search for: observably

I have a plotting function that is plots a multi-panel plot, with the x-axis as a date and various y-axes. I would like to control the frequency of the X-axis labels, ticks and grid lines. However with the following code I get no annotation on the X-axis at all. Here is a minimal data.frame Case Days Well Stream Value 1 Observed 0 P-1 Oil 1000.807785 2 Observed 31

Dear List: I have a data manipulation problem that I was unable to solve in R. I did it in SQL, and it may be that the solution in R is to do it in SQL, but I wondered if people could imagine a vector-based solution. Imagine a list A[i] of observers who observe some set of events B[j]. Each observer i may observe one or more events, and each event j may have been observed by one or more

Hello all! I''m having an issue with Observers, and I''m hoping someone knows the answer. Here is the definition: app/models/vehicle_observer.rb > class VehicleObserver < ActiveRecord::Observer > def after_save(vehicle) > breakpoint > if vehicle.has_new_mil_indication? > UserMailer.deliver_mil_notice(vehicle) > end > end > end

Help please. I''m trying to observe a User class, but I can''t get this to work, the after_create method never gets called... (the breakpoint never gets called) app/models/user_observer.rb: class UserObserver < ActiveRecord::Observer def after_create(user) breakpoint setting =

Hi RUsers, I am wonder if I can search observations whose IDs matches any of the values in another vector, such as in MySQL. While I am learing MySQL for future database management, I appreciate if anyone could give me a hint. Suppose I have one 5*1 vector containing observation IDs and frequencies, and one 3*1 vector containing observation IDs. observation<-c(1,2,3,4,5) ID<-c(1,3,4)

Dear All, I would like to apply two different "for loops" to each set of four columns of a matrix (the loops here are simplifications of the actual loops I will be running which involve multiple if/else statements). I don't know how to "alternate" between the loops depending on which column is "running through the loop" at the time. ## Set up matrix J <- 10 N

Hello I''m using the ''act_as_authenticated'' plugin to implement a small and simple authentication system in my app. Everything is working just fine and the world is a better place to live in. The plugin creates a ActiveRecord observer in order to send the newly registered user a confirmation e-mail. Per the API docs [1], one should declare the observer in the

Hello, I`m try to make the attended transfer work Dlink DG-104S via FLASH, when somebody calls my phone I pickup and press flash to get a second line to call another extension. When I press flash I hear no dialtone, and only a long and then small beep. When I try to dial digits I hear again those long+short beeps, but the extension dialed is not ringing. If I pres flash again I get back to

Hello,   I would like to do a meta-analysis with the package « metafor ». Ideally I would like to use a mixed model because I’m interested to see the effect of some moderators. But the data set I managed to collect from literature presents two limits.   -         Firstly, for each observation, I have means for a treatment and for a control, but I don’t always have corresponding standard

Hi all, I have a problem with an observer. I have a simple observer... class ActivityObserver < ActiveRecord::Observer observe Customer def after_create(model) bind_params(model) @al.action = "create" @al.save logger "#{model.id} : created" end private def bind_params(model) @al = ActivityLog.new @al.user_id = User.current.id

Dear R users, I have got two samples: sample A with observation of 223: sample A has five categories: 1,2,3,4,5 (I use the numer 1,2,3,4,5 to define the five differen categories) there are 5 observations in category 1; 81 observations in category 2;110 observations in category 3; 27 observations in category 4; 0 observations in category 5; To present the sample in R: a<-rep(1:5,

Hi, I''m developing a Rails app which uses dynamic forms. To implement these, I''ve used AJAX and Rails''s built-in form observers. Unfortunately, I''m having a problem. This is how the form starts: * Country select box [OBSERVED] (Republic of Ireland selected) * County select box [OBSERVED] (none selected, list of Republic of Irish counties in the drop down)

Hello, everyone I wonder if there is in R somewhere a function similar to cumsum(). The function calculates a statistic (say mean or standard deviation) buy adding consequtively one more data point. So, say I have a timeseries of 100 observations. I start by calculating mean of first 30 observations Then I add one observation and calculate mean of 31 observations Then I add one more observation

Hi, in following of a recent discussion I got to work on MGCP with the Cisco ATA186 again, and got it to work very nicely. However, there is a little thing with transfers I would like to get comments on: Call comes in from PSTN and goes to an ATA186 (MGCP) Call is answered and then, using flash, transferred to another extension If the extension is available, there can be an announcement and

the study design of the data I have to analyse is simple. There is 1 control group (CTRL) and 2 different treatment groups (TREAT_1 and TREAT_2). The data also includes 2 covariates COV1 and COV2. I have been asked to check if there is a linear or quadratic treatment effect in the data. I created a dummy data set to explain my situation: df1 <- data.frame( Observation =

I''ve seen two ways of connecting observers: 1) In the observer class put observe MyModel 2) In the controller class put observer :my_observer What is the difference between these two? Also, is it necessary to put in the observer class the following? MyObserver.instance Jose -- Posted via http://www.ruby-forum.com/.

Hello group, my question is deciding what test would be appropriate for following question. An experiment 'A' yielded 3200 observations of which 431 are significant. Similarly, using same method, another experiment 'B' on a different population yielded 2541 observations of which 260 are significant. There are 180 observations that are common between significant observations of A

Hi everyone, I would like to ask a question regarding to the data used to fit the mixed model. I wonder that, for the response variable data used to fit the mixed model (either via "spm" or "lme"), we must have several observations per subject (i.e. Yij, i = 1,..,M, j = 1,.., ni) or it can be just one observation per subject (i.e. Yi, i = 1,...,M). Since we have to

I have a pretty complex form with many text fields and a number of selects. We let the user add multiple types of associated objects to the parent object and to edit the values for those associated objs, so the form can have something like the following number of fields on the page: 9 text fields + 3 selects + a*(1 text + 1 select) + b*(1 text + 1 select) + c*(1 text + 1 select) + d*(1 text +

In the Rails Recipes book the recipe "Keeping track of who did what" explains how to do decoupled observing of models. In my application I''d like to do a similar thing but watching the controllers. For example, when somebody hits the login method of the Security controller, I''d like to make a note of it. In this case I could observe the User model and watch for