[R] R: one bananna aov() question

[Prof Brian D Ripley]

On Fri, 31 Mar 2000, Pete Hurd wrote:

> I'm trying to do an
> anova on data in data.set, dependent variable is a column
> named "dep.var", grouping variable is in a column called "indep.var", and
> is.factor(indep.var) is TRUE...
> why can't I just do aov(dep.var ~ indep.var, data = data.set)?
> 
> What have I done to deserve this?!  What gives?  Am I missing something
> totlly obvious?  

I think so. In your example it is not obvious what is a factor. I get

resids.dat <- read.table("resids") # from output as given
aov(aggr.resid ~ factor(indiv.code), data = resids.dat)
> summary(.Last.value)
                    Df Sum Sq Mean Sq F value    Pr(>F)
factor(indiv.code)  25 401.24   16.05  6.5163 4.763e-14
Residuals          150 369.45    2.46                  

In aov(y ~ x) you should expect x to be a factor and y to be continuous.
I think you have made y (aggr.resid) into a factor. That you tried
both ways round suggests you are a little confused, and

> aov(factor(aggr.resid) ~ factor(indiv.code), data = resids.dat) 

does give the messages you quoted.

> R-base-1.0.0-1, linux RH 6.1.

Could you just tell us the version of R?  Who packaged it as an RPM is
not so relevant.

> 
> ---------------------------------------------------------------------
> 
> > aov(aggr.resid ~ indiv.code, data = resids.dat)
> Error in lm.fit(x, y, offset = offset) : NA/NaN/Inf in foreign function
> call (arg 4)
> In addition: Warning message: 
> "-" not meaningful for factors in: Ops.factor(y, offset) 
> > aov(indiv.code ~ aggr.resid, data = resids.dat)
> Error in lm.fit(x, y, offset = offset) : NA/NaN/Inf in foreign function
> call (arg 4)
> In addition: Warning message: 
> "-" not meaningful for factors in: Ops.factor(y, offset) 

[ ... listing of data ]

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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