Exact p-values in lm() - rounding problem
On 12.02.2013 13:37, Torvon wrote:
I need to report exact p-values in my dissertation. Looking at my lm() results of many regressions with huge datasets I have the feeling that p-values are rounded to the smallest value of "2e-16", because this p-value is very common. Is that true or just chance? If it is true, how do I obtain the "true" unrounded p-values for these regressors? m1 <- lm(y ~ x1+x2+x3+4+x5, data=D)
coef(summary(m1))[,4] Anyway, you should not believe that smaller values are still accurate. Always worry about the numerics when looking at tiny differences. Best, Uwe Ligges
Thank you Torvon [[alternative HTML version deleted]]
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