Perhaps you are in the first circle of the R Inferno?
Ken Hutchison
On May 13, 2012, at 9:31 AM, Berend Hasselman wrote:
>
> On 13-05-2012, at 15:08, Jonsson wrote:
>
>> Dear All,
>>
>> I am trying to replace a value of 528.8933 to - in my file
>&
Did not fully read the without installing it part.
Mea Culpa,
Ken
On Jan 15, 2012, at 8:56 PM, Jeff Newmiller wrote:
> I don't believe you can. However, you need not install it into a system-wide
> library directory... your personal library (e.g.
> /home/jonas/R/x86_64-pc-linux-gnu-li
Begin forwarded message:
> From: Ken Hutchison
> Date: January 15, 2012 8:54:49 PM EST
> To: Ben Bolker
> Subject: Re: [R] Trouble installing packages on R2.14.1
>
> Check browser proxy settings and run R.exe with the proper flags to use them
> from cmd.
> Ho
install.packages('pathtotargz',
repos=FALSE)
I believe that will get you going.
Hope that's helpful,
Ken
On Jan 15, 2012, at 8:33 PM, Joshua Wiley wrote:
> Hi Jonas,
>
> Look at Hadley Wickham's devtools package. It is designed with this
> sort of thing. That said, it really is not too
apt-get wont run on Suse unless you have aptitude, also your distribution won't
compile a deb without some intervention. You won't be able to query the package
regardless of key if your local proxy settings won't let you because of admin.
Perhaps see if there is a tool to convert the deb package
I don't have experience with this in R and I'm not sure I understand the
question that well but maybe something like nearPD()?
Ken Hutchison
On Jan 2, 2012, at 6:36 AM, riccardo24 wrote:
> Hi, I need to maximize a quadratic function under constraints in R.
> For minimization
you, I'd advise looking for
food; else be prepared to name your phone Wilson.
Ken Hutchison
On Jan 1, 2012, at 11:28 AM, David Winsemius wrote:
>
> On Jan 1, 2012, at 11:07 AM, David Winsemius wrote:
>
>>
>> On Jan 1, 2012, at 10:05 AM, Federico J. Villatoro w
the maxreps that are right for your machine.
Ken Hutchison
2011/12/20 Uwe Ligges
>
>
> On 20.12.2011 06:47, Vikram Bahure wrote:
>
>> Dear R users,
>>
>> I am getting following error while using boot.ci. I have int.inc function
>> with 2000
Dear R-List,
Is there any way to handle NA's within tree objects themselves in
terms of the predict.tree( )? I understand that if there is an NA at a
split in a certain variable, the prediction is classified at that node and
not dropped further down the tree. Are there any other and possibly
Which is better is a matter of opinion:
Try:
sudo apt-get install sun-java6-jre sun-java6-plugin sun-java6-fonts
if it doesnt work, update/add repos.
Also, miss google knows this;
lastly: not really a geRmaine topic for the R-list.
HTH
Ken Hutchison
On Wed, Nov 9, 2011 at 4:40 PM, ravi
gaRds,
Ken Hutchison
On Wed, Oct 19, 2011 at 7:22 PM, J Toll wrote:
> Hi,
>
> I'm slowly working through Tsay's "Analysis of Financial Time Series"
> 3rd ed. I'm trying to replicate Table 2.1 on p.47, which gives PACF,
> AIC, and BIC for the mont
data as
you saw it: than that's not so exciting after all.
Hope that was helpful,
Ken Hutchison
On Tue, Oct 18, 2011 at 2:35 PM, B77S wrote:
> This is just scientific notation, so
> 8.15e-01 is the same as:
> > 8.15*10^-1
> [1] 0.815
>
>
>
>
>
> niki wrote:
rtance for each variable when the others are
held out (inferential only)
Weak I know, but I hope it helps!
Ken Hutchison
On Fri, Oct 14, 2011 at 12:06 PM, Jason Roberts wrote:
> I would like to build a forest of regression trees to see how well some
> covariat
Hey,
If I understand correctly, library(gplots) plotmeans(). You might also
try TukeyHSD() to see if that gets you where you are trying to go.
Good luck!
Ken Hutchison
On Fri, Oct 14, 2011 at 12:11 PM, Jebb Remelius wrote:
> Greetings and gratitude,
>
> I have 19 person
will let you know) you should be able to make inference from that
using parametric methods (once) which will fit the truth a bit better than a
t.test.
Hope that's helpful,
Ken Hutchison
On Sat, Oct 8, 2011 at 10:04 AM, francy wrote:
> Hi,
>
> I am having troubl
Rstudio and Rcmdr are very popular and for good reason, find a good book
while the latter is installing though.
IF you are using linux, rkward is fantastic to woRk with.
Ken Hutchison
On Tue, Sep 20, 2011 at 11:21 AM, Steve Lianoglou <
mailinglist.honey...@gmail.com> wrote:
&g
ogLambda)
Point.Process.Counts=rpois(T,Lambda)
return(Point.Process.Counts)
}
I haven't actually tried this code (may contain clerical errors) but I hope
it gets you on the right track.
Good luck,
Ken Hutchison
2011/9/14 Torbjørn Ergon
> Dear list,
>
> I'm looking for a fun
-- Forwarded message --
From: Ken Hutchison
Date: Wed, Aug 24, 2011 at 6:27 PM
Subject: Re: [R] Importing data from MS EXCEL (.xls) to R
To: Dan Abner
save as csv.
?read.csv
Ken
On Wed, Aug 24, 2011 at 6:20 PM, Dan Abner wrote:
> Hello everyone,
>
> Wh
-- Forwarded message --
From: Ken Hutchison
Date: Wed, Aug 24, 2011 at 6:06 PM
Subject: Re: [R] help with "by" command
To: amalka
?tapply
or more specifically
?ave
Hope this helps,
Ken
On Wed, Aug 24, 2011 at 2:51 PM, amalka wrote:
> Hello,
>
> I
Dear R Users
Any idea if there exists any one dimensional Cox Process datasets in R?
'Spatstat' is very comprehensive but doesn't seem to have any examples of 1D
(time series) Doubly Stochastic Poisson Process data. (I am aware it can be
simulated)
Thank you,
Hey,
Also, if your function varies in time (less than 5 minutes) then you could
use
total.time.difference=system.time(some.function)[1)]
# (for user time) and you could plug this into your Sys.sleep() (which
accepts decimal seconds) if you can #accept an error on the order of
hundredths of second
Hi,
It's kind of weird for me to not see a return() statement in the
function. Maybe try rolling your own, nonparametric bootstraps aren't all
that bad.
i.e.
reps=1000
stat.holder=rep(NA,reps) ###Rep of NA's so you can pick up errors easily
for(count in 1:reps)
{
bootsample=sample(data, n.data
Hello all,
I am using the clustering functions in R in order to work with large
masses of binary time series data, however the clustering functions do not
seem able to fit this size of practical problem. Library 'hclust' is good
(though it may be sub par for this size of problem, thus doubly poo
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