Re: [R] How to get the SS and MS from oneway.test?

2012-04-10 Thread lulumecindy
OK!
Thank you for your generous help.
I'll try to change the code by myself.

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[R] How to get the SS and MS from oneway.test?

2012-04-09 Thread lulumecindy
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 valuePr(>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


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Re: [R] Help with ANOVA in R

2012-03-08 Thread lulumecindy
Hello everyone:
I'm a new member of this group.
Following the question(2) of Amit Patel-7,
I know "oneway.test" has the option of
"var.equal=F".
Maybe it's can be the answer of this question!
But, I have a question about "oneway.test",
How can I get "SS", and "MS" information from
"oneway.test"?
R code and the results are as follows. 
Thank you very much.  :)

> anova(lm(BackCalac~factor(Assay),data=Control))
Analysis of Variance Table

Response: BackCalac
  Df  Sum Sq Mean Sq F valuePr(>F)
factor(Assay)  4 270.846  67.711  56.219 1.345e-10 ***
Residuals 20  24.088   1.204  

> 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


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