Unleashed in the market in 1972, Pong is one of the first computer games ever developed. Loosely inspired by tennis, Pong captured the worldwide gaming market soon after its launch. Instantaneously, it became a trending fad. Gaming enthusiasts became intrigued, they desired to delve deeper into the computer coding and system mechanisms mostly to understand the essence of arcade game development.
Today, R-Programming is extensively used to develop numerous board games. But the question to ponder on is – can we create traditional arcade games with R programming?
Well, of course we can! In this blog, we have recreated a 1980s arcade game but with R. The code written below simulates the historic game of Pong.
The code applied here is based on Wacko’s Boing Program taken from the 1983 book Dr. C. Wacko’s Miracle Guide to Designing and Programming your own Atari Computer Arcade Games. This book is marvellous! By clearly explaining how to write computer games using Atari Basic, the book is fun to read. It has a humorous tone, and the readers devour it.
The R code is well commented and seems to have a mind of its own! However, please note, the animation is a bit gawky, when it’s run in RStudio. For better animation, try to run it in native R Terminal.
Now, let’s take a step closer to coding R-Cade game:
Video source – r-bloggers.com
# Sound library library(beepr) # Game parameters skill <- 0.87 # Skill (0-1) score <- 0 high.score <- 0 # Define playing field par(mar = rep(1,4), bg = "black") plot.new() plot.window(xlim = c(0, 30), ylim = c(0, 30)) lines(c(1, 30, 30, 1), c(0, 0, 30, 30), type = "l", lwd = 5, col = "white") # Playing field boundaries (depend on cex) xmin <- 0.5 xmax <- 29.4 ymin <- 0.5 ymax <- 29.4 # initial position x <- sample(5:25, 1) y <- sample(5:25, 1) points(x, y, pch = 15, col = "white", cex = 2) # Paddle control psize <- 4 ypaddle <- y # Set direction dx <- runif(1, .5, 1) dy <- runif(1, .5, 1) # Game play while (x > xmin - 1) { sound <- 0 # Silence Sys.sleep(.05) # Pause screen. Reduce to increase speed points(x, y, pch = 15, col = "black", cex = 2) # Erase ball # Move ball x <- x + dx y <- y + dy # Collision detection if (x > xmax) { dx <- -dx * runif(1, .9, 1.1) # Bounce if (x > xmin) x <- xmax # Boundary sound <- 10 # Set sound } if (y < ymin | y > ymax) { if (y < ymin) y <- ymin if (y > ymax) y <- ymax dy <- -dy * runif(1, .9, 1.1) sound <- 10 } # Caught by paddle? if (x < xmin & (y > ypaddle - (psize / 2)) & y < ypaddle + (psize / 2)) { if (x < xmin) x <- xmin dx <- -dx * runif(1, .9, 1.1) sound <- 2 score <- score + 1 } # Draw ball points(x, y, pch = 15, col = "white", cex = 2) if (sound !=0) beep(sound) # Move paddle if (runif(1, 0, 1) < skill) ypaddle <- ypaddle + dy # Imperfect follow # Draw paddle # Erase back line lines(c(0, 0), c(0, 30), type = "l", lwd = 8, col = "black") # Keep paddle inside window if (ypaddle < (psize / 2)) ypaddle <- (psize / 2) if (ypaddle > 30 - (psize / 2)) ypaddle <- 30 - (psize / 2) # Draw paddle lines(c(0, 0), c(ypaddle - (psize / 2), ypaddle + (psize / 2)), type = "l", lwd = 8, col = "white") } beep(8) text(15,15, "GAME OVER", cex=5, col = "white") s <- ifelse(score == 1, "", "s") text(15,5, paste0(score, " Point", s), cex=3, col = "white")
Aspiring to become a data scientist? DexLab Analytics, a leading R programming training institute takes pride in offering a bouquet of R programming courses in Gurgaon. Log on to peruse through our intensive courses!
This post originally appeared on – www.r-bloggers.com/r-cade-games-simulating-the-legendary-game-of-pong
This post originally appeared on – blogs.sas.com/content/iml/2017/05/15/intck-intnx-intervals-sas.html
Interested in a career in Data Analyst?
To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.
Learn R Programming, R programming certification, R Programming Training, R Programming Tutorial
Comments are closed here.