Hello,
Just to add to the last post, you can try to get that p-value using what
that output gives you:
df1 <- 1
df2 <- 356
F_stat <- 10.948
pf(F_stat, df1, df2, lower.tail = FALSE) # same value
Hope this helps,
Rui Barradas
Em 21-06-2013 12:11, Rui Barradas escreveu:
Hello,
The Pr(>F) is a regular p-value, with the usual meaning.
Rui Barradas
Em 21-06-2013 11:05, pieter escreveu:
k.
Thanks.
Sorry i'm not the biggest statician, but I still find the output write
out not the clearest of all. Anyway, that is probably a personal
problem. :-)
Just one question. the Pr(>F) is just the regular p value, right? so
above the treshold means equal variance?
Thanks alot.
Pieter
On vr 21 jun 2013 11:56:06 CEST, Rui Barradas wrote:
Hello,
You need to know what is the Levene test, that output is as clear as
water. 75 + 283 == 358. Minus two groups gives 356.
See
http://en.wikipedia.org/wiki/Levene%27s_test
Hope this helps,
Rui Barradas
Em 21-06-2013 09:12, pieter escreveu:
Hey,
I don't really get the output of the performed Levene's test.
So in short.
two data sets, one with 75 elements, one with 283.
And I want to check whether they have the same variance.
I did a LeveneTest
And this is the output:
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 10.948 0.001033 **
356
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
So I would think that H0 is being rejected? for everything except
99.9%?
But what does the 356 mean?
Is this test performed correctly? group is a vector with 1's and 2's
appointing the two datasets...
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