Created
April 6, 2014 14:59
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R script to analyze random data simulating a six sided die
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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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