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- # Analyze dice data to establish if it is random
- setwd("~/Development/hardware-rng/avr-hardware-random-number-generation/Entropy/examples/Dice")
- library(foreign)
- library(prettyR)
- sink("analysis.prn")
- Dice.data <- read.csv("dice.txt")
- Dice.data$Sum <- Dice.data$Die1 + Dice.data$Die2
- png(filename="cumulative.png", width=800, height=600)
- hist(Dice.data$Sum,
- freq=FALSE,
- breaks=c(1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5,12.5),
- main="Distribution of Dice rolls",
- xlab="Combined value",
- ylab="Probability",
- ylim=c(0.00,0.20))
- dev.off()
- Dice.data.freq <- freq(Dice.data, display.na=FALSE,decr.order=FALSE)
- Dice.data.freq <-as.data.frame(Dice.data.freq["Sum"])
- print(Dice.data.freq)
- events <- sum(Dice.data.freq$Sum)
- print(chisq.test(Dice.data.freq$Sum, p=c(0.0278,0.0556,0.0833,0.1111,0.1389,0.1666,0.1389,0.1111,0.0833,0.0556,0.0278)))
- Independent.Rolls <- c(Dice.data$Die1,Dice.data$Die2)
- png(filename="independent.png",width=800,height=600)
- hist(Independent.Rolls,
- freq=FALSE,
- breaks=c(0.5,1.5,2.5,3.5,4.5,5.5,6.5),
- main="Distribution of Dice rolls",
- xlab="Independent values",
- ylab="Probability",
- ylim=c(0.00,0.20))
- dev.off()
- Independent.Rolls.freq <- freq(Independent.Rolls, display.na=FALSE,decr.order=FALSE)
- Independent.Rolls.freq <- as.data.frame(Independent.Rolls.freq["Independent.Rolls"])
- print(Independent.Rolls.freq)
- print(chisq.test(Independent.Rolls.freq))
- sink()
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