Dear UseRs,
Could someone explain to me why the default behaviour of rank() is to assign the
largest rank to missing data
rank(c(3, 1, NA))
[1] 2 1 3
as opposed to what I would hazard would be the expected 2, 1, NA?
Despite consistency being the hobgoblin of little minds, of two
closely
Dear R-help readers,
In R 1.8.1 it was easy to print the documentation for recommended packages: go
to the full reference manual (refman.pdf) and print the relevant pages, which
were contiguous. With R 1.9.0 some of those packages (e.g. ts) have become
part of the stats package, and hence their
dear list,
i am having trouble coloring the bars in a barplot. my data have two
groups, which i would like to plot side by side. within each group i
want to sort the observations in decreasing order, like a pareto
chart. the bar colors would relfect the value of a third variable.
below i have
Quoting Paul Murrell [EMAIL PROTECTED]:
I haven't figured out exactly what your code is supposed to produce, but
I suspect that you are calculating colv incorrectly. In your example,
you get a colv with 5 elements. There are a total of 10 bars plotted
(some are zero height because the
