Hello,
Is is truly
y=max(y)-min(y)
what you want below?
Best regards,
Carlos J. Gil Bellosta
http://www.datanalytics.com
On Fri, 2009-01-02 at 13:16 -0500, Stavros Macrakis wrote:
> I think there's a pretty simple solution here, though probably not the
> most efficient:
>
> t(sapply(split(a
On Fri, 2 Jan 2009, Markus Loecher wrote:
Thank you for the quick reply.
It seems that Ctrl-C interrupts "pure" R functions (i.e. R scripts that do
not call external compiled libraries) but when I run functions that in turn
call external C code (such as gam() in the package mgcv), the Ctrl-C doe
On 02/01/2009 7:33 PM, Stavros Macrakis wrote:
On Fri, Jan 2, 2009 at 5:56 PM, Duncan Murdoch wrote:
I don't agree. If you add too much technical detail to a topic, then people
don't "work through it". I'd say the r pages generally give enough
detail now, but not too much. If you add every d
On Fri, Jan 2, 2009 at 5:56 PM, Duncan Murdoch wrote:
> I don't agree. If you add too much technical detail to a topic, then people
> don't "work through it". I'd say the r pages generally give enough
> detail now, but not too much. If you add every detail that might interest
> someone somewher
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Duncan Murdoch
> Sent: Friday, January 02, 2009 2:57 PM
> To: Stavros Macrakis
> Cc: r-help@r-project.org
> Subject: Re: [R] runif limited precision
>
> On 02/01/2009 4:16 PM, St
The following seems to work too:
expr2 <- expression(a>0)
expr2 <- as.expression( bquote(.(expr2[[1]]) & b>0 ) )
Here as.expression converts the 'call' type returned by bquote to 'expression'
type.
Thanks again Dunkan.
Vadim
-Original Message-
From: Duncan Murdoch [mailto:murd...@stat
On 02/01/2009 4:16 PM, Stavros Macrakis wrote:
On Fri, Jan 2, 2009 at 4:03 PM, Duncan Murdoch wrote:
On 02/01/2009 2:45 PM, Stavros Macrakis wrote:
...So I'd think that either runif should give full precision or
its documentation should mention this limitation.
It refers to the .Random.seed p
I've been using parApply() in snow package for parallel computing with
the following lines in R 2.8.1:
library(snow)
nNodes <- 4
cl <- makeCluster(nNodes, type = "SOCK")
fm <- parApply(cl, myData, c(1,2), func1, ...)
Since I have a Mac OS X (version 10.4.11) with two dual-core
processors,
resending to provide a more informative subject line
On Fri, Jan 2, 2009 at 3:21 PM, Kingsford Jones
wrote:
> Hi David,
>
> A general answer to your question is: yes, R would be useful for such
> analyses - particularly when interfaced with a GIS. For an
> introduction to the types of spatia
Hi David,
A general answer to your question is: yes, R would be useful for such
analyses - particularly when interfaced with a GIS. For an
introduction to the types of spatial tools available in R see the Task
View for spatial data:
http://cran.r-project.org/web/views/Spatial.html
Below are a fe
On Fri, Jan 2, 2009 at 4:03 PM, Duncan Murdoch wrote:
> On 02/01/2009 2:45 PM, Stavros Macrakis wrote:
>> ...So I'd think that either runif should give full precision or
>> its documentation should mention this limitation.
>
> It refers to the .Random.seed page for details, and that page mentions
Thank you for the quick reply.
