R: A random walk though OOP land.
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If you are used to object oriented programing in a different language, the way R does things can seem a little strange and backwards. “proto” to the rescue. With this library you can simulate “normal” OOP. I found the examples for proto not so helpful, so to figure out how the package works I sent one lonely red ant on a drunken walk. Here’s my code:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | library("proto")
# Everybody likes ants
ant <- proto(
# Default values for the class variables
xPos = 0,
yPos = 0,
name = character(),
)
# What do ants do? They move
ant$move <-function(.,xDisp=0, yDisp=0) {
.$xPos = .$xPos + xDisp
.$yPos = .$yPos + yDisp
}
# See the little red ant move
ant$plot <- function(.) {
points(.$xPos, .$yPos, pch=20, col="red")
}
# Instantiate the class.
myAnt = ant
myAnt$name = "George"
plot(myAnt$xPos, myAnt$yPos, xlim=c(-10,10), ylim=c(-10,10), pch=20, col="red")
for(i in 1:40) {
# The ant is drunk on Kool Aid
myAnt$move(rnorm(1),rnorm(1))
# The ant is lazy and will rest for a moment
Sys.sleep(.5)
# Plot the new location
ant$plot()
}
cat("The ant named", myAnt$name, "is now located at (", myAnt$xPos, myAnt$yPos, ")\n") |
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