similar to: qpois Help problems (PR#14200)

Full_Name: Jerry W. Lewis Version: 2.7.0 (2008-03-23 r44847) OS: Windows XP Professional Submission from: (NULL) (71.184.230.48) choose(n,k) = choose(n,n-k) is not satisfied if either 1. n is a negative integer with k a positive integer (due to automatically returning 0 for n-k<0) 2. n is not an integer with k a positive integer (due to rounding n-k to an integer, compounded by

Full_Name: Jerry W. Lewis Version: 2.6.1 OS: Windows XP Professional Submission from: (NULL) (24.147.191.250) pchisq(0,0,ncp=lambda) returns 0 instead of exp(-lambda/2) pchisq(x,0,ncp=lambda) returns NaN instead of exp(-lambda/2)*(1 + SUM_{r=0}^infty ((lambda/2)^r / r!) pchisq(x, df + 2r)) qchisq(.7,0,ncp=1) returns 1.712252 instead of 0.701297103 qchisq(exp(-1/2),0,ncp=1) returns 1.238938

Full_Name: Manikandan Narayanan Version: 2.8.1 OS: Linux Submission from: (NULL) (155.91.45.231) Here is an excerpt from qpois help page (?qpois): The quantile is left continuous: 'qgeom(q, prob)' is the largest integer x such that P(X <= x) < q. I think the "qgeom" here should be "qpois" instead. Please correct this typo in ?qpois, since it's

Full_Name: Jerry W. Lewis Version: 2.7.0 OS: Windows XP Professional Submission from: (NULL) (198.180.131.16) If you are saying that there is no need to solve for the noncentrality parameter, please justify this amazing assertion. If you are saying that this need is already adequately addressed in R, then please enlighten me.

Full_Name: Mikael Weigelt Version: 2.0 OS: windows Submission from: (NULL) (207.171.180.101) The calculation of the qpois attempts to use the Cornish-Fisher expansion as a starting approximation. The definition of the expansion is incorrect. However, since this approximation just gives an initial solution, the end result of the function is still correct. To fix the approximation, in the

version .62: --------------------------------------------- > ?qpois The Poisson Distribution dpois(x, lambda) ppois(q, lambda) qpois(p, lambda) rpois(n, lambda) Arguments: x: vector of (positive) quantiles. p: vector of probabilities. n: number of random values to return. lambda: vector of positive means.

Clarify general description of the mac, status and max_virtqueue_pairs fields. Specifically, the old description is vague about configuration layout and fields offsets when some of the fields are non valid. Also clarify that validity of two status bits depends on two different feature flags. Signed-off-by: Victor Kaplansky <victork at redhat.com> --- content.tex | 42

I have a package with in the documentation: in \usage : \dots in \arguments: \ldots This is how I interpreted "Use \dots for the dots in function argument lists ..., and \ldots for ellipsis dots in ordinary text" in "Writing R Extensions". When I did `R CMD check' in R version 1.3.1 all was fine. With R version 1.4.0 I get : * checking for undocumented arguments

Hi folks! I run the following code to get a CI for a Poisson with lambda=12.73 library(MASS) set.seed(125) x <- rpois(100,12.73) lambda_hat<-fitdistr(x, dpois, list(lambda=12))$estimate #Confidence Intervals - Normal Approx. alpha<-c(.05,.025,.01) for(n in 1:length(alpha)) { LowerCI<-mean(x)-(qnorm(1-alpha[n]/2, mean = 0, sd = 1)*sqrt(var(x)/length(x)))

Full_Name: Jerry W. Lewis Version: 2.6.2 OS: Windows XP Professional Submission from: (NULL) (198.180.131.16) choose() returns incorrect values for all fractional arguments, regardless of sign. It returns 0 when both arguments are negative integers, which is not always correct (as in some formulations of the negative hypergeometric). Examples (correct answers from Maple's binomial

On Mon, Aug 17, 2015 at 10:43:46AM +0800, Jason Wang wrote: > > > On 08/16/2015 09:42 PM, Victor Kaplansky wrote: > > Clarify general description of the mac, status and > > max_virtqueue_pairs fields. Specifically, the old description is > > vague about configuration layout and fields offsets when some of > > the fields are non valid. > > > > Also

On Mon, Aug 17, 2015 at 10:43:46AM +0800, Jason Wang wrote: > > > On 08/16/2015 09:42 PM, Victor Kaplansky wrote: > > Clarify general description of the mac, status and > > max_virtqueue_pairs fields. Specifically, the old description is > > vague about configuration layout and fields offsets when some of > > the fields are non valid. > > > > Also

Hi, I wanted to know if there existed an good implementation in R of the following classical subset Integers : $P_{n,m} = {k_1, \ldots, k_m \in \mathbb{N} : k_1 + \ldots + k_m = n }$ for any integers $m < n$. There is an obvious not optimal code which would be to run through $m$ sums and put a boolean condition to report if the integers respect these condition but it would take $m^n$

Folks, I'm fairly sure that I'm doing something stupid, but I'm getting a few really strange results from *some* of the distributions, but by no means all, when I link directly to the R shared library. I've tried this on both Windows with the precompiled Mingw binary of R-2.5.0 (compiling my code with MinGW-3.4.2), and by building R-2.5.0 on Mandriva Linux with gcc-3.4.4 and

Hola! I have the following in a .Rd file: \eqn{\mbox{coef} = c(\mbox{coef}[1],\ldots, \mbox{coef}[n]) } {coef = c(coef[1], coef[2], \dots, coef[n])} However, both arguments come out in the latex file! Whats happening? Kjetil Halvorsen

> How can I draw a Hypercube sample for the variable mortality_probability so > that this variable exhibits the same pattern as the observed distribution? One simple way is to use the uniform random output of randomLHS as input to the quantile function for your desired distribution(s). For example: q <- randomLHS(1000, 3) colnames(q) <- c("A", "B",

While I agree that the reported results from Mathematica have only 10-13 correct digits, that does not mean that pt() in R is any better for these calculations. For instance the following three calculations are mathematically equivalent, but pt() disagrees at the 13th figure in R v2.6.2 pt(1e-4,13) pf(1e-8,1,13)/2+0.5 pbeta(1/(1+13/1e-8),.5,6.5)/2+0.5 Using 1/(1+n/x^2) and reversing the

ComRades: I am geeting the error message Error in ldots[[which(MET)]] : attempt to select less than one element when I try to fit the geostatistical model with the likfit() function of geoR. I have tried with old data for which likfit() successfully maximised the likelihood in previous versions of geoR, and yet the current version fails. I have tried in Windows Vista and Windows XP (I haven't

Hola. Intento crear un archivo .html a partir de un .Rmd que tenga Toc, LaTeX y tablas. Empleo RStudio (v. 0.97.551), pero aparece un error en la función "markdownToHTML" Pasos: 1) creo un fichero Rmd (adjunto ejemplo) => con knitr (v. 1.0.5) crea un fichero ".md" 2) Si quiero añadirle el TOC (table of contents) necesito emplear la función "markdownToHTML" del

Thanks for your answer. However, my variable is simulated from the cumulative distribution function of the Poisson distribution. So, the pattern obtained from the function "qpois" is not the same as the observed pattern (i.e., obtained from the function "ppois") set.seed(5) mortality_probability <- round(ppois(seq(0, 7, by = 1), lambda = 0.9), 2)