# I am working on creating some functions that will be capable of creating shapes and plots that look hand drawn. # I have made some progress in this goal. # In that process I have also discovered that I can make some doodles that look hand drawn as well. # In order to accomplish the goal of simulating hand drawing I want to simulate the momentum of hand writing. # In order to do that I will break the task down into a goal oriented system where each end point is a target. doodle <- function( start=c(0,0), targets = rbind(c(0,10),c(10,10), c(10,0), c(0,0)) , tdist = .25, speed = c(0,0), accel = .1, resis = .005, jitter = .0005, chncStp = 0) { # start - We start with the starting position # targ - Points that will be pursued (initially just a square) # tdist - How close we need to get to each point before moving on # speed - Initial speed # accel - How fast does the drawer accelerate towards that point # resis - What percentage of speed is lost each round # jitter - A normal draw random jitter that moves the writing tool in an unexpected direction. # chncStp - There is some chance that the drawing tool will kill all momentum and stop. # First off I define a function uvect to convert any two sets of points # into a unit vector and measure the distance between the two points. uvect <- function(p1,p2=NULL) { if (is.null(p2)) { p2 <- p1[[2]] p1 <- p1[[1]] } list(vect=(p2-p1)/sqrt(sum((p1-p2)^2)), dist=sqrt(sum((p1-p2)^2))) } # Starup parameters i <- 1 plist <- position <- start # plist saves all of the points that the drawing tool has passed through vect <- uvect(position,targets[i,]) while(i<=nrow(targets)) { # Calculate the appropriate unit vector and distance from end point vect <- uvect(position,targets[i,]) # Remove some amount of speed from previous velocity speed <- speed*(1-resis) # IF drawer randomly stops remove all speed if (rbinom(1,1,chncStp)) speed<-0 # speed <- speed + accel*vect[[1]] + rnorm(2)*jitter position <- position + speed plist <- rbind(plist,position) vect <- uvect(position,targets[i,]) if (vect[[2]]<tdist) i <- i+1 } plist } plist <- doodle() plot(plist, type="n", lwd=3) lcol <- rainbow(nrow(plist-1)) for (i in 1:(nrow(plist)-1)) lines(plist[c(i:(i+1)),], type="l", lwd=3, col=lcol[i])

# However this was not the primary intention of this function. # The main intention is to be able to make plots that look hand drawn. shape1 <- doodle(cbind(c(0,10,10,0),c(10,10,0,0)),resis=.25) plot(shape1, type="l", lwd=1)

# shape2 <- doodle(cbind(c(0,-2,5,15,10,0),c(5,9,10,5,2,0)),resis=.25) plot(shape2, type="l", lwd=1)

`# To tell you the truth. I don't know what is going on some I am going to have to debug this function for a while. In the mean time it is making unexpected shapes which look pretty crazy.`

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https://gist.github.com/EconometricsBySimulation/6296678

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