dwinsemius at comcast.net
Tue Feb 7 00:18:57 CET 2012
On Feb 6, 2012, at 5:26 PM, Francis Keyes wrote:
> Hi David,
> I have 2 tables, each with several columns and rows of data. I am
> only interested in the data from column 6, which contains values in
> the range -PI to PI. I want to plot the data from tableD with the y
> axis denoting percentage with respect to tableR. So if data points in
> the break 2 - 3 appear half as often in tableD as in tableR, the y
> axis should show 50 percent. Does that make sense?
> I've been plotting the data like this to date:
> hist(tableD[,6],ylab="frequency", xlab="angle")
It all makes sense, (and it made sense before) , but your
responsibility is to provide data.
(Contrats on plain text lesson successfully met.)
> Thanks a lot for your help
> On Mon, Feb 6, 2012 at 1:31 PM, David Winsemius <dwinsemius at comcast.net
> > wrote:
>> On Feb 6, 2012, at 12:23 PM, Francis Keyes wrote:
>>> Thanks. How do you suggest I use the reference population?
>>> Sorry, I'm new to R and just don't see it. If i can get a plot
>>> that is counts or density relative to my reference data it would
>>> be ideal.
>> It is difficult to specify "how" when we have no "what". The "what"
>> is your responsibility, not ours. My thought was to use the ratio
>> of the results of hist() on the two populations which would then
>> be offered back to hist or barplot. ....which (of course) requires
>> that the 'breaks' be the same. Provide an example of your R
>> representations of the reference population and tested population
>> and all will become clear.
>> (And learn to post in plain text, please.)
>> David Winsemius, MD
>> West Hartford, CT
>>> On Mon, Feb 6, 2012 at 1:12 AM, David Winsemius <dwinsemius at comcast.net
>>> > wrote:
>>> On Feb 5, 2012, at 8:31 PM, Francis Keyes wrote:
>>> With R and the hist function, is there a way to make a histogram
>>> in which
>>> the y axis denotes propotion with respect to a separate sample
>>> dataset of
>>> the same range instead of frequency?
>>> hist() returns an object with both "counts" and "density". If you
>>> had a reference population it should be a fairly simple matter to
>>> use one or the other of those.
David Winsemius, MD
West Hartford, CT
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