search for: bicycles

Hi, I read section 5, oop, of the R lang doc, and I am still not sure I understand how to build a class in R for oop. I thought that since I understand the oop syntex of Java and VB, I am wondering if the R programmig experts could help me out by comparing and contrasting the oop syntex in R with that of Java. For example, the basic class structure in Java is like this: public class Bicycle {

I think this is obvious. but for some reason I''m not getting it. Models: Bicycles, Accessories Join Model: Upgrades The idea is that you can upgrade your bike by adding an accessory, and the upgrade price is often less than the accessory price would normally be. So the Upgrades table has id, bicycle_id, accessory_id, and price. class Bicycle has_many :upgrades has_many :...

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I''m trying to dynamically create an instance of an object at runtime, from a String. I have a method that returns one of a number of Strings ("Car", "Motorcycle", "Bicycle"), and when I receive the String, I then want to instantiate one of those objects. Seems like there should be a way to do it in Ruby, but maybe I''ve been up too long --

...looking for help but I couldn't locate the exact solution. I have data that has several variables. I want to do several sample simulations using only two of the variables (eg: say you have data between people and properties owned. You only want to check how many in the samples will come up with bicycles) to estimate probabilities and that sort of thing. Now, I can only do a simulation in terms of this code: sample(1:10, size = 15, replace = TRUE). I do not know how select specific variables only. I'll appreciate the help -- View this message in context: http://r.789695.n4.nabble.com/Simulat...

Hi guys, In next three years I'm going to get the scientific degree in System programming. That's why I'm looking for the interesting and actual theme not like a new bicycle with square rings. My degree work in university was connected with value range propagation (VRP) functionality in clang static analyzer based on AST. I founded it rather interesting and want to follow this

R users, I have df like this a <- data.frame( indx = 1:20, var1 = rep(c("I20", "I40", "A50", "B60"), each=5), var1_lab= rep(c("cat", "dog", "mouse", "horse"), each=5), var2 = rep(c("B20", "X40", "D50",

On Tue, 16 Jun 2020 at 15:06, Joerg Sonnenberger via llvm-dev <llvm-dev at lists.llvm.org> wrote: > I also see little evidence that it would fix the problem of someone > having too much time on their hand and wants to be a nuisance. AFAICS, this is not the problem. The nicks are clearly randomly generated by smashing words together and the content seems to be what comes out of a

...or poor OpenCL performance) and another for OpenCL. I am interested in using LLVM to create a OpenCL frontend for multicore CPUs. Now that the spec is out, we have a pattern to follow. Does anyone have any interest in this? Timothy -- Two wrights don't make a rong, they make an airplane. Or bicycles.

Hi Guys, I checked the open projects on LLVM site, and superoptimizer theme seems to be quite interesting for me. So im going to write the LLVM superoptimizer (http://theory.stanford.edu/~aiken/publications/papers/asplos06.pdf) :) Is this theme still actual? Could you please advise me some usefull articles? -- Best regards, Sergey 2012/5/26 Serg Anohovsky <serg.anohovsky at gmail.com>: >

Hi, long time ago, I came up with an optimal configuration set for my environment - good detection and little false positives. Unfortunately some people are always being detected as Answering Machines. I'm not up to re-adjust my precious balance of initial_silence/max_words/... , so I'm thinking about to check if the pickup time is equal to the pickup time when the same phone number was

I am wrestling with the following in creating a barplot in R: I have a data set with 18 entries. It is plotted in a bargraph. The x-axis should have 18 tick marks each with its own label. What happens is, only a few labels are shown; there is not enough space for all labels. The tick marks are concentrated on the left side of the axis. I'd like to have all labels shown, in vertical direction.

Dear All I have just setup IMAP with Maildir, but unfortunately some clients create their own folders instead of using those specified in 15-mailboxes.conf . What could be the reason? Here's what it looks like: > B list "" * > * LIST (\HasNoChildren \Sent) "." "Sent Messages" > * LIST (\HasNoChildren) "." Gesendet > * LIST (\HasNoChildren)

Hi, At first I have to admit that I'm quite new to R and need some basic information. Although I searched the internet and this forum where I found answers to really sophisticated questions, I couldn't find the answer to my really simple one - or I didn't understand it for English is not my mothertongue. I'm using Rpad to simulate a webserver on my PC. Further I've got an

Good m/d/n guys, wanted to put idea through you before trying to implement this. So afaik LVM snapshots basically don't take any "real" space on hard drives. I'm using KVM virtualization on my hosts and let's say i create an LVM volume for my linux VM, then install it properly, shut it down and take LVM snapshot of it. Basically i've just cloned it (LVM2 snapshots are

/*author:csf178-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org*/ function Class(Initalizer,SuperClasses) { if(!SuperClasses)SuperClasses=[]; var ret=function(){ for(var i=0;i<SuperClasses.length;i++) { SuperClasses[i].call(this); } var $private={}; var $public=this; var $static=ret; with($static){ with($private){ with($public){

R users, My intention is to take factors out of DF, create list of tables and export these tables separately using write.table or sink function. write.table writes tables out as DF:s, should I use sink instead? Here is my example: a <- data.frame( indx = 1:20, var1 = rep(c("I20", "I40", "A50", "B60"), each=5),