My gut feeling is that stacked dotplots would have given you the same
insight. In general terms it's about getting the right tool for the
right job. My comment was about the order of choosing rather than
ignoring totally. If I recall correctly the article about dot plots was
about old fashioned
Things have moved on since the ASH work too, but I would agree that
density estimation is often a better way than histograms. However, close
to state-of-the-art density estimation is built into R (?density) and
packages `polspline', `KernSmooth' and `sm' are also much more advanced
than `ash'.
Fantastic. You're right, I was looking for seq().
However, my plan for using it for hist() was foiled!
I thought if I did something like:
b - seq(0,500,10)
hist(myvble,breaks=b)
It would bin myvble into the bins 0-50,50-100,100-150 etc and in that way I could
ensure that two histograms
On Thu, 3 Jul 2003, michael watson (IAH-C) wrote:
Fantastic. You're right, I was looking for seq().
However, my plan for using it for hist() was foiled!
I thought if I did something like:
b - seq(0,500,10)
hist(myvble,breaks=b)
It would bin myvble into the bins
On Thu, 3 Jul 2003 14:48:04 +0100 , michael watson (IAH-C)
[EMAIL PROTECTED] wrote :
Now this makes sense of course, my bins probably DON'T span the entire range of X.
SO I am still left with the same problem:
1) two variables
2) I want to draw histograms of both
3) I want them to have the
One of my discoveries while learning the art of R, is that time has
moved on since I did my basic statistics in school (although to my
dismay the teaching of statistics in school appears also to have not
noticed the movement.) I have seen a few references when people want to
pie chart something,
