It is not nearly as complicated as Dennis Murphy makes out.
Just do
aov(y ~ ., data=X)
where X is your data frame with one column (the response) name ``y''
and then any number of other columns which will then form the
predictors (which may be either numeric predictors or factors).
cheers,
Rolf Turner
On 09/06/11 16:14, Dennis Murphy wrote:
Hi:
You can try something like this: assuming the factor variables of
interest and the response variable are in a data frame named df,
ivset<- c(<comma separated vector of factor names>)
myaovs<- lapply(ivset, function(x) {
form<- as.formula(substitute(yvar ~ foo, list(foo = as.name(x))))
aov(form, data = df)
} )
This should generate a list of aov objects, one per factor in ivset.
> From there, R has functions to extract pieces of output as needed.
Since no example data was presented, the above is untested, so caveat emptor.
HTH,
Dennis
On Wed, Jun 8, 2011 at 3:25 PM, mandakaye<mandak...@gmail.com> wrote:
I'd like to conduct one-way ANOVA's on multiple IV's. Is there a function for
"aov (y~"all of my IV's")? Thank you!
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