similar to: Tukey test for Mixed Effects Model with more than 1 fixed effect?

I''m trying to do a In/Out thing... In my in_outs_controller.rb def edit_in_out @in_out = InOut.new @in_out.user_id = params[:id] @user = User.find_by_id(@in_out.user_id) if @in_out.save @user.update_attribute(:in_out, params[:user][:in_out]) flash[:notice] = ''In/Out was successfully updated.'' redirect_to :action =>

Hi, All,   My data collection is from 4 regions (a, b, c, d). Within each region, it has 2 or 3 units. Within each unit, it has measurement from about 25 sample site. I was trying to use lme function to discribe relationship between y and a few covariates. Both y and covariates were measured at the sample site level. My question is when I use exactlly the same model but choose different estimation

In my view code, I have <%= datetime_select "in_out", "time_in" %> which returns in params :in_out: !map:HashWithIndifferentAccess time_in(1i): "2006" time_in(2i): "6" time_in(3i): "12" time_in(4i): "20" time_in(5i): "24" and I want to save that datetime to a column in the db... if

this one really has me stumped... <%= user.in_out == "In" ? {image_tag url_for_file_column("personnel", "image", "thumb")} if user.image : user.in_out %> What I am wanting to do... if user.in_out == "In", load their thumbnail if it exists, load public/images/in.jpg if not, or else load public/images/out.jpg Can someone help with the

The ruby code in this isn''t evaluated... flash[:notice] = "Your last recorded entry was <%= @in_out.time_in %> <br />You are currently marked as ''In'', you probably want to check ''Out''" Is there a way? Craig

How do I combined these in and out wav files on the fly through asterisk to where I hear the whole conversation and only have one wav-file (i.e. : agent-1001-asterisk-478-1127389080-17-in_out.wav) agent-1001-asterisk-478-1127389080-17-in.wav agent-1001-asterisk-478-1127389080-17-out.wav __________________________________________________ Do You Yahoo!? Tired of spam? Yahoo! Mail has the best

I am having trouble both setting and connecting to rails pages and anchors. using a collection, I am trying to set the anchors like this... <a href="in_outs/list#name=<%= user_list_facility.list_value %>">\ <%= user_list_facility.list_value %></a> which does sort of work...the resulting source html is: <a href="name=15th Ave">15th Ave</a>

On Tue, Aug 15, 2017 at 4:14 PM, River Riddle via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Hey Graham, > I worked on pretty much this exact thing last year. I did something > similar to what you described, I traversed the CFG and built potentially > profitable regions from any given valid start node. At that point there > were several road blocks that prevented it

I am unsure what is being returned, and what is supposed to be returned, when using 'predict' with "type='expected'" for an aftreg survival model. The code below first generates a weibull model, then uses predict to create a vector of the linear predictors, then attempts to create the 'expected' vector, which is empty. The final two steps in the code generate a

I was wondering if somebody could explain why I get different results here: >treats[,2]<-as.factor(treats[,2]) >treats[,5]<-as.factor(treats[,5]) >treats[,4]<-as.factor(treats[,4]) #there are 'c' on more days than I have 'h2o2', where treats[,4] is the day. I only want 'c' that correspond to the same days that I have a 'h2o2' also.

Hi, I am trying to fit the following model: sr.reg.s4.nore <- survreg(Surv(age_sym4,sym4), as.factor(lifedxm), data=bip.surv) Where age_sym4 is the age that a subject develops clinical thought problems; sym4 is whether they develop clinical thoughts problems (0 or 1); and lifedxm is mother's diagnosis: BIPOLAR, MAJOR DEPRESSION, or CONTROL. I am interested in whether or not

Hi, I have searched the archives and can't quite confirm the answer to this. I appreciate your time... I have 4 treatments (fixed) and I would like to know if there is a significant difference in metal volume (metal) between the treatments. The experiment has 5 blocks (random) in each treatment and no block is repeated across treatments. Within each plot there are varying numbers of

Hello, I'm attempting to analyze a split-split plot model, currently using lmer. My design is similar to that used in Casella's Experimental Designs Ozone Example (example 5.7, p 197), but I have been unable to find any coding help for split-split plot models through searches of several textbooks and the R list serve. I have three treatments of interest (A,B,C), each with 2 treatment

Hi guys, I'm very new to R and have been teaching myself over the past few months - it's a great tool and I'm hoping to use it to analyse my PhD data.As I'm a bit of a newb, I'd really appreciate any feedback and/or guidance with regards to the following questions that relate to generalized linearmixed modelling (or, at least, I think they do!)(if there is a 'better',

Full_Name: Adrian Custer Version: 0.90.0 OS: Linux on Thinkpad (pentium) and desktop (K6) Submission from: (NULL) (128.32.251.234) When I create a boxplot, and then try to overlay a lowess fit or just the points, the points do not appear in the highest level and the lowess curve does not reach the highest level. However, if I add one to each of the models, the problem is solved. I tried this

R gurus: I'm trying to get another round of rconifers out and I need some advice/help crushing differences in the examples test. I'm trying to make sure the max sdi values are being respected. I've added a tests/rconifers-Ex.Rout.save (from windows i386-pc-mingw32) and when I ran R CMD check (both R-2.13.0), I got the following results: * using log directory

Hello folks, I have a big project to work on and the dataset is classified so I am just going to use my own example so everyone can understand what I am targeting. Let's take Target as an example: We consider three brands of tape: Target brand, 3M and Avery. The original data frame has 4 columns: Year of Record, Product_Name(which contains three brands of tape), Sales, and Region. I want to

Hi Jessica, Thanks for the feedback. I believe the existing partial inliner pass does use some common utilities like the code extractor to do outlining. Is that what you're referring to? I don't recall seeing any other passes that has outlining other than the machine outliner, but I may have missed something. I briefly looked at River's RFC and it seems he's mainly utilizing

Dear all, Does any one knows why should I get the following error message, when trying to do a simple data.frame?? DataF<-data.frame(Subject,BiomR,Spp,Capas,Litter,Herbs,LitterD,MaxCanH,DDifS p,DSSp,Slope, CanDens,NearestSp) Erro em data.frame(Subject, BiomR, Spp, Capas, Litter, Herbs, LitterD, : arguments imply differing number of rows: 202, 0 The data I am using

Hello, I need some results from the survival analysis of my data that I do not know whether exist in Survival Package or how to obtain if they do: 1. The Mean survival time 2. The standard error of the mean 3. Point and 95% Lower & Upper Confidence Intervals estimates Any help will be greatly appreciated. Cem [[alternative HTML version