>From what I can see the function does not give back this information
(either in the print output or the output object structure itself).

The thing is that I have never studied the statistic used for this test, so
I am not sure how it works and if giving the SS MS is meaningful or not.
But if you want to dig in, simply write in R the command:
oneway.test

The code that seems to be relevant is near the end:
    }
    else {
        m <- sum(w.i * m.i)/sum.w.i
        STATISTIC <- sum(w.i * (m.i - m)^2)/((k - 1) * (1 + 2 *
            (k - 2) * tmp))
        PARAMETER <- c(k - 1, 1/(3 * tmp))
        PVAL <- pf(STATISTIC, k - 1, 1/(3 * tmp), lower.tail = FALSE)
        METHOD <- paste(METHOD, "(not assuming equal variances)")
    }

So you could simply copy paste the full code of the function and edit it to
extract this information...







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On Tue, Apr 10, 2012 at 5:16 AM, lulumecindy <cindy852133@gmail.com> wrote:

> Hello everyone:
>                            I'm a new member of this group.
>                            I have a question about "oneway.test".
>                            When I use "anova(lm(....))" to analysis the
> ANOVA,
>                            I can get the information about Sum Sq  and Mean
> Sq.
>                            (The R code and the results are as follows.)
>
>  > anova(lm(BackCalac~factor(Assay),data=Control))
> Analysis of Variance Table
> Response: BackCalac
>                      Df  Sum Sq Mean Sq F value    Pr(>F)
> factor(Assay)  4 270.846  67.711  56.219 1.345e-10 ***
> Residuals     20  24.088   1.204
>
>                            But it default the variances are the same.
>                            If the variances aren't equal. I need to use the
> "oneway.test" method.
>                            Because oneway.test has the option about
> "var.equal=F".
>                            Here, I have a question about "oneway.test",
>                            How can I get "SS", and "MS" information from
> "oneway.test"?
>                            My R code and the results are as follows.
>                            Thank you very much.  :)
>
> > oneway.test(BackCalac~factor(Assay), var.equal=T,data=Control)
>        One-way analysis of means
> data:  BackCalac and factor(Assay)
> F = 56.2191, num df = 4, denom df = 20, p-value = 1.345e-10
> > oneway.test(BackCalac~factor(Assay), var.equal=F,data=Control)
>        One-way analysis of means (not assuming equal variances)
> data:  BackCalac and factor(Assay)
> F = 92.8834, num df = 4.000, denom df = 9.625, p-value = 1.165e-07
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/How-to-get-the-SS-and-MS-from-oneway-test-tp4544417p4544417.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>

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