You are probably using the wrong forum for this question and would save time by
posting elsewhere rather than waiting for a reply here.
The stock answer to this type of request on R-help is 'Please read the Posting
Guide (https://www.r-project.org/posting-guide.html) with special attention to
"B
Oh, great. An app [1] that introduces "me too" emails with a click and uses
HTML to tell us all about it. Jim, this is probably not a good place to use
that function. Read the posting guide about mailing list nettiquette.
[1]
http://readwrite.com/2013/06/05/new-boxer-ios-email-app-is-all-about-
Jim Mankin liked your message with Boxer. On April 18, 2015 at 10:48:17 AM MST,
Charles C. Berry wrote:On Sat, 18 Apr 2015, Brant Inman
wrote:> I have two large data frames with the following structure:>>> df1> id
date test1.result> 1 a 2009-08-28 1> 2 a 2009-09-16 1> 3 b 2008-08-06 0> 4 c
201
On Sat, 18 Apr 2015, Brant Inman wrote:
I have two large data frames with the following structure:
df1
id date test1.result
1 a 2009-08-28 1
2 a 2009-09-16 1
3 b 2008-08-06 0
4 c 2012-02-02 1
5 c 2010-08-03 1
6 c 2012-08-02 0
df2
id date te
Hi Brant,
I'm a bit confused about which data frame is the one to match to, but
the following, while still including loops, should run much faster
than the above as it only matches dates within id matches.
df1<-read.table(text="id date test1.result
a 2009-08-28 1
a 2009-09-16 1
b 2
On Dec 4, 2011, at 9:27 AM, gvjones wrote:
Hello,
Did you find anything helpful for calculating the statistical
functions in
your list. I would like to also calculate these and have been
looking for
some code to do so.
A search at the site linked by the R function RSiteSearch() produce
Hello,
Did you find anything helpful for calculating the statistical functions in
your list. I would like to also calculate these and have been looking for
some code to do so.
Thanks
--
View this message in context:
http://r.789695.n4.nabble.com/Programming-Statistical-Functions-tp2307880p41570
As Stephen pointed out, this is easy to do. The word file the OP posted has
all the necessary formulae. Now you just need to learn how to convert those
formulae into R functions
Stephen gave you an example of how to create a function for CV. Now run
with it.
perhaps something like this is w
011 14:28
> To: Nick Sabbe
> Cc: r-help@r-project.org
> Subject: Re: [R] programming: telling a function where to look for the
> entered variables
>
> Thanks Nick and Juan for your replies.
>
> Nick, thanks for pointing out the warning in subset(). I'm not sure
> th
nk: http://biomath.ugent.be
wink: A1.056, Coupure Links 653, 9000 Gent
ring: 09/264.59.36
-- Do Not Disapprove
-Original Message-
From: irene.p...@googlemail.com [mailto:irene.p...@googlemail.com] On Behalf
Of E Hofstadler
Sent: vrijdag 1 april 2011 14:28
To: Nick Sabbe
Cc: r-help@r-pro
Thanks Nick and Juan for your replies.
Nick, thanks for pointing out the warning in subset(). I'm not sure
though I understand the example you provided -- because despite using
subset() rather than bracket notation, the original function (myfunct)
does what is expected of it. The problem I have is
See the warning in ?subset.
Passing the column name of lvar is not the same as passing the 'contextual
column' (as I coin it in these circumstances).
You can solve it by indeed using [] instead.
For my own comfort, here is the relevant line from your original function:
Data.tmp <- subset(Fulldf, l
On Wed, Nov 3, 2010 at 1:04 PM, ivo welch wrote:
> thanks, eric---I need a little more clarification. *yes, I write
> functions and then forget them. so I want them to be self-sufficient.
> I want to write functions that check all their arguments for
> validity.) For example,
>
> my.fn <- fun
thanks, eric---I need a little more clarification. *yes, I write
functions and then forget them. so I want them to be self-sufficient.
I want to write functions that check all their arguments for
validity.) For example,
my.fn <- function( mylist ) {
stop.if.not( is.defined(mylist) ) #
On Nov 3, 2010, at 3:32 PM, ivo welch wrote:
thanks, barry and eric. I didn't do a good job---I did an awful job.
is.defined(never.before.seen$anything) ## if a list does not
exist, anything in it does not exist either
Except the $ function return NULL rather than an error and you alrea
alas, should R not come with an is.defined() function?
