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Demonstrates the chi-square distribution under the null for DFs 1 through 6
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# Demonstration of chi-square distribution from chi-square tests under the null | |
# By Nick Brown, February 2022. | |
# Licence: CC-0 | |
set.seed(2) | |
df.range <- 1:6 # range of DFs for which to generate plots | |
loops <- 10000 # number of cases to generate (more gives better precision) | |
N <- 5000 # range of numbers in tables | |
cst <- vector(mode="list", length=length(df.range)) | |
sizes <- (df.range * 2) + 2 | |
for (s in sizes) { | |
df <- (s / 2) - 1 | |
cst[[df]] <- rep(NA, loops) | |
for (l in 1:loops) { | |
res <- matrix(as.integer(runif(s) * N), ncol=2) | |
cst[[df]][l] <- chisq.test(res)$statistic | |
} | |
} | |
for (cs in 1:length(cst)) { | |
hist(cst[[cs]] | |
, main=paste0("Chi-square distribution, DF=", cs) | |
, xlab=paste0("Chi-square statistic with N=", N) | |
) | |
} |
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