search for: evalutate

To the list: What R commands will perform the score test on an ordered multinomial logit model to evaluate the proportional odds assumption? Many thanks. Mtichell Wachtel [[alternative HTML version deleted]]

Hi, Is it possible to run R in command line to evalute R expressions and return results to stdout, something like >R CMD -e "R.version$minor" then you got return >"8.1" Or do a simple calculation >R CMD -e "sin(1.2)" >0.932039 Thanks. -- Pingping Zheng Department of Mathematics and Statistics Fylde College Lancaster University Lancaster LA1 4YF

Dear R Experts, Why I try to run this expression: x<-sapply(rnorm(rep(10,100000),mean=9,sd=1.5),mean) it evaluates the first 10000 values and then stops, but does not return to the command prompt. My cpu keeps running at 100%. When I exit the expression with CTL-C, I then see that x holds 10000 values. How can I evalute the expression 100000 times, or more if I want? Thanks in advance.

Here is the test code. foo<-function(x) exp(-x) for (i in 1:5) { foo<-function(x) foo(x)*x foo(2) } The error is "evalution nested too deeply". I tried Recall() but it didn't work either. Thanks a lot for your input.

On Mon, Apr 7, 2014 at 12:09 PM, Joerg Sonnenberger <joerg at britannica.bec.de > wrote: > On Mon, Apr 07, 2014 at 08:38:58AM -0600, Richard wrote: > > Oops, meant to send this to the mailing list instead of to Reid > > privately. (Why cc the mailing list instead of just sending to the > > mailing list?) > > > > In article <CACs= >

I have selected 4 software packages for us to evaluate in order to decide on the best possible engine for the much-requested cAos Community Wiki. All 4 samples are now up and running for you to try out, play around with, and evalute. The URL's are as follows: https://caos.nplus1.net/c-arbre/ https://caos.nplus1.net/dokuwiki/ https://caos.nplus1.net/pwp/ https://caos.nplus1.net/tikiwiki/

Hello! plot(1:10,main=expression(1 <= "m" <= 5)) The above command works perfectly in R 1.9.1 but returns an error in R 2.0.1 This is documented in NEWS for R 2.0.0 (or ONEWS in R 2.0.1) and it is said: o R no longer accepts associative use of relational operators. That is, 3 < 2 < 1 (which used to evalute as TRUE!) now causes a syntax error. If this

Hi all, I'm doing Multiple linear regression for a data set. However, it takes a lot of time, as I would like to check every possible combination of factors, evalute the results based for instance on their p values, and then choose the best regression model. So, I wonder if anyone might have a script for that? Or if not, do you have some suggestions how to create such a script? I've

Hello, I am a very new user to R so please have patience with me. :clap: I am trying to evalute the "internal response" for a couple of different cluster methods with the help of the AdjustedRandIndex, which is included in the mclust package. However, I do get a bit puzzled when I get a negative value as the value should be in intervall of [0,1], am I correct? Have I done something

hello there, any one who used ASTCC in a real enviroment, or has successfully handled above 1k simultanous calls. need some evalution of ASTCC. if any one has such an experience please share it with the rest thank you Atif

This has been asked before, but I just cannot figure out why lapply should behave this way given that R uses lazy evalution. Even after reading (or at least trying to read) parts of the R language definition. > f <- function(x) {function() {x}} > a <- list(f(1), f(2), f(3)) > a[[1]]() # as expected [1] 1 > a[[2]]() # as expected [1] 2 > a[[3]]() # as expected [1] 3 > b

Hi everyone, yesterday I had to debug a failing join on a large domain for a group of primary schools with 1000+ desktop and 10k accounts. The domain run mostly ok except for some replications issues, however joining a new DC just takes eons and so does dbcheck. After some investigation into dbcheck (4.1.17) and some "human powered" valgrind like evalution using pudb, I came to the

R help list subscribers, I am a new user of R. I am attempting to use R to explore a set of equations specifying the dynamics of a three trophic level food chain. I have put together this code for the function that is to be evaluted by LSODA. My equations Rprime, Cprime, and Pprime are meant to describe the actual equation of the derivative. When I run LSODA, I do not get the output that

https://bugzilla.netfilter.org/show_bug.cgi?id=1456 Bug ID: 1456 Summary: Consider eliding empty variables if expanded within an element list Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5 Component: nft

Hi, recently I have started working with R (v. 2.7.2), and I have been using R's internal ARIMA_Like() function (from the "stats" package) to estimate some ARIMA models. In particular, I use ARIMA_Like() in a function "fn()" that I feed to the optim() method; the main goal is to find optimal ARIMA prediction models for some time series. The ARIMA_Like() function returns a

Hi, I'm currently working on evalutating a AD-Domain for my Department. Since I have a couple of year experince in running a NT-Style Domain, my choice is samba - nowadays AD-DS. Now I'm stuck, and I would really appreciate some more thoughts and a push in the right direction. :-) Thank your in advance Franz The facts: A quick test installation is working as expected - Debian Jessie,

Following the directions for using RJS has nearly worked for me - actually I''m using it successfully but not the way its documented and others have reported it working. The javascript code is generated properly but its not evaluted. I followed instructions found at: http://www.codyfauser.com/articles/2005/11/20/rails-rjs-templates and

Hello!!! Thank you all for your suggestion on my last question about locfit. Now I have another question: I would like to change the evalution structure ev in locfit() to a vector/matrix. I created a vector and a matrix: > vec <- mat.or.vec(101, 1) > vec <- c(0:100) > mat <- matrix(data = vec, nrow = 101, ncol = 1) and I tried to change the ev parameter: > fit <-

Hi. The following statement works fine in R-win 1.8.0, but yields a syntax error in R-win 2.0.1 (and possibly in other versions after 1.8.0): plot(c(1,2),main=expression(a==b==c)) I note that the following workaround executes successfully in both versions of R... plot(c(1,2),main=expression(a*"="*b*"="*c)) ...but I don't really understand

Hi R People: Sorry about the off topic question. Does anyone know the reference for "-2 Log Lambda is approx dist. Chi square", please? It may be Bartlett, but I'm not sure.... thanks in advance! Sincerely, Laura Holt mailto: holtlaura at gmail.com