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

R: Statistics - Normal/Poison Distribution, Random Sampling - by Eun Bae Kim (11/30/2018)
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# Plotting a Normal Distribution
par(mfrow = c(1, 3))
x=rnorm(100000, mean=0, sd=2);
d=hist(x, breaks=100, xlim=c(-10,10), ylim=c(0,5000));
x=-1000:1000; x=x/100;
lines(x, dnorm(x, mean=0, sd=2)*20000, col="red", lty=19, lwd=1.5)

plot(d$mids, d$density, type="h", ylim=c(0, 0.25), xlim=c(-10, 10))
lines(x, dnorm(x, mean=0, sd=2), col="red", lty=19, lwd=1.5)

plot(d$mids, d$density, type="p", ylim=c(0, 0.25), xlim=c(-10, 10), col="blue")
lines(x, dnorm(x, mean=0, sd=2), col="red", lty=19, lwd=1.5)



# Plotting a Poison Distribution
par(mfrow = c(1, 3))
x=rpois(100000, lambda = 4);
d=hist(x, breaks=100, xlim=c(0,15), ylim=c(0,25000));
x=0:50;
lines(x, dpois(x, lambda = 4)*100000, col="red", lty=19, lwd=1.5)

plot(d$mids, d$density, type="h", ylim=c(0, 1.2), xlim=c(0, 15))
lines(x, dpois(x, lambda = 4)*5, col="red", lty=19, lwd=1.5)

plot(x, dpois(x, lambda = 4), type="p", ylim=c(0, 0.25), xlim=c(0, 15), col="blue")
lines(x, dpois(x, lambda = 4), col="red", lty=19, lwd=1.5)


Figure 1. R: Statistics - Normal/Poison Distribution, Random Sampling


Figure 2. R: Statistics - Normal/Poison Distribution, Random Sampling


Kangwon National University