[R] What is the most useful way to detect nonlinearity in lo

[(Ted Harding)]

On 05-Dec-04 Ted Harding wrote:
> [...]
> For example, adopting the ritual "sigificant == P<0.05,
> power = 80%", you can see a histogram of the p-values
> over the conventional "significance breaks" with
> 
> hist(pvals,breaks=c(0,0.01,0.03,0.1,0.5,0.9,0.95,0.99,1),freq=TRUE)

Sorry for the typo! That should of course (if you were looking
closely) have been

hist(pvals,breaks=c(0,0.01,0.05,0.1,0.5,0.9,0.95,0.99,1),freq=TRUE)

Apologies to anyone who was misled by pasting in the bad version.

> and you can see your probability of getting a "significant" result
> as e.g. sum(pvals < 0.05)/1000
> [...]

Best wishes to all,
Ted.


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Date: 05-Dec-04                                       Time: 13:54:11
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