similar to: Multi-level Models with NLME

Hello everyone, Can someone point me to some resources on managing data in R and/or S-plus? I have started using R more and more often in my work and I really like it. But, managing data is very different in R and S-Plus than in other packages that I am accustomed to. I know that it is an option to use different workspaces for different projects or to store all objects as source and read them

A while ago I asked about data management approaches in R. I was asked by several people to post a summary of the responses and alas I am just getting around to doing it. I received several comments, both on and off list. Below is a compilation of these responses. Hope this is as helpful to others as it was to me. Best, Brett 1. Frank Harrell recommended a section, "Operating in

I''m sorting a separate list that doesn''t contain a certain user''s attribute, but trying to but that certain user''s attribute on the separate percentile. test_scores = Testscore.find(:all, :conditions=> {...}) my_testscore = current_user.test_score my_ts = Testscore.new(:score => my_testscore) test_scores.push(ts) sorted_ts = test_scores.sort {|x,y|

Insightful has some nice docs available for download that are s-plus command line guides to statistics. There are two versions, one for S-plus 2000 and one for S-plus 6.0. With regard to syntax, is one a closer match to R than the other? Are they based on the same S engines? Does that matter? I know there will be differences in any case, I am just trying to decide wich version I want to

Dear List: My question is more statistical than R oriented (although it originates from my work with nlme). I know statistical questions are occasionally posted, so I hope my question is relevant to the list as I cannot turn up a solution anywhere else. I will frame it in the context of an R related issue. To illustrate the problem, consider student achievement test score data with multiple

Is this text publicized? I ran across it doing an internet search. I have never seen any reference to it and it is not on CRAN under documentation. http://www.stat.lsa.umich.edu/~faraway/book/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

A short function I wrote for the purpose of evaluating scales made up of a number of questionnaire items. It provides Cronbach's Alpha, both unstandardized and based on standardized items. It also provides item statistics which include item-total correlations (corrected) and item-removed alpha. Thought some of you might find it useful. I would also appreciate any programming tips or

This is the point, High-level OO languages don't use malloc(), they use something else. My idea was a C API with implementations of functions: For example Assuming I need to implement a function which allocates a new object. The API provides a really basic allocator function I can use to implement the complete function the high-level language needs. void *__newobject(int class_size) { void

I'm not talking about a new library instead of the libc, I'm talking about letting people create a library optimized for a specific frontend, regardless of the target. > On May 23, 2016, at 1:06 PM, David Chisnall <David.Chisnall at cl.cam.ac.uk> wrote: > >> On 23 May 2016, at 12:00, Lorenzo Laneve <lore97drk at icloud.com> wrote: >> >> This is the

On 23 May 2016, at 12:00, Lorenzo Laneve <lore97drk at icloud.com> wrote: > > This is the point, No, you are still failing to make a point. > High-level OO languages don't use malloc(), they use something else. That’s not entirely true. They need to get the memory that they provide to programs from somewhere. They may provide their own pool allocators, but they will often

Karl, If you use one of the specialized packages to calculate your ICC, make sure that you know what you're getting. (I haven't checked the packages out myself, so I don't know either.) You might want to read David Futrell's article in the May 1995 issue of Quality Progress where he describes six different ways to calculate ICCs from the same data set, all with different

HI Dave, My comment was based? on: " >The main question with this test was if the interaction term is significant (i.e. growth rate). However, my question is could I also look at the p-values of the main effects to ?>say if body mass increase significant with body mass?" Here, the result shown were from the summary of the linear model.?? We report the p-values of the main

My question relates to problems that I'm having matching lme and lmer examples in P&B. using Matix 0.995 In the Oxide example in p167-170 I can't get the level 2 coefficient estimates to match the fm1Oxide model in lme is data(Oxide,package="nlme") lme(Thickness~1,Oxide) which I translate in Lmer syntax to fm3Oxide<-lmer(Thickness~

Hi helpeRs, I've been working through some examples in Pinhiero & Bates( 2000) trying to understand how to translate to the new Lme4 syntax but without much luck. Below is what I think I should do, but either the answers don't come out the same or I get errors. In the Oxide problems I'm particularly interested in obtaining the levels coeficients but this options no longer seems

I need capabilities, for my data analysis, like the Pinheiro & Bates S-Plus/R package nlme() but with binomial family and logit link. I need multiple crossed, possibly interacting fixed effects (age cohort of twin when entered study, sex of twin, sampling method used to acquire twin pair, and twin zygosity), a couple of random effects other than the cluster variable, and the ability to

Zsmalloc stores first free object's position into first_page->freelist in each zspage. If we change it with object index from first_page instead of location, we could squeeze it into page->mapping because the number of bit we need to store offset is at most 11bit. Signed-off-by: Minchan Kim <minchan at kernel.org> --- mm/zsmalloc.c | 158

Zsmalloc stores first free object's position into first_page->freelist in each zspage. If we change it with object index from first_page instead of location, we could squeeze it into page->mapping because the number of bit we need to store offset is at most 11bit. Signed-off-by: Minchan Kim <minchan at kernel.org> --- mm/zsmalloc.c | 159

Folks I have modified an existing function to calculate 'ec/ld/lc' 50 values and their associated Fieller's confidence limits. It is based on EC50.calc (writtien by John Bailer) - but also borrows from the dose.p (MASS) function. My goal was to make the original EC50.calc function flexible with respect to 1) probability at which to calculate the expected dose, and 2) the link

Thanks to Brian Ripley for the time and effort put into developing the factanal package for R. I have found it very useful. However, in trying to replicate some results from previous research, I have run into the need for a couple of extensions and was wondering if they might find their way into future implementations. 1. Though maximum likelihood estimates might be more rigorous and

Hello, I'm having problems creating and using a selfStart model with nlme. Briefly, I've defined the model, a selfStart object, and then combined them to make a selfStart.default model. If I apply getInitial to the selfStart model, I get results. However, if I try usint it with nls or nlsList, these routines complain about a lack of initial conditions. If someone could point out