> > The best encoding depends upon which language you would like to
manipulate
> > the variable in. In R, genders are most naturally represented as
factors.
> > That means that in an external data source (like a spreadsheet of
data),
> > you should ideally have the gender recorded as human-
richard.cot...@hsl.gov.uk writes:
> The best encoding depends upon which language you would like to manipulate
> the variable in. In R, genders are most naturally represented as factors.
> That means that in an external data source (like a spreadsheet of data),
> you should ideally have the g
>can anyone tell me why an encoding of 1/2 for a dummy variable for
>two groups (e.g. gender) seems to be preferred over 0/1?
>It's been bugging me for a while, 0/1 seems more natural, but I have
>been told (without explanation) that 1/2 is better. Why?
The best encoding depends up
Hi,
can anyone tell me why an encoding of 1/2 for a dummy variable for
two groups (e.g. gender) seems to be preferred over 0/1?
It's been bugging me for a while, 0/1 seems more natural, but I have
been told (without explanation) that 1/2 is better. Why?
--
aleblanc
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