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hummel
2007 Nov 07
1
(no subject)
...uences and calculate the correlation coefficient:
> x <- runif(20)
> y <- jitter(x, amount = 0.7)
> cor(x, y)
[1] 0.5198252
now i want to establish that confidence i can attach to this value. from the table i retrieved from the article "Understanding Correlation" by r. j. rummel [online] i get that the probability of a correlation coefficient of 0.5198252 arising by chance from two sequences of length 20 is less than 0.01. so this seems like i can attach some significance to the result. i still don't understand where the table comes from and it only goes up as far as s...