Hi Amos,
This approach gives a column of NA.
On Wed, Oct 8, 2014 at 10:20 PM, Amos B. Elberg
wrote:
> You can adapt: format(as.Date(paste(Year, sep = "-", ifelse(Year %% 4 ==
> 0, Start, ifelse(Start > 59, Start - 1, Start))), "%Y-%j"), "%b %d”)
>
> But 60% of the dates in your data.frame wil
Hi
Hm. You get row and column number by which. So if you want names why not just
use rownames or colnames.
Something like
rownames(data)[sel[,1]]
colnames(data)[sel[,2]]
shal give you appropriate row and column names.
Regards
Petr
From: Patzelt, Edward [mailto:patz...@g.harvard.edu]
Sent: Mon
The code changes a single row; that's why I said you'd have to adapt it to your
application.
> On Oct 9, 2014, at 3:10 AM, Frederic Ntirenganya wrote:
>
> Hi Amos,
>
> This approach gives a column of NA.
>
>> On Wed, Oct 8, 2014 at 10:20 PM, Amos B. Elberg
>> wrote:
>> You can adapt: f
Hey everybody,
I am looking for a R implementation of uni- and multivariate GMM clustering
which is both fast and can provide me with estimates of the respective
components' means and covariance matrices, not just the observations'
labels for the components which I am not interested in. As it is me
On Wed, 8 Oct 2014 04:49:02 PM Frederic Ntirenganya wrote:
> The idea is that I want the non-leap years to be 366 days instead of
being
> 365 days. ie. Each year must have 366 days.
>
> for example: in the column Start2, Apr 18 will be Apr 17.
>
> > head(Samaru)
>
> Year Start End Length Star
On 09/10/2014, 2:14 AM, Tim Hesterberg wrote:
> How can I create an improved version of a method in R, and have it be used?
>
> Short version:
> I think plot.histogram has a bug, and I'd like to try a version with a fix.
> But when I call hist(), my fixed version doesn't get used.
To be clear, we
Hi Lemon,
I am using the code you sent. It's correct for the leap years.
What I want to do is to have both leap and no-leap years to have 366 days.
that means the 1st March is day 61 of each year.
This will help me to link it with Instat for climatic data analysis.
On Thu, Oct 9, 2014 at 11:54 A
On Thu, 9 Oct 2014 12:30:57 PM Frederic Ntirenganya wrote:
> Hi Lemon,
>
> I am using the code you sent. It's correct for the leap years.
> What I want to do is to have both leap and no-leap years to have 366
days.
> that means the 1st March is day 61 of each year.
> This will help me to link it
Hello,
i would like to call a self defined R function after a package (not a specific
one - library (anyAvailablePackage)) has been loaded into the R environment.
I there a general method available in R which can be used for that?
Any help is appreciated.
_
This idea substract 1 for the all column which is not what i want.
We know that the leap years have 366 days. I don't need to change anything
on them
the non-leap years have 365 days. This is what i want to change to be 366
days rather than 365 days.
On Thu, Oct 9, 2014 at 1:07 PM, Jim Lemon wr
On 09/10/2014, 6:53 AM, marcel Austenfeld wrote:
> Hello,
>
> i would like to call a self defined R function after a package (not a
> specific one - library (anyAvailablePackage)) has been loaded into the R
> environment.
> I there a general method available in R which can be used for that?
No,
I don't think the is an appropriate option for that.
On Thu, Oct 9, 2014 at 2:32 PM, Duncan Murdoch
wrote:
> On 09/10/2014, 6:53 AM, marcel Austenfeld wrote:
> > Hello,
> >
> > i would like to call a self defined R function after a package (not a
> specific one - library (anyAvailablePackage)) h
This is usually ill-advised, but I think it's the right solution for
your problem:
assignInNamespace("plot.histogram", function(...) plot(1:10), "graphics")
hist(1:10)
Haley
On Thu, Oct 9, 2014 at 1:14 AM, Tim Hesterberg wrote:
> How can I create an improved version of a method in R, and have i
Thank you for the fast reply!
