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fan1
2004 Jul 07
1
Histograms, density, and relative frequencies
...ines (one for each class). Using my rather rough code, I
created a plot that seems to adhere to the commonly used (although from
what I can understand wrong) relative frequency histogram approach.
My rough code looks like this:
bk <- c(0, .05, .1, .15, .2, .25,.3, .35, 1)
par(mfrow=c(1, 1))
fawn1 <- hist(MFAWNRESID[regs1], plot=F, breaks=bk)
fawn2 <- hist(MFAWNRESID[regs2], plot=F, breaks=bk)
count1 <- fawn1$counts/sum(fawn1$counts)
count2 <- fawn2$counts/sum(fawn2$counts)
b <- c(0, .05, .1, .15, .2, .25, .3, .35)
plot(count1~b,xaxt="n", xlim=c(0, .5), ylim=c(0, .40...