Funnily, the bivpois package is no longer available too...
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Yes, it works, but I wonder if I can make the y title horizontal just setting
any "hidden" parameter...
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Thanks, I'm setting now the mai parameter, but it is not so intuitive how it
works with persp...
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Hi everybody,
I'm working with wireframe (and persp) functions, and I'm not able to set
the margins between the 3d plot and the R window... It should be easy,
innit?, but I can't find out which parameters I have to change...
Any help?
Thanks,
ktk
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Thanks, I'm going to update it!
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lol, I'm having problems with texi2dvi as well...
The Rdlatex file says:
Hmm ... looks like a package
Error in texi2dvi("Rd2.tex", pdf = (out_ext == "pdf"), quiet = FALSE, :
pdflatex is not available
Error in running tools::texi2dvi
You may want to clean up by 'rm -rf
C:/DOCUME~1/AB/IMPOST~1/
bbolker wrote:
>
> krusty the klown libero.it> writes:
>
>> I found this useful package for generalized beta, yet the function that
>> calculates its density leaves me puzzled, especially when I plotted it:
>>
>> plot(function(y) dbetagen(y,4,1.2,min=0,m
Hi all,
I found this useful package for generalized beta, yet the function that
calculates its density leaves me puzzled, especially when I plotted it:
plot(function(y) dbetagen(y,4,1.2,min=0,max=40),xlim=c(0,40))
The area between the density curve and the x axis does not seem to measure
1!!!
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Perhaps there's a problem with the function rbs, that generates a random
sample from the Birnbaum-Saunders distribution.
The rgbs function (package gbs) does it better.
Look at these code and results:
> library(bs)
> set.seed(1)
> alpha<-0.17
> beta<-130
> x<-rbs(n=1000,alpha,beta)
> # sample mea
Perhaps the problem stands on the rbs function which generates random samples
from the Birnbaum-Saunders distribution:
> library(bs)
> set.seed(1)
> x<-rbs(n=1000,alpha=0.5,beta=1.0)
> # sample mean
> mean(x)
[1] 1.117749
> # expected value
> beta*(1+alpha^2/2)
[1] 2.125
> # so different!
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Vie
Hi, the package bs, version 1.0, is available.
Yet, I've gote some problems with it, specifically with the maximum
likelihood estimation of the parameters \alpha and \beta of
Birnbaum-Saunders distribution.
Let the following code run:
library(bs)
alpha<-1.5
beta<-0.5
n<-100
set.seed(1)
x<-rbs(n,al
Just run this code:
library(homals)
data(sleeping)
sleeping
res <- homals(sleeping[,2:4], level = c(rep("numerical",2),"nominal"),
ndim=1)
plot(sleeping[,2],res$scoremat[,,1][,1],axes=F)
axis(1,sleeping[,2])
abline(h=res$scoremat[,,1][,1])
box()
It looks strange, innit? There is something which
Sorry, probbaly it is...:blush:
Krusty the Klown wrote:
>
> Anyway, the results do not provide confidence intervals, but mle estimates
> and the hessian matrix, whose extradiagonal elements are null... is it
> correct?
> http://www.weibull.com/LifeDataWeb/confidence_bounds
/www.weibull.com/LifeDataWeb/confidence_bounds_log.htm
http://www.weibull.com/LifeDataWeb/confidence_bounds_log.htm
I will investigate...
David Scott-6 wrote:
>
> Krusty the Klown wrote:
>> Dear all,
>> a statistical question: how can I compute exact confidence intervals fo
Dear all,
a statistical question: how can I compute exact confidence intervals for the
lognormal distribution parameters? I found something only on
www.weibull.com www.weibull.com . Does exist a package in R which can
compute them?
Thanks in advance,
KTK
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Hey hey kids! I'm facing this rough problem: I have to modify a function in a
R package (namely, homals) but I'm not able to do it from the R interface,
since this function recalls other functions which looks like invisible... I
downloaded the source package from CRAN,
http://cran.r-project.org/sr
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