This takes me back to listening to a professor lament about the researchers that
would spend years collecting their data, then negate all that effort because
they insist on using tools that are quick rather than correct.
So, before dismissing the use of pvals.fnc you might ask how long it takes to
run relative to how long it took to collect the data and the importance of the
answer. If you feel the need to compute p-values multiple times, then you may
need to rethink your approach (model selection based on repeated p-values
results in p-values that are meaningless at best).
If you consider the above and still feel the need for a quick p-value rather
than a correct one then you can use the
SnowsCorrectlySizedButOtherwiseUselessTestOfAnything function from the
TeachingDemos package. It is quick (but be sure to fully read the
documentation).
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of arunkumar1111
Sent: Thursday, December 22, 2011 9:13 PM
To: r-help at r-project.org
Subject: [R] p values in lmer
hi
How to get p-values for lmer funtion other than pvals.fnc(), since it takes
long time for execution
-----
Thanks in Advance
Arun
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