search for: uncertainty

...stion, 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 measurement. Generally the measurements in data set A are higher but they have a large uncertainty (~20%) while the measurements in data set Bare lower but have a small uncertainty (~4%). I believe, from the physiology, that the true value is likely to be nearer the value of A than of B. I n...

...ts 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, but I would like to include the measurement uncertainty (for the well detected measurements) in the fitting. As far as I can tell, survreg doesn't support this. Does anyone have a suggestion for how to accomplish this? Thanks, Kyle

...es: @ARTICLE{far92cos, author = {Faraway, J. J.}, year = 1992, title = {The cost of data analysis}, journal = J Comp Graphical Stat, volume = 1, pages = {213-229}, annote = {bootstrap; validation; predictive accuracy; modeling strategy; regression diagnostics;model uncertainty} } I welcome further relevant references, pro or con! Finally, I need to emphasize that these are clearly my very personal views and do not reflect those of my company or colleagues. Cheers to all ... ----------- The relevant portion of Frank's original comment was in a thread about K-S te...

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 precalculate the uncertainty stuff and plot it separately...

please reply to hdgbyi@public.guangzhou.gd.cn or bgpgong@hotmail.com, thank you. UNCERTAINTY PRINCIPLE IS UNTENABLE By reanalysing the experiment of Heisenberg Gamma-Ray Microscope and one of ideal experiment from which uncertainty principle is derived , it is found that actually uncertainty principle can not be obtained from these two ideal experiments . And it is found that uncert...

please reply to hdgbyi@public.guangzhou.gd.cn or bcpgong@hotmail.com, thank you. UNCERTAINTY PRINCIPLE IS UNTENABLE By reanalysing the experiment of Heisenberg Gamma-Ray Microscope and one of ideal experiment from which uncertainty principle is derived , it is found that actually uncertainty principle can not be obtained from these two ideal experiments . And it is found that uncert...

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 as ... BiBTeX input files) must in the vignette source directory". So I've put my Rnw file and also the bib file in emulat...

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 L<-5*2...

I have measurements with uncorrelated uncertainties on both axes. I would like to get the uncertainties on the intercept and the slope of the weighted linear regression model taking into account the uncertainties of the measurements. Is these any way to do that in R? Thanks- Nicolas

One of the assumptions, on which the (General) Linear Modelling is based is that the response variable is measured with some uncertainties (or weighted), but the explanatory variables are fixed. Is it possible to extend the model by assigning the weights to the explanatory variables as well? Is there a package for doing such a model fit? Thanks

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 improperly specified " I am confuzed an...

Dear R Helpers, I was looking at the email help threads in trying to find a calculation in R of Thiel's uncertainty coefficient. One of the writers offered to send the function in custom code to the inquirer. Can I get a copy of that code, or does anyone know if the calculation is now available in an R package? Please advise. Many thanks. --John J. Sparks, Ph.D.

Dear sir Schwartz, In response to a granted online request to receive R code in order to generate Theil's Uncertainty coefficient, I was hoping I could receive the same favor. https://stat.ethz.ch/pipermail/r-help/2011-May/279210.html Thank you in advance, I hope to hear from you. Kind regards, Jos? Snoep Stagiair Universitair | MC ES - SOFY +31 6 13060740 Snoep.Jose at kpmg.nl<mailto:Snoep.Jose at kpmg.nl&...

...at da and db are correlated in some way and by doing what I entended to, I would overestimate the final error of my model... My statistical skills are rather weak, is there a way people usually deal with this kind of problems? Thanks -- View this message in context: http://r.789695.n4.nabble.com/Uncertainty-propagation-tp2713499p2713499.html Sent from the R help mailing list archive at Nabble.com.

Dear colleagues in R, Has anybody implemented the 1) (Goodman & Kruskal) lambda or the 2) (Thiel's) uncertainty coefficient statistics (in the asymmetric and symmetric forms), or is anyone aware that they might reside in some package? A search in the R archives does indicate that they are (somehow) part of the CoCo package, but I would rather not start learning how to transform my data into CoCo-format...

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, regards, Xavier -- *--------------------------------------- Xavier Prudent * * Computational biology and evolu...

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 then...

Hi there, I'm new to R but I thought this is the most likely place I could get advice or hints w.r.t the following problem: I have a series of measurements xi with associated uncertainties dxi. I would like to construct the probability density histogram of this data where each density estimate has an associated error that is derived from the dxi. In other words, for large dxi the

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 propagate uncertainty of the points into the uncertainty of the fit, would that be the case? Thanks for all the help -- View this message in context: ht...

I need to know of my version of Postfix supports a feature, given rh version numbers don't really tell you much I was trying to find an errata on postfix or anything to let me know the real version of it. How does one deal with this scenario? Is there a source of info to determine this info? Thanks! jlc -------------- next part -------------- An HTML attachment was scrubbed... URL: