similar to: DescTools::Quantile

Greetings, I am having a problem with DescTools::Quantile (a function computing quantiles from weighted samples): # these sum to one probWeights = c( 0.0043, 0.0062, 0.0087, 0.0119, 0.0157, 0.0204, 0.0257, 0.0315, 0.0378, 0.0441, 0.0501, 0.0556, 0.06, 0.0632, 0.0648, 0.0648, 0.0632, 0.06, 0.0556, 0.0501, 0.0441, 0.0378, 0.0315, 0.0257, 0.0204, 0.0157, 0.0119, 0.0087,

While using the Hodges Lehmann Mean in DescTools (DescTools::HodgesLehmann), I found that it generated incorrect answers (see <https://github.com/AndriSignorell/DescTools/issues/97> https://github.com/AndriSignorell/DescTools/issues/97). The error is driven by the existence of tied values forcing wilcox.test in Base R to switch to an approximate algorithm that returns incorrect results - see

Dear all, I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB of RAM. I'm trying to reproduce a result out of "Analysis of Financial Time Series" by Ruey Tsay. In R I'm using the fGarch library. After fitting a ar(3)-garch(1,1)-model > model<-garchFit(~arma(3,0)+garch(1,1), analyse) I'm saving the results via > result<-model

Hi Everyone, Following the previous discussion on optimizing *wilcox functions, Andreas Loeffler brought to my attention a few other bugs in `wilcox` family functions. It seems like these issues have been discussed online in the past few months, but I haven?t seen discussion on R-devel...unless I missed an email, it seems like discussion never made it to the mailing list. I haven?t seen any bug

Hello, I have three numerical variables and I would like to test if their correlation is significantly different. I have seen that there is a package that "Test the difference between two (paired or unpaired) correlations". [https://www.personality-project.org/r/html/paired.r.html] However, there is the need to convert the correlations to "z scores using the Fisher r-z

Hello! I want to calculate simultaneous confidence intervals for a nominal variable with three categories: "yes", "no", "partially" and I expect that far more than 5 samples fall into each category. I have read that Glaz & Sison's method is only appropriate for variables with 7 or more categories. Therefore, the Goodman method seems like a good idea. I have

Thank you, but this now sounds more difficult: what would be the point in having these ready-made functions if I have to do it manually? Anyway, How would I implement the last part? On Thu, Mar 23, 2023 at 1:23?AM Ebert,Timothy Aaron <tebert at ufl.edu> wrote: > > If you are open to other options: > The null hypothesis is that there is no difference. > If I have two equations

Could you help me in getting a package to compile from source in Windows? I'm running Windows NT 4.0 on a pentium 450 with 128 Mb of Ram. I've got R 1.0.0. I am developing a package for R which includes a bit of C code. I have things working in Unix just fine, and now I want to port it to Windows NT. I've been following the instructions in the R complements to Venables and

Hi Eric, you can use an annotate-layer, eg ind<-which(sig>0,arr.ind = T) ggplot(m1.melted, aes(x = Month, y = Site, fill = Concentration), autoscale = FALSE, zmin = -1 * zmax1, zmax = zmax1) + geom_tile() + coord_equal() + scale_fill_gradient2(low = "darkred", mid = "white", high = "darkblue",

Using the small reproducible example below, I'd like to know if one can somehow use the matrix "sig" (defined below) to add a black outline (with lwd=2) to all pixels with a corresponding value of 1 in the matrix 'sig'? So for example, in the ggplot2 plot below, the pixel located at [1,3] would be outlined by a black square since the value at sig[1,3] == 1. This is my first

On Fri, Sep 14, 2007 at 11:42:18PM -0700, Tanya Lattner wrote: > The 2.1 pre-release (version 1) is available for testing: > http://llvm.org/prereleases/2.1/version1/ > > [...] > > 2) Download llvm-2.1, llvm-test-2.1, and the llvm-gcc4.0 source. > Compile everything. Run "make check" and the full llvm-test suite > (make TEST=nightly report). > > Send

On Mon, 8 Nov 2004 ssim at lic.co.nz wrote: > > Is there an add-on package in R for QTL interval mapping for outbred > population, eg. Haley-Knott regression method ? > > Stella I believe Karl Broman's R/QTL (http://biosun01.biostat.jhsph.edu/~kbroman/software/) and Brian Yandell's bim (http://www.stat.wisc.edu/~yandell/qtl/software/), Richard Mott's happyR

Dear R-Helpers, I am using qtl package to analyze qtl data from QTL cartographer. I have the map file and cro file from QTL cartographer. I was trying to import these two files in R using qtl package. data=read.cross("qtlcart", ".", "crofile.txt", "mapfile.txt") ### I have matched the file structure with the one on the website of qtl package - It matches

Hi R, I tried to install one local source package---"qtl" into R, but failed with the following message. I am using Macbook OS 10.8.3 with Xcode 4.6.1. ld: warning: directory not found for option '-L/usr/local/lib' ld: library not found for -lgfortran collect2: ld returned 1 exit status make: *** [qtl.so] Error 1 ERROR: compilation failed for package ¡®qtl¡¯ * removing

Because functions get called and therefore, the calling sequence matters. It?s just protecting you from yourself, but as someone pointed out, there?s a way to silence such notes. G From: Herv? Pag?s <hpages.on.github at gmail.com> Sent: Tuesday, February 6, 2024 2:40 PM To: Izmirlian, Grant (NIH/NCI) [E] <izmirlig at mail.nih.gov>; Duncan Murdoch <murdoch.duncan at gmail.com>;

Hi, If you have multiple players installed on your PC/Mac .m3u will always open the last media player who are the default in charge of the extension and mime m3u. On your web site you want maybe to force a link to open real media player or quicktime/itune. You need to create a .pls to force winamp loading the streaming because windows media player won't open .pls etc. If you add a .pls

I put the idea below into a function that gives nicer looking results. Here's the new code: dupnames <- function(path = ".") { Rfiles <- pkgload:::find_code(path) allnames <- data.frame(names=character(), filename=character(), line = numeric()) result <- NULL for (f in Rfiles) { exprs <- parse(f, keep.source = TRUE) locs <-

Hello R-users! I have a style question. I know that for loops are somewhat frowned upon in R, and I was trying to figure out a nice way to do something without using loops, but figured that i could get it done quickly using them. I am now looking to see what kind of tricks I can use to make this code a bit more aesthetically appealing to other R users (and learn something about R along the

¿Alguien sabe si el test de reacciones extremas de Moses está escrito en algún paquete de R? Gracias de antemano.

Here's a dummy example that I think illustrates the problem: toto <- function() { if (runif(1) < 0.5) function(a) a else function(a,b) a+b } > fcn <- toto() > fcn(1,2) [1] 3 > fcn <- toto() > fcn(1,2) [1] 3 > fcn <- toto() > fcn(1,2) Error in fcn(1, 2) : unused argument (2) How can you use the returned function, if you get different arguments?