Laboratory of Microbial Genomics and Big Data (강원대학교 미생물유전체빅데이터 연구실)

R: Statistics - Chi-Squared Distribution - by Eun Bae Kim (07/05/2018)
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par(mfrow=c(1, 2))
# A Curve for a Normal Distribution
curve(dnorm(x, 0, 1), xlim=c(-3, 3))

# A Curve for a Chisquare Distribution
curve(dchisq(x, df=5), xlim=c(0, 30))




# Different way for a Curve for a Chisquare Distribution
x=seq(0, 2000)/100
plot(x, dchisq(x, df=5), cex=0.3)

qchisq(0.95, df=5)
abline(v=qchisq(0.95, df=5), lty=2, col="red")

pchisq(11.0705, df=5)


x = seq(0, 3000)/100
plot(x, dchisq(x, df=5), cex=0.3, xlim=c(0, 30))
x = seq(0, 1000)/100
y = dchisq(x, df=5)
x = c(0, x, 10)
y = c(0, y, 0) 
polygon(x, y, col='skyblue', lty=2)
abline(v=10, lty=2, col="red")



Figure 1. R: Statistics - Chi-Squared Distribution


Figure 2. R: Statistics - Chi-Squared Distribution


Figure 3. R: Statistics - Chi-Squared Distribution


Kangwon National University