Best regards
Marcel
Gesendet: Donnerstag, 09. Oktober 2014 um 13:54 Uhr
Von: "Frederic Ntirenganya"
An: "Duncan Murdoch"
Cc: "marcel Austenfeld" , r-help@r-project.org
Betreff: Re: [R] Event after a package is loaded
I don't think the is an appropriate option f
Hi
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Frederic Ntirenganya
> Sent: Thursday, October 09, 2014 1:32 PM
> To: Jim Lemon
> Cc: r-help@r-project.org
> Subject: Re: [R] Changing date format
>
> This idea substract 1 fo
Hi Pikal,
I am not talking about changing calender, I need this in my analysis.
On Thu, Oct 9, 2014 at 3:27 PM, PIKAL Petr wrote:
> Hi
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Frederic Ntirenganya
> > Sent: T
On 09/10/2014, 8:27 AM, PIKAL Petr wrote:
> Hi
>
>> -Original Message-
>> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
>> project.org] On Behalf Of Frederic Ntirenganya
>> Sent: Thursday, October 09, 2014 1:32 PM
>> To: Jim Lemon
>> Cc: r-help@r-project.org
>> Subject: Re:
Dear Pari
On 7 October 2014 10:55, pari hesabi wrote:
> HelloI am trying to estimate the parameter of a function by the Maximum
> Likelihood Estimation method.If the function is the difference between two
> integrals: C<-function(n){integrand3<-function(x) {((2-x)^n)*(exp(ax-2))}cc<-
> integr
Hello,
I was using my integrate today and spend a couple of hours trying to figure
out why I was getting some weird results in my code when using myintegrate
function to do complex integration, after some time decided just to change
the name of the integration dummy variable in the code from 'x' t
Two solutions proposed -- not entirely orthogonal, but both do the
trick. Instead of nesting cbin in a loop (as I did originally -- OP,
below),
1\ do.call(cbind, lapply(mat_list, as.vector))
or
2\ sapply(mat_list,function(x) as.vector(x))
Both work fine. Thanks to Jeff Laake (2) + David
Thanks to all for your help. The colClasses option did do the trick.
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PLEASE do read the posting guide http://www.R-project.o
Hi there,
i have three dataframes, which have the same structure (data.frame, 358
observations of 340 variables, every column is "num"eric), and are
basically submatrices of a parental dataset.
I can perform a CCA on all of them (with the explanatory dataset being
"abio")
/cca1_ab <- cca(df1~
Hi there,
Please can you remove me from the mailing list, I keep getting the
conversations which are of no use to me.
BestKazmi
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I posted similar question a while ago. Search for "modify function in a
package".
In your case, the following should work.
source('plot.histogram.R')
assignInNamespace('plot.histogram',plot.histogram,ns='graphics')
environment(plot.histogram) <- asNamespace('graphics');
Assuming you have your ow
There are lots! eg: Mclust or EMCluster and many more.
Ranjan
On Thu, 9 Oct 2014 10:37:45 +0200 Alexandra Posekany
wrote:
> Hey everybody,
> I am looking for a R implementation of uni- and multivariate GMM clustering
> which is both fast and can provide me with estimates of the respective
> co
Hello,
A quick question relating to the documentation of the jitter function:
http://127.0.0.1:15714/library/base/html/jitter.html
jitter(x, factor = 1, amount = NULL)
"If amount is NULL (default), we set a <- factor * d/5 where d is the smallest
difference between adjacent unique (apart from f
Hello,
You can see the code for jitter by typing its name at the prompt.
Inline.
Em 09-10-2014 18:19, Ingrid Charvet escreveu:
Hello,
A quick question relating to the documentation of the jitter function:
http://127.0.0.1:15714/library/base/html/jitter.html
jitter(x, factor = 1, amount = NULL
On Oct 9, 2014, at 10:19 AM, Ingrid Charvet wrote:
> Hello,
>
> A quick question relating to the documentation of the jitter function:
> http://127.0.0.1:15714/library/base/html/jitter.html
>
> jitter(x, factor = 1, amount = NULL)
>
> "If amount is NULL (default), we set a <- factor * d/5 wher
Actually Jeff Laake's can be made even shorter with
sapply(mat_list, as.vector)
David C
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Evan Cooch
Sent: Thursday, October 9, 2014 7:37 AM
To: Evan Cooch; r-help@r-project.org
Subjec
How about foreach() run in parallel?
On Oct 9, 2014 1:54 PM, "David L Carlson" wrote:
> Actually Jeff Laake's can be made even shorter with
>
> sapply(mat_list, as.vector)
>
> David C
>
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Be
Thanks!
