[R] table of means/medians across bins used for a histogram

[Gabor Grothendieck]

I assume you want to discretize one column and then for
each level produced, calculate the mean of another column
and plot those means against the levels.

Using the builtin iris data frame discretize Sepal.Width producing the
SWfac factor and calculate, SLmean, the mean Sepal.Length for each
level of that factor.  Then plot using custom x axis:

SWfac <- cut(iris$Sepal.Width, seq(2, 4.4, .5))
SLmean <- tapply(iris$Sepal.Length, SWfac, mean)

plot(SLmean, xaxt = "n")
axis(1, seq(SLmean), levels(SWfac))


On 5/1/06, lalitha viswanath <lalithaviswanath at yahoo.com> wrote:
> Hi
> I think I seem to have phrased my doubt incorrectly.
> I want a x-y plot of age v/s rate (the bin is
> irrelevant for this plot); only that instead of a
> simple x-y plot, i want a plot of average(rate) for
> each age-intervals.
>
> My ages vary from 0 to 0.7 and I want to divide them
> in groups of 0.02.
>
> So I want a plot of the following
> Age-intervals    Average rate in that interval
> 0-0.02                5
> 0.02-0.04             7
> 0.04-0.06             1
> 0.06-0.08             0
> 0.08-0.1              0.15
>
> Age-intervals mentioned along the x-axis (like for a
> histogram) and rates plotted for each age-interval
>
> --- Gabor Grothendieck <ggrothendieck at gmail.com>
> wrote:
>
> > Or perhaps a bit simpler:
> >
> > plot(age ~ ave(clock, bin), DF)
> >
> >
> > On 4/30/06, Gabor Grothendieck
> > <ggrothendieck at gmail.com> wrote:
> > > 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
> > > >
> > > > ______________________________________________
> > > > R-help at stat.math.ethz.ch mailing list
> > > > https://stat.ethz.ch/mailman/listinfo/r-help
> > > > PLEASE do read the posting guide!
> > http://www.R-project.org/posting-guide.html
> > > >
> > >
> >
>
>
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