similar to: Event listeners

Hi! Your plugin is really great! Thanks. One more little question. Is it possible to add event listeners to the maps via your plugin? greetings /till -------------- next part -------------- An HTML attachment was scrubbed... URL: http://rubyforge.org/pipermail/ym4r-user/attachments/20061106/6b1c6f4f/attachment.html

Hi all, I''m using Ym4r with the Clusterer. The GMaps code in my controller looks something like this: # geo is an array of lon/lat points session[:gmap] = GMap.new(''map_div'') session[:gmap].control_init(:large_map => true,:map_type => true) session[:gmap].center_zoom_init([38.134557,-95.537109],4) markers = Array.new

sorry.. I paid a little bit more attention to your reply.. especially using Firebug extension... (so helpful...) and I got it (maybe not so good writing.. @map.declare_init(@marker1, ''marker1'') @map.overlay_init(@marker1) @map.record_init "GEvent.addListener(marker1, ''dragend'', function () { point = marker1.getPoint();

Hello R-users! I have a style question. I know that for loops are somewhat frowned upon in R, and I was trying to figure out a nice way to do something without using loops, but figured that i could get it done quickly using them. I am now looking to see what kind of tricks I can use to make this code a bit more aesthetically appealing to other R users (and learn something about R along the

I''d like to add an event listener for dragging markers, but it looks like YM4R GM (and Mapstraction) doesn''t support this. I need an init like: marker = new GMarker(... GEvent.addListener(marker, "dragend", function() { }) but the current setup makes "anonymous" markers - never creates variable that can be used to access them. Has anyone thought about

Dear all, I would like to know if it is possible to fit in R a Cox ph model with time-dependent covariates and to account for hierarchical effects at the same time. Additionally, I'd like also to know if it would be possible to perform any feature selection on this model fit. I have a data set that is composed by multiple marker measurements (and hundreds of covariates) at different time

Dear R users The following question looks simple but I have spend alot of time to solve it. I would highly appeciate your help. I have following dataset from family dataset : Here we have individuals and their two parents and their marker scores (marker1, marker2,....and so on). 0 means that their parent information not available. Individual Parent1 Parent2 mark1 mark2 1 0 0

Dear list   I have 5 markers that can be used to detect an infection in combination. Could you please advise me how to use functions in ROCR/ other package to produce the ROC curve for a combination of markers?   I have used the following to get ROC statistics for each marker. pred <- prediction(y$marker1, y$infectn) perf <-performance(pred,"tpr","fpr")