similar to: Density function for non-central t distribution

Greetings, I've tried to update the power.t.test function to allow for different sample sizes and sample variances in the case of a two-sample t test. I'd gladly update the corresponding help page if the code is to replace the current power.t.test function. The modified power.t.test code is included below. The changes are as follows: - Added three new arguments to the function *

Hi, I've made a selfStart function for use with gnls and the following piece of code works nicely: check1 <- gnls(y ~ spot.shape.fct(xcord, ycord, background, spotintensity, rho, sigma, delta, mux, muy), start=getInitial(y ~ spot.shape.fct(xcord, ycord, background, spotintensity, rho,

hi all how does one simulate a random walk process? i.e y(0)=0 y(t)=y(t-1)+ e(t) where e(t) is normal(0,1) say. Regards allan

Bug Description: Problem with the function pf() when the non-centrality parameter is large. Here is a sample command. You should see a smooth line from 0 to about 55, and then the values of pf() go crazy from 55 to 100. ############################ ncp <- seq(0,100,length=200) plot(ncp,pf(5,7,2,ncp=ncp)) ############################ Version: platform = i686-pc-linux-gnu arch = i686 os =

help(qt) states that: "ncp non-centrality parameter delta; currently except for rt(), only for abs(ncp) <= 37.62" so I would expect that calling qt with non-centrality parameter exceeding 37.62 should fail, instead e.g. calling > mapply(function(x) qt(p = 0.9, df = 55, ncp = x),35:45) gives: [1] 40.21448 41.35293 42.49164 43.68862 44.82945 45.97048 47.11170 48.25310 [9]

Hi Folks, I note that, while the "chisq" functions dchisq(x, df, ncp=0, log = FALSE) pchisq(q, df, ncp=0, lower.tail = TRUE, log.p = FALSE) qchisq(p, df, ncp=0, lower.tail = TRUE, log.p = FALSE) rchisq(n, df, ncp=0) all have a slot for the non-centrality parameter "ncp", of the functions for the t and F distributions: dt(x, df, log = FALSE)

On Dec 15, 2014, at 1:37 PM, Spencer Graves <spencer.graves at prodsyse.com> wrote: > > >> On Dec 15, 2014, at 10:13 AM, Simon Urbanek <simon.urbanek at r-project.org> wrote: >> >>> >>> On Dec 15, 2014, at 12:21 PM, Kurt Hornik <Kurt.Hornik at wu.ac.at> wrote: >>> >>>>>>>> Spencer Graves writes:

I was wondering how do I actually see what's inside a function, say, density of t distribution, dt()? I know for some, I can type the function name inside R and the code will be displayed. But for dt(), I get > dt function (x, df, ncp, log = FALSE) { if (missing(ncp)) .Internal(dt(x, df, log)) else .Internal(dnt(x, df, ncp, log)) } <environment: namespace:stats> I

In the help file for the non-central t, the following appears: ncp: non-centrality parameter delta; currently `ncp <= 37.62'. I assume that this means the ncp cannot exceed 37.62. Is this still the case and is there any plans to increase this restriction? Thanks! Jeff Jeff Morris Design Support Clinical Chemistry R&D Ortho-Clinical Diagnostics email: jmorris6 at ocdus.jnj.com

Hello all, Here's my query: Running R 1.6.2 on FreeBSD 5.0, and on WinXP, and I find that the following hangs the process: dchisq(alpha=0.01, df=1, ncp=295) but it does work for ncp < 294.92. Is this general? Best wishes to all, Andrew Andrew Robinson Ph: 208 885 7115 Department of Forest Resources Fa: 208 885 6226 University of Idaho E : andrewr at uidaho.edu PO

> On Dec 15, 2014, at 10:13 AM, Simon Urbanek <simon.urbanek at r-project.org> wrote: > >> >> On Dec 15, 2014, at 12:21 PM, Kurt Hornik <Kurt.Hornik at wu.ac.at> wrote: >> >>>>>>> Spencer Graves writes: >> >>> Hello, All: >>> What would it take to make ?iconv? portable? >> >> >>> I

[hoping to redeem myself for my last spurious bug report] From ?corRatio: Letting d denote the range and n denote the nugget effect, the correlation between two observations a distance r apart is (r/d)^2/(1+(r/d)^2) when no nugget effect is present and (1-n)*(r/d)^2/(1+(r/d)^2) when a nugget effect is assumed. This disagrees with the C code (corStruct.c) /* Rational class

Hello Everybody, Is there a function available for calculating the density of a non-central t distribution? (dt does not accept the ncp option). Thanks in advance! -- Wolfgang Viechtbauer "Are you not thinking what I am not thinking?" -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, I posted a question (bellow) a few weeks ago and had a reply (thanks Christian) that partly solves the problem, but I still would like to be able to restrict some of the independent variables in a nls model to be always >0, (is there a way to do it)?? Thanks, Angel >From: "Christian Ritz" <ritz at dina.kvl.dk> >To: "Angel -" <angel_lul at

I have a dataset that I am running non-linear regression on via the following code: Hill <- function(E0,Em,C50,g,C){ # # Hill is the hill interaction function. # # E0 Represents the minimum interaction Effect # # Em Represents the Maximum Interaction Effect # # C50 represents the concentration at which 50% of the effect occurs. # # gamma represents the cooperativity of the

Following series cleans up a few niggles in the libxl destructor autogeneration. _______________________________________________ Xen-devel mailing list Xen-devel@lists.xensource.com http://lists.xensource.com/xen-devel

Hi, I think I have identified a inaccuracy in dchisq when the non-centrality parameter is non-zero and large. Here's a little test: sys.dchisq.test <- function(N = 100000,mean = 0) { z <- rnorm(N,mean = mean, sd = 1) x <- z^2 xmin <- min(x) xmax <- max(x) br <- seq(xmin,xmax,length = 101) dbr <- br[2]-br[1] hist(x,br) p <- dchisq(br,df = 1,ncp =

I am at my first steps with R... and I already notice that the console has a quite limited number of lines. Can anyone tell me how to visualise all the information, which is actually present? I only see the last part of the output, which obviosly exceeds the maximum number of rows in the console. Thank you very much for your help! Daniela [[alternative HTML version deleted]]

> On Dec 15, 2014, at 12:21 PM, Kurt Hornik <Kurt.Hornik at wu.ac.at> wrote: > >>>>>> Spencer Graves writes: > >> Hello, All: >> What would it take to make ?iconv? portable? > > >> I ask, because I want to convert accented characters to >> vanilla ASCII, thereby converting, e.g., ?Ra?l? to ?Raul?, and >> Milan

my current code for dnbinom.c has prob = dbinom_raw(n,x+n,p,1-p,give_log); f = ((double)n)/((double)(n+x)); return((give_log) ? log(f) + prob : f*prob); which should work for x>=0, n>=0, 0<=p<=1. dbinom.raw(x,n,p) is intended to work for x>=0, n>=0, 0<=p<=1, without integer checks. When necessary (ie. for x in the dnbinom case) the checks should be done in the