It seems that Ctrl-C interrupts "pure" R functions (i.e. R scripts that do
not call external compiled libraries) but when I run functions that in turn
call external C code (such as gam() in the package mgcv), the Ctrl-C does
not appear to propagate that deeply, if I m
On 02/01/2009 2:45 PM, Stavros Macrakis wrote:
runif appears to give 31 bits of precision, but this isn't mentioned
in the documentation page. The R numeric type supports 53 digits of
precision, and other numeric functions (sin, etc.) give full-precision
results. So I'd think that either runif s
There is another undocumented glitch in sample:
sample(2^31-1,1) => OK
sample(2^31 ,1) => Error
I suppose you could interpret "sampling takes place from '1:x' " to
mean that 1:x is actually generated, but that doesn't work as an
explanation either; on my 32-bit Windows box, 1:(2^29) giv
runif appears to give 31 bits of precision, but this isn't mentioned
in the documentation page. The R numeric type supports 53 digits of
precision, and other numeric functions (sin, etc.) give full-precision
results. So I'd think that either runif should give full precision or
its documentation sh
xxx wrote:
> On Fri, Jan 2, 2009 at 10:07 AM, Wacek Kusnierczyk
> wrote:
>
>> ... 'sample' takes a sample of the specified size from the elements of
>> 'x' using either with or without replacement.
>>
>> x: Either a (numeric, complex, character or logical) vector of
>> mo
Dear Sirs:
I am not yet a user of R. My background includes the use of (Turbo)
Pascal for scientific analysis of underwater acoustics problems (e.g.
sound ray tracing and array gain in directional noise fields.)
I have become interested in the following type of problem:
(1) select , say, 1000
I think there's a pretty simple solution here, though probably not the
most efficient:
t(sapply(split(a,a$ID),
function(q) with(q,c(ID=unique(ID),x=unique(x),y=max(y)-min(y)
Using 'unique' instead of min or [[1]] has the advantage that if x is
in fact not time-invariant, this gives an err
You mean like the 'Archive' on CRAN? It is linked from the main packages
page, at the bottom.
However, I've not heard of that package on CRAN, and it is not in the
Windows binary list from 2004 for R 1.7.x.
I don't think it ever was on CRAN. Try www.agric.wa.gov.au, which is
where Google s
on 01/02/2009 08:38 AM francogrex wrote:
> What happens to old R packages? Is there a place where they are stored like
> an archive? I'm looking for a package called ScanoR that doesn't exist
> anymore on CRAN, the author doesn't exist anymore... I had made copies of
> all packages (fearing that so
Good morning and good year :D
Thanks so much, I did what you told me (that actually was the same I was
doing but wit a previus version of R and WinEdt) and it worked out well.
Thank's again.
On Thu, Jan 1, 2009 at 8:28 AM, Uwe Ligges
wrote:
> Well, I really cannot understand everything in your
perfect... I thought it was "print". thanks much!
On Jan 2, 3:13 am, Matthias Kohl wrote:
> In case of S4 objects "show" is called. Hence, you should implement new
> S4-methods for show ...
>
> Matthias
>
>
>
> m.u.r. wrote:
> > Sorry in advance if this is too simple a question, but I'm stuck
--- Begin Message ---
Apologies -- you are being more subtle than I thought. Nevertheless, I think
that the censoring language isn't quite right.
You are thinking of a hierarchical model:
z ~ N(Xb, sigma), where Xb is the linear predictor, whatever covariates you
think belong in the m
What happens to old R packages? Is there a place where they are stored like
an archive? I'm looking for a package called ScanoR that doesn't exist
anymore on CRAN, the author doesn't exist anymore... I had made copies of
all packages (fearing that some might be "taken off the air" but
unfortuantel
Hi friends,
If someone can find out some time to go through my problem would be really
grateful.
I have a dataset(dataset1) as shown below:--
recmeanC1 recmeanC2 recmeanC3recmeanC4 i1 i2 i3 i4 i5 i6 i7
i8 i9 i10 i11
1 NA 1 1.00 1.8
Here is a fast approach using the Hmisc package's summarize function.
> g <- function(w) {
+ time <- w[,'time']; y <- w[,'y']
+ c(y[which.min(time)], y[which.max(time)])}
>
> with(DF, summarize(DF, ID, g, stat.name=c('first','last')))
ID first last
1 120 40
2 223 38
3 310
On 02/01/2009 10:07 AM, Wacek Kusnierczyk wrote:
Stavros Macrakis wrote:
On Wed, Dec 31, 2008 at 12:44 PM, Guillaume Chapron
wrote:
m[-sample(which(m[,1]<8 & m[,2]>12),2),]
Supposing I sample only one row among the ones matching my criteria. Then
consider the case where there is jus
Stavros Macrakis wrote:
> On Wed, Dec 31, 2008 at 12:44 PM, Guillaume Chapron
> wrote:
>
>>> m[-sample(which(m[,1]<8 & m[,2]>12),2),]
>>>
>> Supposing I sample only one row among the ones matching my criteria. Then
>> consider the case where there is just one row matching this criteria.
