You might want to experiment with:
ql <- cut( fam$I[fam$I>0], breaks = quantile( fam$I[fam$I>0],
type=1) , right=FALSE)
levels(ql) <- c("1stQ","2ndQ","3rdQ","4thQ")
ql
cut() returns a factor. If you accept the default for the right
parameter in cut, you will be pulling your hair out when dealig with a
discrete variable.
On Jun 17, 2009, at 6:24 PM, Germán Bonilla wrote:
Hi all,
I've got a simple contingency table produced with table(), and the
upper and
lower quartiles (quantile25 and quantile75) for the same dataset.
Is there a function that tells me in which category does the value
of the
quartile falls into?
I cannot quite parse this sentence. See if the example gives a
meaningful result with your data, and read the help pages for quantile.
for example:
tabsp <- table(fam$I[fam$I>0])
1 3 6
6 1 1
and for the cumulative frequency distribution
tabcum <- cumsum(tabsp)
1 3 6
6 7 8
so, If my lower quartile is "2", I can visually determine that it
falls into
class/category "1" with 6 observations. Is there a function that
performs
this determination?
Thanks.
Germán Bonilla
I. Ecol. UNAM
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