I second to Bert's opinion, factors can be confusing, but they have quite nice
features which can not be easily mimicked by plain character vectors. I find
extremelly usefull possibility of manipulating its levels.
> fac<-factor(sample(letters[1:5], 20, replace=TRUE))
> fac
[1] e e d d e e c e a e a e b b d e c c d b
Levels: a b c d e
> levels(fac)[2:4]<- "new.level"
> fac
[1] e e new.level new.level e e new.level
[8] e a e a e new.level new.level
[15] new.level e new.level new.level new.level new.level
Levels: a new.level e
>
Regards
Petr
________________________________________
Odesílate: r-help-boun...@r-project.org [r-help-boun...@r-project.org] za
uživatele Bert Gunter [gunter.ber...@gene.com]
Odesláno: 17. srpna 2012 19:32
To: r-help@r-project.org
Předmět: [R] Opinion: Why I find factors convenient to use
Folks:
Over the years, many people -- including some who I would consider
real expeRts -- have criticized factors and advocated the use
(sometimes exclusively) of character vectors instead. I would just
like to point out that, for me, factors provide one feature that I
find to be very convenient: ordering of levels. **
As an example, suppose one has a character vector of labels "small,"
medium", and "large". Then most R functions (e.g. tapply()) will
display results involving this vector in alphabetical order, which I
think most would view as undesirable. By converting to a factor with
levels in the logical order, displays will automatically be "logical."
For example:
> x <- sample(c("small","medium","large"),12,rep=TRUE)
> table(x)
x
large medium small
2 3 7
> y <- factor(x,lev=c("small","medium","large")) ##ordered() also would do, but
> is not necessary for this
> table(y)
y
small medium large
7 3 2
Naturally, this is just my opinion, and I understand why lots of smart
people find factors irritating (at least!). So contrary opinions
cheerily welcomed. But perhaps these comments might be helpful to
those who have been "bitten" by factors or just wonder what all the
fuss is about.
** Another advantage is reduced storage space, I believe. Please
correct if wrong.
Cheers,
Bert
--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
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