On Fri, 2 Jan 2009, Markus Loecher wrote:
Dear fellow R users,
is there a generic way to gracefully interrupt an R function without
terminating the entire session ? I am mainly interested in this answer for
Linux and MacOS.
I found neither Esc nor Ctrl-C to work; it seems that R does not check f
On Fri, Jan 2, 2009 at 3:20 AM, gallon li wrote:
> I have the following data
>
> ID x y time
> 1 10 20 0
> 1 10 30 1
> 1 10 40 2
> 2 12 23 0
> 2 12 25 1
> 2 12 28 2
> 2 12 38 3
> 3 5 10 0
> 3 5 15 2
> .
>
> x is time invariant, ID is the subject id number, y is changing over time.
>
> I want
Duncan Murdoch-2 wrote:
>
> Whoops, sorry, Uwe's advice is right. Text help is only the default
> when run outside a console; I use Cygwin, which doesn't look like a
> console to R.
>
I am using eclipse with StatET to run R under Ubuntu 8.04 and Windows XP
Pro. I would like both implementat
Dear fellow R users,
is there a generic way to gracefully interrupt an R function without
terminating the entire session ? I am mainly interested in this answer for
Linux and MacOS.
I found neither Esc nor Ctrl-C to work; it seems that R does not check for
signals periodically?
Also, an entirely u
Hi all,
I'd like to export the results of GPD or GEV analysis generated with the
Extremes Toolbox for plotting in Grapher or Excel (for manipulation by our
publications group). Is it possible to access the data used to generate the
plots in extRemes, or do I need to code the analysis from scra
On 02/01/2009 8:11 AM, Tom La Bone wrote:
I would like to use Rterm in Windows XP and have the help files appear in
text format in the terminal rather than in the html popup window. For
example, I would like to enter help(lm) and get the text to appear in the
terminal window. Can anyone suggest a
On 02/01/2009 8:11 AM, Tom La Bone wrote:
I would like to use Rterm in Windows XP and have the help files appear in
text format in the terminal rather than in the html popup window. For
example, I would like to enter help(lm) and get the text to appear in the
terminal window. Can anyone suggest a
Tom La Bone wrote:
I would like to use Rterm in Windows XP and have the help files appear in
text format in the terminal rather than in the html popup window. For
example, I would like to enter help(lm) and get the text to appear in the
terminal window. Can anyone suggest a way to do this? Than
I would like to use Rterm in Windows XP and have the help files appear in
text format in the terminal rather than in the html popup window. For
example, I would like to enter help(lm) and get the text to appear in the
terminal window. Can anyone suggest a way to do this? Thanks and Happy Hew
Year.
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
That means, at least:
- R Version?
- OS?
- MinFileLen?
Uwe Ligges
mau...@alice.it wrote:
> MS <- floor (log2 (MinFileLen)) #NUMBER OF DECOM
> MS <- floor (log2 (MinFileLen)) #NUMBER OF DECOMPOSITION LEVELS
*** caught segfault ***
address 0x31343142, cause 'memory not mapped'
Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace
Any idea ? Thank
On 02/01/2009 6:37 AM, Allan Clark wrote:
hello all
happy new year and hope you r having a good holiday.
i would like to calculate the expectation of a particular random variable and would like to approximate it using a number of the functions contained in R. decided to do some experimentat
hello all
happy new year and hope you r having a good holiday.
i would like to calculate the expectation of a particular random variable and
would like to approximate it using a number of the functions contained in R.
decided to do some experimentation on a trivial example.
