James Allsopp wrote:
No, that's made no difference, sorry.
Sorry I forgot to check the print method for rcorr. If P<.0001 it prints
as 0. To print under your control print the object $P from the list
created by rcorr:
r <- rcorr(. . .)
r$P
Frank
Frank E Harrell Jr wrote:
James Allsopp wrote:
Hi,
I've just run an rcorr on some data in Spearman's mode and it's just
produced the following values;
[,1] [,2]
[1,] 1.00 -0.55
[2,] -0.55 1.00
n= 46
P
[,1] [,2]
[1,] 0
[2,] 0
I presume this means the p-value is lower than 0.00005, but is there any
way of increasing the number of significant figures used? How should I
interpret this value?
Cheers
Jim
Try options(digits=15) before running rcorr().
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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