Message-ID: <26456379.post@talk.nabble.com>
Date: 2009-11-21T13:03:05Z
From: bbslover
Subject: p.value OR F.value?
Hi?all friends,
Please help me understand this sentence below:
?From this set, 858 columns not significantly correlated with the
response variable TBG at the 5% level were removed, leaving a set of 390
columns.? and ? the F-test's value for the one-parameter correlation with
the descriptor is below 1.0? is equal?? I want to perform this above
sentence with R, how can I do? I just try it below. but I do not know right
or wrong?
about the above sentence, my idea is like this p.value<0.5, and i write a
code to perform it below:
xmat4<-xmat3[,apply(xmat3,2,function(.col)!all(var.test(.col,y)$p.value<0.05))]
, is right? does the above sentence refer to p.value or F.value? I do not
know, please help me! And how can I get the F.value?
About this sentence "A further 367 columns with variance below 1.0
kcal/mol were removed as recommended,16 leaving 23 columns."
my code below:
xmat3<-xmat2[,apply(xmat2,2,function(.col)!all(var(.col)<1))], can I change
the var to sd? I have tried it. They have the same result, generally
speaking? which one will be used to see the variation of the data?
Thank you!
kevin
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