search for: physicists

Dear R-help, I am interested in using structural equation modeling. Just getting started with it, but I'm looking for suggestions for packages. As an aside, what's the best way for looking for packages at CRAN? -- Robert Terwilliger Biomedical Physicist Laboratory of Neurocognitive Development Western Psychiatric Institute and Clinic University of Pittsburgh Medical Center Loeffler

If _you_ were asked to give a 40 minute dog and pony show about R for a group of scientists ranging from physicists to geographers what would you put in? These people want to know what R can do. I'm thinking about something like: A. Overview B. data structures C. arithmetic and manipulation D. reading data E. linear models using glm F. graphics G. programming H. other tricks like rpart or time series analy...

On Sun, Jul 16, 2017 at 06:02:15PM +0100, Pete Biggs wrote: > > > > The physicists and mathematicians who count there need high durations. > > Yes. I too run HPC clusters and I have had uptimes of over 1000 days - > clusters that are turned on when they are delivered and turned off when > they are obsolete. It is crucial for long running calculations that you > ha...

I have some data consisting of multiple trials of an experiment with different values of an independent variable. If I run R> plot(var,result) I get a scatterplot of result versus the independent variable var. If I run R> plot(as.factor(var),result) I get a boxplot of the distribution of result for each value of var. In this plot, each boxplot is labeled by the corresponding value of

Hi I have a long data set on which I want to do Bland-Altman style plots for each rhythm type Using ggplot2, when I use geom_hline with facet_grid I get an extra set of empty panels. I can't get it to do it with the "Diamonds" data supplied with the package so here is a (much abbreviated) example: > lvexs cvd_basestudy ecd_rhythm fixed_time variable_time 1 CBP05J02

Hi With ggplot2 I can very easily create beautiful histograms but I would like to put two histograms on the same plot. The histograms may be over-lapping. When they are overlapping the bars are shown on top of each other (so that the overall height is the sum of the two). Is there any way to get them to display overlapping (with smaller value in front, larger value behind) so that the overall

I've just discovered R and think it is terrific. I quickly reproduced results with a few lines of R commands that 7 years ago I had to do with a larger fortran code and many calls to NAG routines. (I'm mostly a computational plasma physicist, but occasionally delve into statistical analysis of data.) But I've come accross a very peculiar behavior of attached objects that cost me

Can anyone help me on how to get the nodes and weights of the adaptive quadrature using R. Best wishes Boikanyo. ----- The University of Glasgow, charity number SC004401

...always reinstall a node (tftp / http) - To relieve the internal network printing, I create rpm packages that are installed on the nodes. All this happened about 3 years ago. Centos 1511 was established as a stable variant for the environment. It was one of my many different tasks in my work. The physicists and mathematicians who count there need high durations. My decision much on Centos because: - free - Maintaining until the year 2024, longer than the cluster will live. My way in the beginning was hard, because I had to learn everything from the scratch and I'm no longer the youngest, but...

On Thu, 24 Oct 2024, Chris Rapier wrote: > Have people given thought to the private key encryption methods in light of > potential quantum attacks? While the recent paper about breaking 50bit RSA > doesn't pose a threat I've been thinking about future harvest now, decrypt > later attacks against CC20 and AES. Are there post quantum ciphers that can > effectively replace

hi, i am trying to teach myself about ARIMA models. i have followed examples from a number of sources and have more or less got the hang of how it works. i would like to compare the output from the fitted model to the original data. is this possible? or even a meaningful thing to do? to be clear, for example, having generated a fit to some data using > fit <- arima(LakeHuron, order = c(1,

hi, i am sure that this is a trivial question but i have not been able to find an answer by searching the mailing lists. i want to plot points on a graph, joined by lines. the command that i am using is points(x, y, type = "b", pch = 21) this plots nice open circles at the data points and draws lines between them. however, the lines do not come all the way up to the edge of the

I am not sure if this is an R development problem or not. I am starting with completely clean OS and and installing the latest version of R without trying to anything special but I am having trouble with the LAPACK library linking when I try to build packages that require them. I thought perhaps my problem may be if interest here. I just dumped Vista off a laptop formatted the disk and

DeaR list, Has anyone tried to mix the Sweave paradigm with the Markdown[*] (and co.) syntax? Would this be hard to implement? My tiny understanding of Sweave is that one can define new drivers for the text part, while some functions that deal with the R code would not require any modification. Here's the reason I'm interested in Mardown for a driver. I've been orbiting

I''m a physicist working on fusion energy and dabble in statistics only occasionally, so please excuse gaps in my statistical knowledge. I''d appreciate any help that a real statistics expert could provide. Most people in my field do only very simple statistics, and I am trying to extend some work on multivariate linear regression to account for significant between-group

Hi all- I am trying to use the time function for ts class objects and do not understand the return value. I want to use it to set up a time trend in arima fits. It does not seem to return a correct linear sequence that matches the underlying time series. I am running: R version 2.8.1 (2008-12-22). For example: R> ## create a time series R> x <- rnorm(24) R> (xts <-

Reposting from R-help: Dear R experts, please excuse me for writing to the mailing list without subscribing. I have a somewhat urgent problem that relates to R. I have to process large amounts of data with R - I'm in an international collaboration and the data processing protocol is fixed, that is a specific set of R commands has to be used. I wrote a perl program that manages creation of

I just dumped Vista off a laptop and installed Ubuntu 10.10 (latest release) as the single operating system. I did all of the updates and then installed emacs and ess. Next I installed R by following the the usual instructions on the CRAN site. At this point all is working I am now in the process of installing the packages that I normally have installed. I am having a problem with the LAPACK

...if (args.ball.color == "red") this.doTheBounceStuff(args.ball, args.howHigh * 2); else this.doTheBounceStuff(args.ball, args.howHigh); }, doTheBounceStuff: function(ball, howHigh) { ...push back on the ball to make a bunch of dead physicists proud... } }; Please let me know if you have any questions about this class... Most of the other methods should be pretty self-explanatory though. You should be able to drop it in and be on your way to a consistent, robust event model for all your objects :-) Enjoy! Sincerely, Ryan...

Hi, Having searched google '[R] aov effect size' without any results I wonder if I not completely miss something. Is there any R function that calculates the effect size of an AOV's main effect or interaction effect? It should be related to the F's and the degree of freedom of the error, but the multitude in numbers in aov() baffle me a bit. Thanks, ---david