similar to: Off Topic: Statistical "philosophy" rant

Dear all, I have some C code using the zlib uncompress. It compiles fine under Win XP (with SP2) with R up to 2.3.1 and generates four files (Makedeps, *.d, *.dll, and *.o): C:\Data\R-packages\cmg>rcmd SHLIB cmg.c -o cmg.dll latex: not found making cmg.d from cmg.c gcc -IC:/PROGRA~1/R/R-2.3.1/include -Wall -O2 -c cmg.c -o cmg.o cmg.c: In function `readcmg': cmg.c:33: warning:

Hello everyone Suppose I have an S3 class "dog" and a function plot.dog() which looks like this: plot.dog <- function(x,show.uncertainty, ...){ <do a simple plot> if (show.uncertainty){ <perform complicated combinatorial stuff that takes 20 minutes and superimpose the results on the simple plot> } } I think that it would be better to somehow

Hi This is probably more of a statistics question than a specific R question, although I will be using R and need to know how to solve the problem in R. I have several sets of data (ejection fraction measurements) taken in various ways from the same set of (~400) patients (so it is paired data). For each individual measurement I can make an estimate of the percentage uncertainty in the

Hello. R-devel, r61697. I am having difficulty interpreting section 1.4 "Writing package vignettes" of the R-exts manual. Specifically, I want to use system.file() in some of my packages to locate a bib file, uncertainty.bib, which is part of the emulator package. I only want to maintain a single .bib file. R-exts says: "All other files needed to re-make the vignette PDFs (such

FYI, Follow the Quick Start Guide from Carrier Access to setup the CMG (Customer Media Gateway) Router card. Follow the Asterisk mgcp.conf wiki page setup. The only issue I had was with the CAC CMG card, it defaults to strict policy message exchange and dial-tone will not come across when you go off-hook on a FXS port. To resolve this, get back into the CAC CMG configuration, goto: -profile

hi, When I try to use the function coordProj {mclust} " coordProj(diabetes[,-1],dimens=c(2,3),what="uncertainy",uncertainty=diabetesModel$uncertainty,parameters=diabetesModel$parameters) " to identify uncertainty, it errors and send this warning message: " Warning message: In coordProj(diabetes[, -1], dimens = c(2, 3), what = "uncertainy", : what

Hello all, i hope you don't mind my off topic question. i want to use the Akaike criterion for variable selection in a regression model. Does anyone know some basic literature about that topic? Especially I'm interested in answers to the following questions: 1. Has (and if so how has) the criterion to be modified, if i estimate the transformations of the variables too? 2. How is the

Dear all, Very simple question, but apparently uneasy to solve in R: I have a sampling of a variable x: (3, 4. 5, 2, ...) I want to know: - the mean <x> -> mean(x) - the uncertainty on <x> -> std.error(x) ? Or sd(x)? - the standard deviation of x -> ? - the uncertainty on the standard deviation -> ? Anyone has an idea? Thanks in advance,

I'm having trouble with a simple application with metRology. I need to estimate the uncertainty of the density thickness of seven sheets of film. This is calculated from measurements of mass, length and width of rectangular samples of film. It's not too hard to calculate the whole thing with a little Monte Carlo loop. I get about 0.07 with this: #sample area

I've searched but can't find an answer as to how many MGCP paths can a single ADIT/CMG card support? It appears it's only 24 ports, maybe 48. What I'd like to do is install 6 Telco T1's into a single (or more) Adit 600 and route inbound calls towards asterisk. Can I have more than one CMG in a single chassis? Or maybe you know of a better way to connect T1's to

As this forum proved to be very helpful, I got another question... I'd like to fit data points on which I have an error, dx and dy, on each x and y. What would be the common procedure to fit this data by a linear model taking into account uncertainty on each point? Would weighting each point by 1/sqrt(dx2+dy2) (and taking dx and dy as relative errors) in a lm() fit do the job? I would like to

I've been reading the Google searches trying to understand how to tie together Adit 600 to Asterisk to provide 2 way service. I'm about blind from reading. I assume, the answer is using MGCP between the boxes. However, the examples I found don't really explain fully enough to know how to modify examples to work for me. I'll have in the ADIT with T1's. There is a CMG and

Dear R friends I´m interested into apply a Jackknife analysis to in order to quantify the uncertainty of my coefficients estimated by the logistic regression. I´m using a glm(family=’binomial’) because my independent variable is in 0 - 1 format. My dataset has 76000 obs, and I´m using 7 independent variables plus an offset. The idea involves to split the data in let’s say 5 random subsets and

Has anyone had any success using the Adit 600 with the CMG card talking MGCP to asterisk? I want to have a central asterisk server with 10 Adit 600's at various locations providing 24 FXS ports.... Thanks, Isaac

I am forklifting a Merridian option 51c with 112 Nortel Digital Handsets and 400 analog units. For the analog units I have quotes for 9 ADIT 600 48 port fxs units and 17 Rhino 24 port FXS channel banks. I have used neither. Which is the best choice? The price difference is not that great. I am looking at Citelinks 24 port Handset Gateway for the Nortel Digital units. (Any other suggestions

WARNING: COMPLETELY OFF TOPIC -- Nothing to do with R. I thought readers of this list might enjoy the following. The link to the full article is at the bottom. I hope this is not "too" inappropriate. ------- Overconfidence in crime statistics doesn?t pay. In a new study, a team of criminologists makes the case that reported crime rates should acknowledge uncertainty in the data. The

Forum, I'm a grad student in Civil Eng, took some Stats classes that required students learn R, and I have since taken to R and use it for as much as I can. Back in my lab/office, many of my fellow grad students still use proprietary software at the behest of advisers who are familiar with the recommended software (Statistica, @Risk (Excel Add-on), etc). I have spent a lot of time learning

Hello, I have some measurements that I am trying to fit a model to. I also have uncertainties for these measurements. Some of the measurements are not well detected, so I'd like to use a limit instead of the actual measurement. (I am always dealing with upper limits, i.e. left censored data.) I have successfully run survreg using the combination of well detected measurements and limits,

Dear R-Users, The following question is more of general nature than a merely technical one. Nevertheless I hope someone get me some answers. I have been using the mice package to perform the multiple imputations. So far, everything works fine with the standard regressions analysis. However, I am wondering, if it is theoretically correct to perform nonparametric models (GAM, spline

Good day folks, I'm using Samba 2.2.8a [1] on Slackware 9.1 with 2000/XP clients. I'm attempting to have a process by which a user drags a file using Windows Explorer into a share. On the server side, I have a unix process that polls the directory for new files and then reads them and deletes them. I'm having a problem where I can gain the lock but the process is still writing to