similar to: help with Tukey Mean-Difference Plot

Dear Professor I have read your questions in the website on Doubly non-central F-distribution. I am looking for source code for evaluating this function now. I have matlab code but it's only accurate up to the 4th decimal point. Dataplot is more accurate, but it is not user friendly as you only can evaluate one function at a time. So I would like to know do you have found any R code for

hi! I would like to ask help how to generate numbers from g-and-h distribution. This distribution is like normal distribution but span more of the kurtosis and skewness plane. Has R any package on how to generate them? Any help will be greatly appreciated. Thank you so much! Form, Filame Uyaco --------------------------------- [[alternative HTML version deleted]]

The attached patch to the qemu emulation of the pcnet hardware fixes several problems. It will now only read and write a transmit or receive descriptor once. It will correctly handle transmitting frames with more than two fragments. It will discard oversize frames instead of corrupting memory. I have tested all the changes I have made and even seen an improvement in receive performance from

The function wtd.var(x,w) in Hmisc calculates the weighted variance of x where w are the weights. It appears to me that wtd.var(x,w) = var(x) if all of the weights are equal, but this does not appear to be the case. Can someone point out to me where I am going wrong here? Thanks. Tom La Bone [[alternative HTML version deleted]]

> De : Bill Venables <venables at acland.qld.cmis.csiro.au> > Objet : Re: [R] paste ? > Date?: mardi 25 avril 2000 08:45 > (...) > Secondly, I'm curious about the history of this kind of plot. > I've only heard it called a "Tukey mean difference" plot, (and > Trellis graphics has a function, tmd(), that does it, but no one > knows about it...).

Hi, I recently made changes to lattice code which needed changes in many man pages as well. Before I made the appropriate changes, R CMD check was flagging most of the problems correctly, except for the man page for tmd. I have created a toy package that shows this, available at http://www.stat.wisc.edu/~deepayan/R/tmdprob_0.12-2.tar.gz This passes R CMD check on R 2.1.0 and r-devel from August

I am trying to do a Nonparametric Tukey-type multiple comparison post-hoc test to determine which groups are significantly different. I have read the dialogue on this topic from the R-help, and am still not clear why no statistical packages include this test as an option? Is it not an appropriate test to conduct on non-normally distributed data? Is the only option to calculate it by hand

Hello All, I remember there is a way to use two Asterisk servers and allow one to see a virtual trunk that makes it so server B can use the ZAP channels on server A. Does anyone know where I can find this? I am racking my brain trying to remember the terminology. It was like creating a 24 channel virtual T1 connection from server B to Server A that allowed server B to not have any ZAP

Dear all: Plan 1: I want to do serval t-test means for different variables in a loop , so I want to add all results to an object then dump() them to an text. But I don't know how to append T-test result to the object? I have already plot the barplot and I want to know an elegant way to report raw result. Can anybody give me some pieces of advice? Yao He ????????????????????????? Master

Hi Rich, good advice about buying grandstream SIP handsets instead of using analog handsets though I think you might that using a 30 channel E1 in Hungary is tough to get. Can you also explain to him about Channel Banks. Dean -----Original Message----- From: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users-bounces@lists.digium.com] On Behalf Of Rich Adamson Sent: Friday,

IIRC, the license stated in the source code of dataplot is rather restrictive. I don't think one is allowed to use the source as can be done with GPL code. Cheers, Andy > -----Original Message----- > From: Brett A Magill [mailto:Brett.Magill at slps.org] > Sent: Thursday, June 27, 2002 1:14 PM > To: r-help at stat.math.ethz.ch > Subject: [R] FW: re: GUI's for teaching

Hello everyone, for some exploratory analysis I would like to compare the distribution of an observable WERT pairwise between several samples identified by STICHPROBE (which differ in size). > str(stichproben_o1o4_20080327ff[c("STICHPROBE", "WERT")]) 'data.frame': 6087 obs. of 2 variables: $ STICHPROBE: num 9 9 2 2 7 3 2 3 8 6 ... $ WERT : num 165 184

Robert, Essentually I want to be able to have Server B dial the extensions connected to server A as well as route calls to the outbound route on Server A. Server B will have little to no knowledge of what is on Server A. I just want it to dump the calls off. For some reason I keep thinking this was a PRI type of thing. Like there was a module that loaded up as a fake PRI that your

Hey All, So - I promise to write a blog post on this topic and post it somewhere on the internet once I get to the bottom of this. Basically, the set-up to the problem is like this: 1. I have a data frame with dim (2547290, 4) 2. I need to make SQL like lookups on the dataframe. I have been using the following sort of syntax: a.dataframe[a.dataframe[[column_index]] %in% some_value, ] 3.

Have a look at the GUI on dataplot, NIST's plotting software. It is implemented in tcl/tk. The site states it is "public domain software" -- open source? I can't find anything about the license. In any case... http://www.itl.nist.gov/div898/software/dataplot/ Brett A. Magill, Evaluator Research, Assessment, and Evaluation Saint Louis Public Schools Brett.Magill at

Dear R help-list reader, I would like to generate a plot which compares to states in a patient treatment, before and after. for this reason I have generated a vector before<-c(1,30,23,40) and after<-c(20,10,20,60) the first element in "before" corresponds to the first element in "after". I would like and generate a dotplot with before and after as x-scale, the elements

Hi everyone- I have a dataset with multiple "pre" and "post" variables I want to compare. The variables are named "apple_pre" or "pre_banana" with the corresponding post variables named "apple_post" or "post_banana". The variables are in no particular order. apple_pre orange_pre orange_post pre_banana apple_post post_banana person_1

Dear R-Users, Being an engineer and not a statistician, my desired course of action may either be impossible or very simple. I am attempting to fit a non-linear model to some measured data. One term in the model contains a square-root, but in the course of regression, this term turns negative and an error occurs. I started using Micrsoft's Excel Solver, and then I turned to NIST's

Dear R users, according the help(log), the function log2(x) should give the natural logarithm of x. I expect in case of x=2 to to get 0.6931, however, R gives me 1 as a result. Similar, logb(2,2) gives 1 again. I'm wondering if I have missed something ? Yours Frank -- Frank Mattes, MD e-mail: f.mattes at ucl.ac.uk Department of Virology fax 0044(0)207 8302854 Royal Free Hospital

Dear R-help reader, it would be great if someone knows what I'm doing wrong. I have (shorten) dataframe, which consists of a group identification and a number >ex UID REL 1 R1.B8.31 0.000 2 R1.B8.31 0.000 3 R1.B8.31 0.000 4 R1.B8.31 0.000 5 R1.B8.38 0.010 6 R1.B8.38 0.060 7 R1.B8.38 0.006 8 R1.B8.38 0.010 9 R1.B8.48 0.080 10 R1.B8.48 NA 11 R1.B8.48 0.006 I'm