table of means/medians across bins used for a histogram

My understanding is that you want to replace each rate with its average
over the associated bin and then plot age against that.  In that
case try this:

DF  # test data

   age rate bin
1 0.002 10.0   A
2 0.045  0.1   B
3 0.130 15.0   A
4 0.150 34.0   D

with(DF, plot(ave(rate, bin), age))

Assuming they
are stored in vectors
the columns are age, rate, bin we would have

plot(ave(clock, bin), age)

On 4/30/06, lalitha viswanath <lalithaviswanath at yahoo.com> wrote:

Hi
I am trying to get a table of means of parameter 1
across BINS of parameter 2.

I am working in proteomics and a sample of my data is
as follows

cluster-age clock-rate(evolutionary rate) scopclass
0.002       10                              A
0.045       0.1                             B
0.13        15                              A
0.15        34                              D
....
....
....
....

Scop class has only 9 distinct categories (A-I)
Whereas cluster-age and clock-rate are discrete
variables greater than 0.

I am trying to do two things with this kind of data,
out of which I managed to accomplish one thanks to the
documentation and pre-existing queries on the mailing
lists.
1. Plot a histogram of the age distribution with scop
class category superimposed on each bin. I managed to
do this with barplot2.
2. Now I am trying to plot a scatter plot of the age
v/s the clock-rate. However to eliminate possible
sampling errors, we are trying to get an average of
the clock-rate for each of the bins used above.
i.e. before plotting a x-y plot, i wish to compute
average clock-rate in each of the bins for the age and
then plot a x-y plot of the age v/s clock rate.

Can anyone point me to appropriate functions for the
same?
I am trying to work with prop.table, cut, break, etc.
But I am not heading anywhere.

Thanks
Lalitha