example
==
Try this:
> Lines <- "ID x y time
+ 1 10 20 0
+ 1 10 30 1
+ 1 10 40 2
+ 2 12 23 0
+ 2 12 25 1
+ 2 12 28 2
+ 2 12 38 3
+ 3 5 10 0
+ 3 5 15 2"
> DF <- read.table(textConnection(Lines), header = TRUE)
> aggregate(DF[3], DF[1:2], function(x) tail(x, 1) - head(x, 1))
ID x y
1 3 5 5
2 1 10 20
Dear Gallon,
Assuming that your data is called "mydata", something like this should do
the job:
newdf<-data.frame(
ID = unique(mydata$ID),
x = unique(mydata$x),
y = with(mydata,tapply(y,ID,function(m) tail(m,1)-head(m,1)))
)
newdf
HTH,
Jorge
On Fri, J
Hi,
I'd like to export the results of GPD or GEV analysis generated with the
Extremes Toolbox for plotting in Grapher or Excel (for manipulation by our
publications group). Is it possible to access the data used to generate the
plots in extRemes, or do I need to code the analysis from scratch
Dear all,
How can I fix the all coefficients of ar and ma, except for the sigma?
Hoping this helps,
Bernardo
__
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/p
Hello,
First, order your data by ID and time.
The columns you want in your output dataframe are then
unique(ID),
tapply( x, ID, function( z ) z[ 1 ] )
and
tapply( y, ID, function( z ) z[ lenght( z ) ] - z[ 1 ] )
Best regards,
Carlos J. Gil Bellosta
http://www.datanalytics.com
On Fri, 2009
Hi
r-help-boun...@r-project.org napsal dne 02.01.2009 10:20:23:
> I have the following data
>
> ID x y time
> 1 10 20 0
> 1 10 30 1
> 1 10 40 2
> 2 12 23 0
> 2 12 25 1
> 2 12 28 2
> 2 12 38 3
> 3 5 10 0
> 3 5 15 2
> .
>
> x is time invariant, ID is the subject id number, y is changing ove
I have the following data
ID x y time
1 10 20 0
1 10 30 1
1 10 40 2
2 12 23 0
2 12 25 1
2 12 28 2
2 12 38 3
3 5 10 0
3 5 15 2
.
x is time invariant, ID is the subject id number, y is changing over time.
I want to find out the difference between the first and last observed y
value for each
Hi
I assume that maybe package zoo and na.locf could help you.
Petr
r-help-boun...@r-project.org napsal dne 02.01.2009 09:44:00:
> Hi,
>
> I hope that someone can help me write the right commands.
> I have a data set with 3 columns
>
> player_name|number_goals|year|day
>
> not every player i
Hi...
As u stated earlier that u r able to plot map for kriging
As i am new to kriging can you please send me the kriging code for a vector
file..
Thanks in Advance
Rodrigo Aluizio wrote:
>
> Hi list,
>
> Well, this time Ive a doubt with mapping generation.
>
> I was al
Dear Juliet,
I think you want this
dataset <- rbind(foo, bar)
ggplot(dataset, aes(x = x, y = y, colour = membership)) + geom_point() +
scale_colour_manual(values = c("green", "red", "black"))
HTH,
Thierry
ir. Thier
Hi,
I hope that someone can help me write the right commands.
I have a data set with 3 columns
player_name|number_goals|year|day
not every player is listed for every year-day-hour
I would like to compute the "growth rate" of each player A so if player
scored on day X 3 goals and on day X+1 6 go
This is an FAQ (both in the main FAQ and the rw-FAQ)
http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-do-file-names-work-in-Windows_003f
http://cran.r-project.org/bin/windows/base/rw-FAQ.html#R-can_0027t-find-my-file
You may find it easier to map your network drives: most users do.
See also ?Qu
Dear Harsh,
You have to replace each "\" with "\\" or try to use "/" instead.
HTH,
Thierry
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, method
In case of S4 objects "show" is called. Hence, you should implement new
S4-methods for show ...
Matthias
m.u.r. wrote:
Sorry in advance if this is too simple a question, but I'm stuck with
some odd behavior and I can't find the text to rid myself of this
(admittedly somewhat trivial) problem.
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