?exists
a variable may
never have been created, and this is different from a variable
existing but holding a NULL. this can be the case in the global
environment or in a data frame.
> is.null(never.before.seen)
Error: objected 'ne
thanks, barry and eric. I didn't do a good job---I did an awful job.
alas, should R not come with an is.defined() function? a variable may
never have been created, and this is different from a variable
existing but holding a NULL. this can be the case in the global
environment or in a data fram
On Wed, Nov 3, 2010 at 6:17 PM, ivo welch wrote:
> yikes. this is all my fault. it was the first thing that I ever
> defined when I started using R.
>
> is.defined <- function(name) exists(as.character(substitute(name)))
>
> I presume there is something much better...
You didn't do a good jo
the room,
the thing itself have purpose? Or do we, what's the word... imbue it."
- Jubal Early, Firefly
From:
ivo welch
To:
Erik Iverson
Cc:
r-help
Date:
11/03/2010 02:20 PM
Subject:
Re: [R] programming questions
Sent by:
r-help-boun...@r-project.org
yikes. this is all my
yikes. this is all my fault. it was the first thing that I ever
defined when I started using R.
is.defined <- function(name) exists(as.character(substitute(name)))
I presume there is something much better...
/iaw
On Wed, Nov 3, 2010 at 2:12 PM, Erik Iverson wrote:
>
>
> ivo welch wrote:
On 03/11/2010 2:05 PM, ivo welch wrote:
quick programming questions. I want to "turn on" more errors. there
are two traps I occasionally fall into.
* I wonder why R thinks that a variable is always defined in a data frame.
> is.defined(d)
[1] FALSE
> d= data.frame( x=1:5,
ivo welch wrote:
quick programming questions. I want to "turn on" more errors. there
are two traps I occasionally fall into.
* I wonder why R thinks that a variable is always defined in a data frame.
> is.defined(d)
[1] FALSE
> d= data.frame( x=1:5, y=1:5 )
> is.defined(
Maybe and r site search would help? Try and figure out how to
calculate these yourself. If you need help send a minimal,
reproducible example to this list, and you will probably recieve help.
If you need a starting place for programming functions look at an
introduction to R.
#coefficient of va
Thanks a lot, finally It works! I was wondering why my for() did not work.
Now I now the difference between i-3 and (i-3)
Thanks again for all your help.
Marlene.
> x
y vr
1 2 NA
2 1 NA
3 5 NA
4 8 4.33
5 11 12.33
6 3 9.00
7 1 16.
Hi Marlene,
x=data.frame(y,vr=NA)
for(i in 4:nrow(x)) x[i,"vr"] =var(y[(i-3):(i-1)])
will do the trick, solving both problems with overwriting subsequent
x-values and obeying the precedence of R operators.
For the latter, see ?Syntax and compare
i<-5
i-3:i-1
(i-3):(i-1)
hth.
marlene marchena
marlene marchena napsal dne 30.09.2009
13:28:16:
> Hi Petr,
>
> Thanks for your suggestion. It woks, but now I have other problem the
> positions of the values changed. I need the NA values in the three first
positions.
>
> y=c(2,1,5,8,11,3,1,7,50,21,33,7,60)
> x=as.zoo(y)
> > x
> 1 2 3
Hi Petr,
Thanks for your suggestion. It woks, but now I have other problem the
positions of the values changed. I need the NA values in the three first
positions.
y=c(2,1,5,8,11,3,1,7,50,21,33,7,60)
x=as.zoo(y)
> x
1 2 3 4 5 6 7 8 9 10 11 12 13
2 1 5 8 11 3 1 7 50 21 33 7 60
va
I think it should be
var(y[i-3:i-1,])
instead of
var(x[i-3:i-1,])
otherwise the values of the vector are overwritten
Best wishes,
Matthias
marlene marchena schrieb:
Dear R-user
Suppose I have the following data
y=c(2,1,5,8,11,3,1,7,50,21,33,7,60)
x=data.frame(y)
for(i in 4:nrow(x)
While not wholly directed towards OO programming, 'R Programming for
Bioinformatics' does cover both the S3 and S4 systems (and how to make
them play nicely together) at an accessible level.
http://www.bioconductor.org/pub/RBioinf/
Best,
Jim
Krzysztof Sakrejda-Leavitt wrote:
Tom Backer Jo
Tom Backer Johnsen wrote:
This is interesting. The fact that there are so few texts on the
subject probably means that very few are using OO programming methods in R.
