aov define F values computation

Posted by essopapas on Stack Overflow See other posts from Stack Overflow or by essopapas
Published on 2010-03-16T13:01:22Z Indexed on 2010/03/16 15:21 UTC
Read the original article Hit count: 136

Filed under:

anova

Greetings to all

This is my model: aov.fit<-aov(Y~A+B+C+D+E+A:C+A:E, data=dat)

In summary(aov.fit) all F values are comptuted by eg MS(A)/MS(Residuals). This is not correct (or what I want), except for F(B) and F(A:E). I suppose P values are not correct either.

Can I specify how the F computations will be done? I 'd like them to be like this: F(A)=MS(A)/MS(E), F(C)=MS(C)/MS(E), F(D)=MS(D)/MS(E), F(E)=MS(E)/MS(A:E), F(A:C)=MS(A:C)/MS(A:E)

thanks

Related posts about anova

Homoscedascity test for Two-Way ANOVA

as seen on Stack Overflow - Search for 'Stack Overflow'
I've been using var.test and bartlett.test to check basic ANOVA assumptions, among others, homoscedascity (homogeniety, equality of variances). Procedure is quite simple for One-Way ANOVA: bartlett.test(x ~ g) # where x is numeric, and g is a factor var.test(x ~ g) But, for 2x2 tables, i.e. Two-Way… >>> More
ANOVA with 3 fixed factors in R

as seen on Stack Overflow - Search for 'Stack Overflow'
Im trying to run a model with a response variable p and 3 fixed factors to get ANOVA. this is how my code looks like : #run it as 3 fixed factor model p1=c(37,38,37,41,41,40,41,42,41) p2=c(42,41,43,42,42,42,43,42,43) p3=c(30,31,31,31,31,31,29,30,28) p4=c(42,43,42,43,43,43,42,42,42) p5=c(28,30… >>> More
Power Analysis in [R] for Two-Way Anova

as seen on Stack Overflow - Search for 'Stack Overflow'
I am trying to calculate the necessary sample size for a 2x2 factorial design. I have two questions. 1) I am using the package pwr and the one way anova function to calculate the necessary sample size using the following code pwr.anova.test(k = , n = , f = , sig.level = , power = ) However,… >>> More
2-way anova on unbalanced dataset

as seen on Stack Overflow - Search for 'Stack Overflow'
Is aov appropriate for unbalanced datasets. According to help ...provides a wrapper to lm for fitting linear models to balanced or unbalanced experimental designs. But later on it says aov is designed for balanced designs, and the results can be hard to interpret without balance. How should I perform… >>> More
R: including model specifications in xtable(anova(...))

as seen on Stack Overflow - Search for 'Stack Overflow'
Hello R comrades: I have a bunch of loglinear models, which, for our purposes will just be glm() objects called mx, my, mz. I want to get a nicely-formatted xtable of the analysis of deviance, so naturally I would want to perform xtable(anova(mx, my, mz, test = "Chisq")). The vanilla output of… >>> More

Developer IT

aov define F values computation - Developer IT

aov define F values computation

anova

Related posts about anova

Homoscedascity test for Two-Way ANOVA

ANOVA with 3 fixed factors in R

Power Analysis in [R] for Two-Way Anova

2-way anova on unbalanced dataset

R: including model specifications in xtable(anova(...))

Categories cloud