Jim - you are right, I should have looked before. So there is a
difference that should also effect the dropping of unused levels.
Thanks,
Heinz
At 15:31 08.04.2009, jim holtman wrote:
It is just a simple version of 'factor'. The only speed advantage it
might have is that it checks to see if
It is just a simple version of 'factor'. The only speed advantage it
might have is that it checks to see if it is a factor first. Here is
the definition:
)> as.factor
function (x)
if (is.factor(x)) x else factor(x)
You can always list out what the function does to get a better
understanding of
Thank you, Jim. I see, the fact that in the documentation you find only
"as.factor(x)" means that it does not accept more arguments.
Does as.factor have speed advantages over factor, or is there a
different cause for it's existence?
Heinz
At 13:50 08.04.2009, jim holtman wrote:
as.factor do
as.factor does not accept levels as an argument. use the first form
that you have
factor(ch1, levels=ch1)
On Wed, Apr 8, 2009 at 7:36 AM, Heinz Tuechler wrote:
> Dear All,
>
> to my surprise as.factor does not accept a levels argument. Maybe I did not
> read the documentation well enough. See
Dear All,
to my surprise as.factor does not accept a levels argument. Maybe I
did not read the documentation well enough. See the example below. I
wanted to use ch1 as factor in the newdata argument of survfit, so I
assumed that I could write as.factor(ch1, levels=ch1), since the
order should
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