On 10/9/2014 1:52 PM, David L Carlson wrote:
Actually Jeff Laake's can be made even shorter with
sapply(mat_list, as.vector)
David C
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Evan Cooch
Sent: Thursday, October 9,
Hello,
I have a 32 GB Surface Windows RT and I am trying to download R, but it's
not letting me. Is there a certain way I am suppose to download it? Thank
you for any help you may provide.
Ivania Andrade
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__
I have tried to generate multivariate normal samples with the following
means and co-variances
> mu
[1] 1.4696642 6.3169666 -3.8702044 0.8411024 -2.6525455 6.1894152
> Sigma
[,1] [,2] [,3] [,4]
[,5][,6]
[1,] 0.00015768570 0.002258112 -0.00
That is a baffling description. I don't see how what "something" does to
prevent you from transferring a file is related to R.
That said, installing could be a problem ... or not.
---
Jeff NewmillerTh
On 09/10/2014, 12:38 PM, Ivania Andrade wrote:
> Hello,
>
> I have a 32 GB Surface Windows RT and I am trying to download R, but it's
> not letting me. Is there a certain way I am suppose to download it? Thank
> you for any help you may provide.
There's nothing really special about downloading R,
On 09 Oct 2014, at 18:43 , John Hodgson wrote:
> I have tried to generate multivariate normal samples with the following means
> and co-variances
>
> > mu
> [1] 1.4696642 6.3169666 -3.8702044 0.8411024 -2.6525455 6.1894152
> > Sigma
> [,1] [,2] [,3] [,4]
On Oct 9, 2014, at 1:24 PM, Duncan Murdoch wrote:
> On 09/10/2014, 12:38 PM, Ivania Andrade wrote:
>> Hello,
>>
>> I have a 32 GB Surface Windows RT and I am trying to download R, but it's
>> not letting me. Is there a certain way I am suppose to download it? Thank
>> you for any help you may pr
(1) The example is not reproducible since we don't have "psi" or know
what it is.
(2) The package is called "elliptic" *NOT* "Elliptic". The R language
(unlike Micro$oft crap) is case sensitive.
(3) The code was given in a chaotic manner, making it impossible to copy
and paste it into an
Hello,
Does anyone know which comparison test is applied in the function
order.group of the package agricolae?
The test is not documented nor in kruskal function or order.group
(called by kruskal function).
Thanks in advance,
///\\\///\\\///\\\///\\\///\\\///\\\///\\\///\\\
Jose Claudio Faria
Es
Thank you Duncan, Brian, Hadley, and Lin.
In Lin's suggestion, I believe the latter two statements should be
reversed, so that the environment is added before the function is placed
into the graphics namespace.
source('plot.histogram.R')
environment(plot.histogram) <- asNamespace('graphics')
assi
Dear expeRts,
i use sapply for loop, and i want to break it when i needed, how to do
that? e.g.
sapply( 1:10, function(i) {
if(i==5) break and jump out of the function sapply
} )
I want to do it because i have to loop 100 times, but i don't know when it
will break, that means, it may
Don't use apply functions if you want to do what you describe. They don't work
that way. Use a while control structure.
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#.
Hello,As an example for Exponential distribution the MLE is got by this
structure:t <- rexp(100, 2)loglik <- function(theta){ log(theta) - theta*t}a <-
maxLik(loglik, start=1)print(a)Exponential distribution has a simple
loglikelihood function. But if a new pdf has a more complicated form
like
Is that mean while may be more effient than for in R? as i know, while and for
are all just functions in R.
Tks for your suggestion to not use apply that way, but i want to know, if
possible, is there any way to break it ?
Actually, there is a additional question:
x<- c(3,4,5,6,9)
sapply(
Dear All,
The following function gives me what I wanted.
The input of function is one value and this push me to use sapply function
to call it.
Is there a better way of doing this?
#
day <- function(x){
if(x== 60) {
y =
Is it possible to break it? I already told you that... NO. Also your mention of
efficiency is not relevant. Keep in mind that apply functions are not
significantly faster than for loops or while loops. They are just compact ways
to express your intent. Usually people having speed problems with f
Hi,
On 10/09/2014 11:12 PM, PO SU wrote:
Is that mean while may be more effient than for in R? as i know, while and for
are all just functions in R.
Tks for your suggestion to not use apply that way, but i want to know, if
possible, is there any way to break it ?
As Jeff said, you cannot
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