similar to: Documentation for sd (stats) + suggestion

Good day, It is implemented by the CRAN package multicon. The function is named popsd. But it does seem like something R should provide without creating a package dependency. -------------------------------------- Dario Strbenac University of Sydney Camperdown NSW 2050 Australia

Dear all Currently, I'm implementing the generalized hyperbolic distribution into Splus. Unfortunately the Bessel function is not implemented in Splus. In R the Bessel function does exist but it is an internal function and I'm not able to look at the code. Is there any possibility to see the code of the Bessel function in R or does anybody has an implementation of the Bessel function in

In order to fit a probability distribution proposed by Sichel [Journal of the Royal Statistical Society. Series A (General), Vol. 137, No. 1. (1974), pp. 25-34], I need a modified Bessel function of the 2nd kind. I notice that the base package of "R" only has modified Bessel functions of the 1st and 3rd kind. Does a modified Bessel function of the 2nd kind exist anywhere? Many

Dear list, Could someone enlighten me a bit on the exact format used for text help pages as I see them on Windows in the help/ folders of (compiled) package roots. When opening an example of these files in a text editor (?Bessel in GNU emacs), the file is displayed as follows: _^HB_^He_^Hs_^Hs_^He_^Hl_^H _^HF_^Hu_^Hn_^Hc_^Ht_^Hi_^Ho_^Hn_^Hs Bessel package:base

I have a small handheld pc having ARM process as a CPU. I installed debian and installed R using apt-get command. Everything worked great except for drawing even simple graphs x <- 1:10 plot(x) I got error messages 1: Nonfinite axis limits [GScale(nan,nan,1, .); log=0] 2: relative range of values = 9.0072e+15 * EPS, is small (axis 1). 3: Nonfinite axis limits

> 3x3 subset used > Locus1 Locus2 Locus3 > Samp1 GG <NA> GG > Samp2 AG CA GA > Samp3 AG CA GG > > The euclidean distance function is defined as: sqrt(sum((x_i - y_i)^2)) My > assumption was that the difference between

Previously I had managed to get R-0.99.0 to compile and pass the tests on a Debian Linux/Alpha 2.2 system by recompiling src/main/optim.c by hand omitting the -O2 flag. I just tried R-1.0.0 on a similarly configured machine, although not the same machine as before, and it compiled ok but failed the tests. This time it fails on bessel> x <- seq(0, 4, len = 501) bessel> plot(x, x, ylim

I am not yet a R user but I will be soon. I am looking for the R command and syntax to compute the roots of Bessel function i.e. computing the z values that lead to Jnu(z)=0 where J is a Bessel function or order nu. May You help me ? thanks in advance. Dr Catherine COUTAND Institut National de la Recherche Agronomique (INRA) umr Physiologie Int?grative de l'Arbre Fruitier et Forestier

I am looking for a method of dealing with the modified Bessel function K_\nu(x) for large \nu. The besselK function implementation of this allows for dealing with large values of x by allowing for exponential scaling, but there is no facility for dealing with large \nu. What would work for me would be an lbesselK function in the manner of lgamma which returned the log of K_\nu(x) for large

I'm looking for a histogram variant in which data points are plotted as labelled rectangles 'piled up' to form a histogram. I've posted an example at https://www.dropbox.com/s/ozi8bhdn5kqaufm/labelled_histogram.png?dl=0 It seems to have a long pedigree, as I see it (as in this example) in documents going back beyond the '80s. But I've not seen it in recent textbooks. So it

> On 10 Jan 2013, at 15:56 , S Ellison <S.Ellison at lgcgroup.com> wrote: > > > >> I am working with large numbers and identified that R looses >> precision for such high numbers. > Yes. R uses standard 32-bit double precision. Well, for large values of 32... such as 64. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School

The besselK() function knows about overflows/underflows internally; there is a constant xmax_BESS_K in src/nmath/bessel.h (and referred to only in bessel_k.c), equal to 705.342, which is checked if expon.scaled is FALSE. (The equivalent number for bessel_i.c is 709, defined as exparg_BESS in bessel.h.) However, besselK(x) silently returns +Inf if x>705.342. This behavior is reasonable for

Hello, I am searching for code in C++ or fortran for Modified Bessel function of third kind (fractional or real order). Can someone help me? Thank you --------------------------------- Découvrez un nouveau moyen de poser toutes vos questions quelque soit le sujet ! Yahoo! Questions/Réponses pour partager vos connaissances, vos opinions et vos expériences. Cliquez ici.

Hi R-users, Can Maple function be exported to R? I have a jacobian matrix (4X4)?from maple in algebraic form which involve modified Bessel function of the first kind. I just wonder whether we can use algebraic form into R before the value of the parameters can be estimated. Thank you so much for your attention and help.

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> The former co-author contributed, so he is still author and probably copyright > holder and has to be listed among the authors, otherwise it would be a CRAN > policy violation ... It's a bit of a philosophical question right now, but at some point in a developing package's life - particularly one that starts small but is subsequently refactored in growth - there may be no code

Dear R-Group: Recently, I ran into a problem. I was using a function called "I.1", which evaluates the first-order modified Bessel function of the first kind, in the package "CircStats". This function is not vectorized, since it uses a couple of "if" conditions. However, when I called this function with a vector argument, I got no error/warning messages in

Dear all, I'm writing a code that requires Bessel functions with complex argument. Searching the list, I found the continuation of a thread I initiated a few months ago: http://tolstoy.newcastle.edu.au/R/e4/devel/08/03/0746.html As I understand, the most promising option would be to use the fortran or C implementation of Amos,

Hello, I am working with a matrix of multilocus genotypes for ~180 individual snail samples, with substantial missing data. I am trying to calculate the pairwise genetic distance between individuals using the stats package 'dist' function, using euclidean distance. I took a subset of this dataset (3 samples x 3 loci) to test how euclidean distance is calculated: 3x3 subset used

Precedence is a property of the parser and has nothing to do with the semantics assigned to various symbols. Using just core R functions you can see the precedence of '?' is between those of '=' and '<-'. > # '=' has lower precedence than '?' > str(as.list(parse(text="a ? b = c")[[1]])) List of 3 $ : symbol = $ : language `?`(a, b) $