I often use R to create graphs for my web applications which are normally developed in PHP. I use the PHP command "exec" to shell out to the R script, passing any parameters on the command line. The params are then available in R using the commandArgs function. How to get the data back is another problem, when creating graphs its no biggy, I just create the graph as a file (using bitmap(type='png254') as the output device since png() wont function without an X environment). For simpler numeric data I guess at the worst you could write that to a text file then parse that but there may be better ways.
On Fri, 2006-12-05 at 12:39 -0700, Shawn Mikula wrote: > Using R for this would be a bit bone-headed since it is not ideally suited > for web apps. Look at an active scripting language like PHP. I'm not sure > if Geocities provides for server-side active scripting languages, in which > case you will have to host your site elsewhere. > > > > ----- Original Message ----- > From: "percy tiglao" <[EMAIL PROTECTED]> > To: <[email protected]> > Sent: Friday, May 12, 2006 11:07 AM > Subject: [R] Newbie to R: would like to solve a problem > > > > Hello, I am very new to R (read the introduction a few hours ago), but > > experianced in several other languages (including Scheme, C, ObjC and > > C++, Java and Javascript) and I was wondering how to approach this > > problem: > > > > I am making a training calculator for a Video Game I play. Basically, > > I want to calculate the probability of killing an enemy within x hits, > > to help determine which is the best monster to train on in this game. > > > > The current implementation > > (http://geocities.com/dragontamer5788/maple2.html) uses the normal > > curve to estimate just about everything. Not necessarily a bad idea > > for when it takes 10 or 15 hits to destroy a single enemy, Central > > Limit Theorm kicks in and normal curve is probably a good idea, but my > > gut feeling is that it is not accurate for estimating kills in 1 or 2 > > shots (which happens in the majority of "training" monsters), or the > > probability of Knockback (which is always determined by a single > > shot). > > > > The (simplified) function to represent the damage would be: > > > > sdmg <- function(min, max, skill){ > > if(runif(1) > .4) (runif(1) * (max-min) + min) * skill > > else (runif(1) * (max-min) + min) * (skill+1) > > } > > > > total_damage <- function(min, max, skill, num_attacks){ > > total <- 0 > > for(i in 1:num_attacks){ > > total <- total + sdmg(min, max, skill) > > } > > total > > } > > > > -------------------- > > > > The above is how damage is calculated. So the probability distribution > > looks like 2 rectangles next to each other, one with height .6 and the > > other with height .4. Sdmg is a helper function, because some attacks > > attack 2 or 4 times in a single turn. > > > > Though, I dont want the simulation (what I'm doing with the runif > > here). I'd like to calculate the probability distribution of > > total_damage, total_damage + total damage (the convolution, > > representing 2 hits), and so on till about 5-8 hits (then I can just > > use normal curve in the web-calculator I'm making), then have a > > polynomial function estimate the probability distributions based on > > min, max, and skill. (So I can make my online calculator estimate the > > probability of killing enemies) > > > > Erm, I know it is a lot to ask for, but how would I go about making > > this in R? And if R isn't the right tool for this, is there any other > > tool you'd reccomend? Cause doing convolutions by hand sucks. > > > > Thanks a lot for reading this long message :) And thanks in advance > > for your help. > > > > ______________________________________________ > > [email protected] mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
