ta: rep(rnorm(5), times = 4) and rep(1:5, each = 4)
> Bartlett's K-squared = 3.5599, df = 4, p-value = 0.4688
>
>
> > From: [EMAIL PROTECTED]
> > To: [EMAIL PROTECTED]; [EMAIL PROTECTED]
> > Date: Fri, 22 Aug 2008 11:25:36 -0400
> > Subject: RE: [R] T
,times=4), rep(1:5, each=4))
>
>
> Bartlett test of homogeneity of variances
>
>
> data: rep(rnorm(5), times = 4) and rep(1:5, each = 4)
> Bartlett's K-squared = 3.5599, df = 4, p-value = 0.4688
>
>
>> From: [EMAIL PROTECTED]
>> To: [EMAIL PROTECTE
neity of variances
data: rep(rnorm(5), times = 4) and rep(1:5, each = 4)
Bartlett's K-squared = 3.5599, df = 4, p-value = 0.4688
> From: [EMAIL PROTECTED]
> To: [EMAIL PROTECTED]; [EMAIL PROTECTED]
> Date: Fri, 22 Aug 2008 11:25:36 -0400
> Subject: RE: [R] Test of Homogeneity of Va
What are your hypotheses? Once you state what they are, interpretation should
be straightforward.
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Daren Tan
Sent: Friday, August 22, 2008 11:18 AM
To: [EMAIL PROTECTED]
Subject: [R] Test of Homogeneity
I am testing the homogeneity of variances via bartlett.test and fligner.test.
Using the following example, how should I interpret the p-value in order to
accept or reject the null hypothesis ?
set.seed(5)
x <- rnorm(20)
bartlett.test(x, rep(1:5, each=4))
Bartlett test of homogeneity o
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