That's overstating the problem. I frequently run into OO R packages and
many of them are very nicely done. Some good example
Wacek Kusnierczyk wrote:
Tom Backer Johnsen wrote:
This is interesting. The fact that there are so few texts on the
subject probably means that very few are using OO programming methods
in R.
I will probably look in the Python direction. Pity. I would have
preferred R.
if you insist on oo
Tom Backer Johnsen writes:
> This is interesting. The fact that there are so few texts on the
> subject probably means that very few are using OO programming methods
> in R.
Using python is great; your deduction about use of OO in R harder to
support. The Bioconductor project (300+ packages, no
Tom Backer Johnsen wrote:
> This is interesting. The fact that there are so few texts on the
> subject probably means that very few are using OO programming methods
> in R.
>
> I will probably look in the Python direction. Pity. I would have
> preferred R.
>
if you insist on oo, python might be
This is interesting. The fact that there are so few texts on the
subject probably means that very few are using OO programming methods in
R.
I will probably look in the Python direction. Pity. I would have
preferred R.
Tom
krzysztof.sakre...@gmail.com wrote:
I have been using Chambers f
Patrick Burns wrote:
I think that 'Software for Data Analysis'
by John Chambers should certainly be
on the reading list.
It seems that that is true. I have a number of R books, but not that
one. Thanks for the suggestion.
Tom
Patrick Burns
patr...@burns-stat.com
+44 (0)20 8525 0696
http:
The third chapter of the book "R Programming for Bioinformatics" by
Robert Gentleman is on object-oriented programming in R.
Dan Viar
Chesapeake, VA
On Tue, Mar 31, 2009 at 6:15 AM, Patrick Burns wrote:
> I think that 'Software for Data Analysis'
> by John Chambers should certainly be
> on the
I think that 'Software for Data Analysis'
by John Chambers should certainly be
on the reading list.
Patrick Burns
patr...@burns-stat.com
+44 (0)20 8525 0696
http://www.burns-stat.com
(home of "The R Inferno" and "A Guide for the Unwilling S User")
Tom Backer Johnsen wrote:
I am planning a proje
ect.org] On
Behalf Of Greg Snow
Sent: Thursday, March 26, 2009 9:54 AM
To: Bert Gunter; 'Florin Maican'; r-help@r-project.org
Subject: Re: [R] programming creating different functions in a loop
But wrong questions requiring complicated answers are sometimes more fun
:-).
One difference
Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
> -Original Message-
> From: Bert Gunter [mailto:gunter.ber...@gene.com]
> Sent: Thursday, March 26, 2009 10:33 AM
> To: Greg Snow; 'Florin Maican'; r-help@r-project.org
> Subject: RE: [R] progr
rong
question.
Cheers,
Bert
Bert Gunter
Genentech Nonclinical Biostatistics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Greg Snow
Sent: Thursday, March 26, 2009 9:25 AM
To: Florin Maican; r-help@r-project.org
Subject: Re: [R
Anytime that you are tempted to use assign and a loop, you should consider
using lapply (or sapply) and a list instead.
Consider this alternative:
> f <- lapply( 1:3, function(i){ force(i); function(x) x+i} )
>
> f[[1]](3)
[1] 4
> f[[2]](10)
[1] 12
> f[[3]](0)
[1] 3
>
> sapply( f, function(f)
Thanks Luke!
It works! My mistake was that I used "local binding" only for "i" and
not for the whole function.
Best regards,
Florin
On Thu, 26 Mar 2009 10:57:21 -0500 (CDT)
l...@stat.uiowa.edu wrote:
> for() does not creae separete bindings for the index each iteration,
> so the function bodi
for() does not creae separete bindings for the index each iteration,
so the function bodies see the global binding of i, which in this case
will be the final value. One possible solution is to use local(), e.g.
for(i in 1:3){
assign(paste("f",i,sep=""),
local({
k <- i
Berwin Turlach has pointed out that to
be equivalent to the original answer the
code should be:
plot(a, ylim = range(a) * (1 + 0.06 * c(-1,1)))
On Fri, Jan 9, 2009 at 2:22 PM, Gabor Grothendieck
wrote:
> Or even:
>
> plot(a, ylim = range(a) + 0.06 * c(-1, 1))
>
>
> On Fri, Jan 9, 2009 at 2:07 PM
WOW, Gabor, that is fancy. I have gotten better at this R thing, but
have far to go. That is a neat solution.
