similar to: power law distribution; making new distributions

Hello, I am building a package to read in a pretty common atmospheric data format and create a SKEW-T, log p diagram (also very common for the atmospheric community). The problem is this: How should one address the (ASCII) data files so that the examples find them? I have read through the "Writing R Extensions" document and still have a problem. There seems to be some sort of

http://bugzilla.mindrot.org/show_bug.cgi?id=665 Summary: sshd doesn't work on Mac OS X Product: Portable OpenSSH Version: 3.7p1 Platform: PPC OS/Version: Mac OS X Status: NEW Severity: normal Priority: P2 Component: sshd AssignedTo: openssh-bugs at mindrot.org ReportedBy: max at

Hello, I also try to fit a skewed distribution (like skewed student t) to data points. Do you have an idee howto do this??? thank you fabrice dusonchet *********************************************************************************** This email and any files transmitted with it are confidentia...{{dropped}}

Hello all, In the course of trying to implement the CDF of an InverseGammaDistribution, I have run across the need for an igamma() function. Several others have needed this function but the answers I have found so far are not totally clear to me. I'm writing for three reasons: 1) to present a small error in the docs 2) to clarify the approach we are expected to take 3) to request,for the

Hi, all, Does anybody got the most general expression of a unitary matrix? I found one in the book, four entries of the matrix are: (cos\theta) exp(j\alpha); -(sin\theta)exp(j(\alpha-\Omega)); (sin\theta)exp(j(\beta+\Omega)); (cos\theta) exp(j\beta); where "j" is for complex. However, since for any two unitary matrices, their product should also be a unitary matrix. When I

Do any of the R libraries have an implementation of the Inverse Error Function (Inverse ERF)? ref: http://mathworld.wolfram.com/InverseErf.html http://functions.wolfram.com/GammaBetaErf/InverseErf/ Thanks, Nathan [[alternative HTML version deleted]]

To R-helpers, R offers the polyroot function for solving mentioned equations iteratively. However, Dr Math and Mathworld (and other places) show in detail how to solve mentioned equations non-iteratively. Do implementations for R that are non-iterative and that solve mentioned equations exists? Regards, Mads Jeppe

I'm having trouble with the standard deviation distribution as shown on http://mathworld.wolfram.com/StandardDeviationDistribution.html . (Eric Weisstein references Kenney and Keeping 1951, which I can't check.) I believe the graphs they show, but when I code the function in R, according to the listed formula, I get very different graphs. Would someone please point out my error or tell

My company recently started using a R library from RCRAN that is licensed under the LGPL Version 2 or greater per the DESCRIPTION file, but contains no copy of the LGPL notice, or any copyright notice. I've grown accustomed to paying attention to copyright and licensing as a Debian package maintainer, and sent the author of the package an email expressing my concern. The author believed that

Hello, I have been following the thread dated Monday, October 9, 2006 when Kamila Naxerova asked a question about plotting elliptical shapes. Can you explain the equations for X and Y. I believe they used the parametric form of x and y (x=r cos(theta), y=r sin(theta). I don't know what r is here ? Can you explain 1)the origin of these equations and 2) what is r? Sincerely, Mary A. Marion

I'm using fisher.exact on a 4x2 table and it seems to work. Does anyone know exactly what is going on? I thought fisher.exact is only for 2x2 tables. Note: I can't use chi-squared because I have a couple of cells with 0 and < 5 observations. -- View this message in context: http://r.789695.n4.nabble.com/fisher-exact-for-2x2-table-tp3481979p3481979.html Sent from the R help

Dear subscribers, I'm trying to make the switch from M$ Windows to Linux (KDE) and found the R-cran project for statistical analysis. I'm not a genius in statistics so the command line interface is a bit hard for me. I need an analogue way to do the SPSS General Linear Model->Repeated Measures (multivariate) but I don't have a clue how to perform this in R-cran. Can maybe

Hi all. I may be wrong, (and often am), but in trying to determine how to calculate the erf function, the documentation for 'pnorm' states: ## if you want the so-called 'error function' erf <- function(x) 2 * pnorm(x * sqrt(2)) - 1 ## and the so-called 'complementary error function' erfc <- function(x) 2 * pnorm(x * sqrt(2), lower=FALSE) Should, instead, it read:

The attached code produces corrupted pdfs (test2.pdf, test4.pdf and test5.pdf). The resulting pdf depends on how many cores are available on the machine. I don't see why there should be any difference between the pdfs (exept for the timestamp). Doing many operations involving mclapply can increase the size of the resulting pdf by ten times! Thank you for checking this. require(multicore)

Hello, I tried to fit a poisson distribution but looking at the function fitdistr() it does not optimize lambda but simply estimates the mean of the data and returns it as lambda. I'm a bit confused because I was expecting an optimization of this parameter to gain a good fit... If I would use mle() of stats4 package or mle2() of bbmle package, I would have to write the function by myself

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

Hello, after some discussions with Martin Maechler and Josef Leydold (WU Wien), we have felt the need for some package that should allow for an object-orientated approach to distributions. Our small group at Bayreuth now has developed a package "distr" which tries to fill this gap, implementing distributions by means of S4--classes. A mother class "Distribution" is

If I use the Ineq library and the Gini function in this way: >Gini(c(100,0,0,0)) I obtain the result 0.75 instead of 1 (that is the perfect inequality). I think Gini's formula in Ineq is based on a formula as reported here: http://mathworld.wolfram.com/GiniCoefficient.html but in the case of perfect inequality: x_1=.......=x_n-1 =0 x_n>0 these formula are equal to 1 - 1/n, not to

Hello, I want to solve some two dimensional equation system with R. Some systems are not solvable analytically. Here is an example: (I) 1/n*sum{from_i=1_to_n}(Xi) = ln lambda + digamma(c) (II) mean(X) = x / lambda I want to find lambda and c, which R-function could do that task? Carsten [[alternative HTML version deleted]]

Can someone recommend a method to answer the following type of question: Suppose I have a coin with a probability hhh of coming up heads (and 1-hhh of coming up tails) I plan on flipping the coin nnn times (for example, nnn = 500) What is the expected probability or frequency of a run of rrr heads* during the nnn=500 coin flips? Moreover, I would probably (excuse the pun) want the answer for a