Displaying 2 results from an estimated 2 matches for "1vs2".
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1vs
2010 Jan 25
3
binary
Hi all
Assume I have a data set xx;
Group: 1=group1 ?, 2=group2
IQ: ?1= High, 0 =low
fit <- glm(IQ ~group, data = xx, family = binomial())
summary(fit)
Results
?????? ????????????Estimate Std. Error z value Pr(>|z|)
(Intercept) -2.55456??? 0.210 -12.273? < 5e-16 ***
group????????? 0.36180 ?????0.076?? 3.952 ????5.24e-05 ***
the odd ratio = exp(0.36180 )= 1.435912
My question
2012 Aug 01
3
repeating a function across a data frame
...and
#sample y, respectively
distance<-sqrt(sum((x-y).^2))
distanceCorrected<-distance/sqrt(length(x))#to force the maximum possible
value to =1
print(distanceCorrected)
}
The next thing I want to do is to make this function run to compare all
possible combinations of my samples (1vs1, 1vs2, 1vs3...2vs1, 2vs2 etc). In
python, the only other programming language I have ever used, I would just
use a "for" loop. I have asked the internet how to do this, but the
overwhelming response seems to be "you don't want to do it like that - use
the 'apply' functions&qu...