thanks
Stephen
On Fri, Jan 9, 2009 at 2:22 PM, Gabor Grothendieck
wrote:
> Or even:
>
> plot(a, ylim = range(a) + 0.06 * c(-1, 1))
>
>
> On Fri, Jan 9, 2009 at 2:07 PM, Mike Prager w
Or even:
plot(a, ylim = range(a) + 0.06 * c(-1, 1))
On Fri, Jan 9, 2009 at 2:07 PM, Mike Prager wrote:
> "stephen sefick" wrote:
>
>> low <- min(a*0.98)-(min(a)*0.04)
>> high <- max(a*1.02)+(max(a)*0.04)
>> plot(a, ylim=c(low, high))
>
> Unless I am misreading your example, this can be done a
"stephen sefick" wrote:
> low <- min(a*0.98)-(min(a)*0.04)
> high <- max(a*1.02)+(max(a)*0.04)
> plot(a, ylim=c(low, high))
Unless I am misreading your example, this can be done a little
more compactly as:
plot(a, ylim = range(a * 0.94, a * 1.06))
--
Mike Prager, NOAA, Beaufort, NC
* Opinions
WOW, I am not going to post after midnight. Thank you for your
response, and this is what I settled on.
`plot.e` <- function(b, w, x, y, z){
a <- window.chron(b, w, x, y, z)
low <- min(a*0.98)-(min(a)*0.04)
high <- max(a*1.02)+(max(a)*0.04)
plot(a, ylim=c(low, high))
lines(a*0.98, col="blue")
lin
On Fri, 2009-01-09 at 00:22 -0500, stephen sefick wrote:
> library(StreamMetabolism)
> plot.e <- function(b, w, x, y, z){
> a <- window.chron(b, w, x, y, z)
> low <- min(b*0.98)+5
> high <- max(b*1.02)+5
> plot(a, ylim=c(low, high))
> lines(a*0.98, col="blue")
> lines(a*1.02, col="red")
> }
>
> p
On 9/30/2008 1:02 PM, Darin Brooks wrote:
Good morning
Does R (or R users) have a formal training workshop/facility? Or do
open-source softwares generally put the onus on the user to learn
programming techniques?
Are the workshops generally offered for the masses or is there one-on-one
tr
No but there are various groups/organizations/??? who from time to time offer
courses sometimes presented by R experts and R Core developers or package
developers .
A search of the R-help archives should bring up some of these.
RSiteSearch("course") will bring up some examples that may h
smultron is my favorite editor on mac. It is more or less a text
editor with some text highlighting. I can see the use of Emacs, but
my thinking isn't quite there yet.
for what its worth
Stephen
On Tue, Sep 2, 2008 at 8:41 AM, Michael Lawrence <[EMAIL PROTECTED]> wrote:
> Am I missing something
Am I missing something or does that list not include Emacs/ESS? It's also
missing TextMate (for the Mac people). There's probably a bunch more stuff
for Eclipse than it mentions.
Michael
On Mon, Sep 1, 2008 at 6:17 PM, Gabor Grothendieck
<[EMAIL PROTECTED]>wrote:
> Check out:
> http://www.scivie
Check out:
http://www.sciviews.org/_rgui/projects/Editors.html
On Mon, Sep 1, 2008 at 8:52 PM, Yuan Jian <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I am looking for R editor. does anyone know good editor? which tells you
> syntax error and it has function to beautify format (insert TAB etc.).
>
> Yu
>
>
This is a lot like music- a good musician knows better when not to play than
when to (guitar teacher I had 15+ years ago).
stephen
On Mon, Jun 23, 2008 at 8:33 AM, jim holtman <[EMAIL PROTECTED]> wrote:
> To quote Jon Bentley (Programming Pearls):
>
> "The fastest, cheapest, most reliable piece
To quote Jon Bentley (Programming Pearls):
"The fastest, cheapest, most reliable piece of code is that which
isn't there; design as much out of your code as you design in."
On Mon, Jun 23, 2008 at 3:57 AM, Philipp Pagel <[EMAIL PROTECTED]> wrote:
> On Fri, Jun 20, 2008 at 10:04:46AM -0500, hadley
On Fri, Jun 20, 2008 at 10:04:46AM -0500, hadley wickham wrote:
> 2008/6/20 [EMAIL PROTECTED] <[EMAIL PROTECTED]>:
> > On 20 июн, 11:06, Wacek Kusnierczyk
> > <[EMAIL PROTECTED]> wrote:
> >> the result may be that the more beautiful the code, the more the
> >> performance
> >> sucks.
