On Mon, Jan 17, 2011 at 10:37:42PM +0000, Monica Pisica wrote:
>
> Hi,
>
> I've got 2 very good solutions, thank you very much. One, from Henrique
> Dallazuanna using the library reshape and one line of code - although it will
> take me quite some time to understand it. Here it is what he sent:
>
> library(reshape)
> xtabs(rowSums(cbind(value.x, value.y), na.rm = TRUE) ~ X1 + X2,
> merge(melt(m1), melt(m2), by = c('X1', 'X2'), all = TRUE), exclude = FALSE)
>
>
> The other is from Phil Spector ( code below) that i can understand quite
> easily, although until now to my shame i never quite used factor levels and
> their properties and i don't know their uses and possibilities. Until now i
> tried to avoid them and transform them in something else (like character
> strings).
Let me add a comment on factors.
Character vectors are easier to manipulate and factors carry additional
information. A balance between their uses depends on the application. A possible
strategy is to use character vectors, when the sequence of categorical data
should be manipulated, and convert to a factor, when needed. There is an R Wiki
page with some tips concerning factors at
http://rwiki.sciviews.org/doku.php?id=tips:data-factors:factors
Petr Savicky.
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