search for: operationalize

Hi Let's assume, we have a multiple linear regression, such as the one using the Scottish hills data (MASS, data(hills)): one dependent variable: time two independent var (metric): dist, climb if I am interested, after (!) fitting a lm: my. lm <- lm(time ~ dist + climb, data = hills) in the equivalence (or non-equivalence) of the two predictors "dist" and

...the terminal node associated with a new data entry in an rpart environment? In the example below, if I had a new data entry with an AM of 5, I would like to link it to the terminal node 2. My searches led to http://tolstoy.newcastle.edu.au/R/e4/help/08/07/17702.html but I do not seem to be able to operationalize Professor Ripley's suggestions. Many thanks. Tudor > tree.prune n= 2400 node), split, n, loss, yval, (yprob) * denotes terminal node 1) root 2400 779 0 (0.6754167 0.3245833) 2) AM< 6.5 1428 254 0 (0.8221289 0.1778711) * 3) AM>=6.5 972 447 1 (0.4598765 0.5401235)...

Thanks for the response, Jeremie. I wholeheartedly agree about testing. In my case, this feature would be used purely to reduce computation time. I?m calculating an expensive (and embarrassingly parallel) likelihood function, and for some parameter combinations my objective function diverges to infinity. In those instances, I?d like to throw an error that stops subsequent computations and that I

...ough lmer to get dummy results and use that number to create the matrix but that doesn't work because the data frame is large and I run into problems running subsets of the data frame against lmer, so this wouldn't be a universal solution. Any help is appreciated. I apologize if I have not operationalized the question sufficiently. -- View this message in context: http://n4.nabble.com/Counting-a-number-of-elements-in-an-object-tp1690513p1690513.html Sent from the R help mailing list archive at Nabble.com.

...eaching a solution, so I now post it here (with some clarifications) in the hope that someone following this list might have an answer for me: Has anyone had much experience with spatial interaction (or gravity) models, specifically in the form of Poisson regression? I'm a bit unsure of how to operationalize this using glm(), and would appreciate any pointers from those with more experience. I have searched the archives extensively, and there are several mentions of this question, but I have yet to find anything concrete that I can wrap my head around... apologies if I have missed something. Basically...

Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of September: The mathpix package

Hi all, I have probably a basic question, but I can't seem to find the answer in the literature or in the R-archives. I would like to do a robust ANCOVA (using either rlm or lmRob of the MASS and robust packages) - my response variable deviates slightly from normal and I have some "outliers". The data consist of 2 factor variables and 3-5 covariates (fdepending on the model).

==================================================================== CALL FOR PAPERS 14th Workshop on Virtualization in High­-Performance Cloud Computing (VHPC '19) held in conjunction with the International Supercomputing Conference - High Performance, June 16-20, 2019, Frankfurt, Germany. (Springer LNCS Proceedings) ====================================================================

==================================================================== CALL FOR PAPERS 14th Workshop on Virtualization in High?-Performance Cloud Computing (VHPC '19) held in conjunction with the International Supercomputing Conference - High Performance, June 16-20, 2019, Frankfurt, Germany. (Springer LNCS Proceedings) ====================================================================

Please accept our apologies if you receive multiple copies of this Call for Papers ==================================================================== CALL FOR PAPERS 14th Workshop on Virtualization in High­-Performance Cloud Computing (VHPC '19) held in conjunction with the International Supercomputing Conference - High Performance, June 16-20, 2019, Frankfurt, Germany. (Springer

Please accept our apologies if you receive multiple copies of this Call for Papers ==================================================================== CALL FOR PAPERS 14th Workshop on Virtualization in High?-Performance Cloud Computing (VHPC '19) held in conjunction with the International Supercomputing Conference - High Performance, June 16-20, 2019, Frankfurt, Germany. (Springer

*====================================================================CALL FOR PAPERS 13th Workshop on Virtualization in High­-Performance Cloud Computing (VHPC '18)held in conjunction with the International Supercomputing Conference - High Performance,June 24-28, 2018, Frankfurt, Germany.(Springer LNCS Proceedings) ====================================================================Date: June

*====================================================================CALL FOR PAPERS 13th Workshop on Virtualization in High?-Performance Cloud Computing (VHPC '18)held in conjunction with the International Supercomputing Conference - High Performance,June 24-28, 2018, Frankfurt, Germany.(Springer LNCS Proceedings) ====================================================================Date: June

*Please accept our apologies if you receive multiple copies of this Call for Papers====================================================================CALL FOR PAPERS 13th Workshop on Virtualization in High?-Performance Cloud Computing (VHPC '18)held in conjunction with the International Supercomputing Conference - High Performance,June 24-28, 2018, Frankfurt, Germany.(Springer LNCS