> >
> > Sad b
hadley wickham wrote:
2008/6/20 [EMAIL PROTECTED] <[EMAIL PROTECTED]>:
If you do nothing to your code, in 18 months time its performance will
have doubled because computers will have become faster. Your code
will not get easier to understand by itself.
Very nicely put .. and true too!
__
2008/6/20 hadley wickham <[EMAIL PROTECTED]>:
> 2008/6/20 [EMAIL PROTECTED] <[EMAIL PROTECTED]>:
>> On 20 июн, 11:06, Wacek Kusnierczyk
>> <[EMAIL PROTECTED]> wrote:
>>> the result may be that the more beautiful the code, the more the performance
>>> sucks.
>>
>> Sad but true.
>
> If you do nothing
on 06/20/2008 10:04 AM hadley wickham wrote:
If you do nothing to your code, in 18 months time its performance will
have doubled because computers will have become faster. Your code
will not get easier to understand by itself.
I suspect a good "fortunes" candidate...
:-)
Marc
_
2008/6/20 [EMAIL PROTECTED] <[EMAIL PROTECTED]>:
> On 20 июн, 11:06, Wacek Kusnierczyk
> <[EMAIL PROTECTED]> wrote:
>> the result may be that the more beautiful the code, the more the performance
>> sucks.
>
> Sad but true.
If you do nothing to your code, in 18 months time its performance will
hav
On 20 июн, 11:06, Wacek Kusnierczyk
<[EMAIL PROTECTED]> wrote:
> the result may be that the more beautiful the code, the more the performance
> sucks.
Sad but true.
Andrey
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-hel
From: Wacek Kusnierczyk [mailto:[EMAIL PROTECTED]
Sent: Fri 20/06/2008 5:06 PM
To: R help
Cc: Simon Blomberg
Subject: Re: [R] Programming Concepts and Philosophy
Simon Blomberg wrote:
> I try to use a functional programming style. I define functions within
> functions when it is helpful
Maybe I missed it, but I haven't seen in this tread mention of
Venables and Ripley (2000) S Programming (Springer). I found it
interesting and useful, though I have not used it as much as MASS --
partly because it is more specialized and it's coverage is not as broad.
Spencer
hadl
> However, on a more fundamental "programming philosophy" note, the fact
> that R does not allow multiple references to one object is a limitation.
> One of the fundamental principles of good programming is that there
> should be a one-to-one correspondence between instances in the program
> and ob
On Fri, Jun 20, 2008 at 09:06:24AM +0200, Wacek Kusnierczyk wrote:
> Simon Blomberg wrote:
> > I try to use a functional programming style. I define functions within
> > functions when it is helpful in terms of information hiding. I avoid
> > writing functions with side-effects as much as possible,
Simon Blomberg wrote:
> I try to use a functional programming style. I define functions within
> functions when it is helpful in terms of information hiding. I avoid
> writing functions with side-effects as much as possible, so the only
> communication of the called function with the caller functio
I try to use a functional programming style. I define functions within
functions when it is helpful in terms of information hiding. I avoid
writing functions with side-effects as much as possible, so the only
communication of the called function with the caller function is through
the arguments and
I am not sure I understand your question. I get the following output
from your code and it does not look like act.surv.time is repeated:
> m
treat strata time censorTime act.surv.time censoring
[1,] 1 1 0.8331923 0.654723930.65472393 1
[2,] 1 1 0.33
On Monday 17 September 2007, you wrote:
> R 2.6.0 has Reduce;
>
> myvec <- c(2, 8, 24, 26, 51, 57, 58, 78, 219)
> Reduce(function(myvec, p) setdiff(myvec, findSubsets2(p)), myvec, myvec)
Thanks Gabor, at first I jumped off my chair but... for many input variables
it takes to reduce the vector. M
R 2.6.0 has Reduce;
myvec <- c(2, 8, 24, 26, 51, 57, 58, 78, 219)
Reduce(function(myvec, p) setdiff(myvec, findSubsets2(p)), myvec, myvec)
On 9/16/07, Adrian Dusa <[EMAIL PROTECTED]> wrote:
>
> Dear list,
>
> I have a vector of numbers, let's say:
>
> myvec <- c(2, 8, 24, 26, 51, 57, 58, 78, 219
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