014, at 20:55, Doran, Harold hdo...@air.org wrote:
1 (472) 2 (445) 3 (431) 3 (431) 5 (415) 6 (405) 7 (1)
Benno Pütz
Statistical Genetics
MPI of Psychiatry
code.
Benno Pütz
Statistical Genetics
MPI of Psychiatry
Kraepelinstr. 2-10
80804 Munich, Germany
T: ++49-(0)89-306 22 222
F: ++49-(0)89-306 22 601
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https
]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Benno Pütz
Statistical Genetics
MPI of Psychiatry
.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Benno Pütz
Statistical Genetics
MPI of Psychiatry
the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Benno Pütz
Statistical Genetics
MPI of Psychiatry
Kraepelinstr. 2-10
80804 Munich, Germany
T: ++49-(0)89-306 22 222
F: ++49-(0)89-306 22 601
and provide commented, minimal, self-contained, reproducible code.
Benno Pütz
Statistical Genetics
MPI of Psychiatry
Kraepelinstr. 2-10
80804 Munich, Germany
T: ++49-(0)89-306 22 222
F: ++49-(0)89-306 22 601
[[alternative HTML version deleted
Hi Lisa,
On 4.Aug.2011, at 22:24, Lisa wrote:
Dear All,
I am trying to add some text annotation to a graph using matplot() as
follows:
vars - c(v1, v2, v3, v4, v5, v6, v7, v8, v8, v10)
id - seq(5.000, 0.001, by = -0.001)
sid - c(4.997, 3.901, 2.339, 0.176, 0.151, 0.101, 0.076,
How about
as.matrix(p.adjust(as.dist(pmat)))
Benno
On 4.Apr.2011, at 17:02, January Weiner wrote:
Dear all,
I have an n x n matrix of p-values. The matrix is symmetrical, as it
describes the each against each p values of correlation
coefficients.
How can I best correct the p
Maybe
lapply(l,function(x){x[1,1]})
or
unlist(lapply(l,function(x){x[1,1]}))
does what you want?
Benno
Am 17.Nov.2010 um 15:01 schrieb soeren.vo...@eawag.ch:
m - matrix(1:9, nrow=3, dimnames=list(LETTERS[1:3], letters[1:3]))
l - list(m1=m, m2=m*2, m3=m*3)
l[[3]]
Am 23.Sep.2010 um 18:27 schrieb Ralf B:
I wonder what the best way is to access those values. I am using the
following code:
x1 - c(1,2,1,3,5,6,6,7,7,8)
x2 - c(1,2,1,3,5,6,5,3,8,7)
d1 - density(x1, na.rm = TRUE)
d2 - density(x2, na.rm = TRUE)
plot(d1, lwd=3, main=bla)
lines(d2, lty=2,
Maybe
perp.slope = -1/slope
abline(cy - cx*perp.slope, perp.slope)
where cx, cy are x- and y-coordinate of C, resp., and slope the slope you
calculated for the line through A and B
Am 24.Aug.2010 um 0:04 schrieb CZ:
Hi,
I am trying to draw a perpendicular line from a point to two
Under UNIX I usually write something like
system(paste(echo ',...,', sep=sep))
where I replace the '...' with whatever I need to show.
This would need some adjustments for non-scalars, though.
Benno
Am 18.Mai.2010 um 19:10 schrieb Jimmy Söderly:
Dear R users,
I am using the
Thanks for this advice - and to second Gabor's experience: I just
tried it on a couple of my files and achieved reductions on the order
of 90% (28.6MB to 4.4MB and 1.5GB to 170MB)!
This file contains lots of small plots but also many scattersmooth()-
images ...
So I think it does quite well
Am 22.Apr.2009 um 21:45 schrieb Duncan Temple Lang:
Hi Benno et al.
I have had some code for reading RDA files via R functions
and binary connections. It is available from
http://www.omegahat.org/RDA
or
install.packages(RDA, repos = http://www.omegahat.org/R;,
Am 21.Apr.2009 um 19:16 schrieb Dimitri Liakhovitski:
Can't you just read in the very first line of the file (that
contains names)?
Dimitri
2009/4/21 Benno Pütz pu...@mpipsykl.mpg.de:
Is there a way of listing the variables contained in a file created
with the save() command other than
Am 22.Apr.2009 um 17:21 schrieb Dimitri Liakhovitski:
Why do you use save()?
Can't you write out data frame(s) with your variables in a .txt or a
.csv file and then read in just the variable names?
I could, but ...
As save() writes a binary (and by default compressed) format that
is
Is there a way of listing the variables contained in a file created
with the save() command other than load()ing the file?
I have a couple of rather larger files that I would rather not load ...
Benno Pütz
MPI of Psychiatry Tel: +49+(0)89-30622 222
Kraepelinstr. 2 Fax
On 29.Jul.2008, at 14:13, ONKELINX, Thierry wrote:
Dear Frederike,
#Both your functions are vectorized. So you don't need loops. Working
with vectorized functions is much faster than looping.
fn - function (x,y) {
ifelse(x46 x52 y12, 1, 0)
}
datagrid - expand.grid(i = 40:60, j = 0:20)
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