Joe,

I gather that data is 2 boxed lists. The first box contains the day number
and the second box contains a point in time between 0 and 24*60*60. The
latter indicate when a step was taken. Furthermore, both boxes are numbers`
in nondecreasing order. Right?

In place of your plot I am very tempted to break up the time points for
each day into counts of equal intervals kind of like histograms are created
and make a histogram/frequency distribution for each day, where the
histogram bins are really time slots. My reason for not liking the plots is
that the points are so close together in many regions that you cannot
detect any distinctions between the various days.

At http://jsoftware.com/help/dictionary/dicapdot.htm the histogram verb is
quite effective at this, but seems to be overkill because your data seem to
already be sorted.




On Tue, Oct 21, 2014 at 7:44 AM, Joe Bogner <[email protected]> wrote:

> I've been collecting accelerometer/pedometer data for the last week. I've
> posted a wiki article[1],
> http://www.jsoftware.com/jwiki/JoeBogner/AccelerometerAnalysis ,  that I'd
> like to expand, but I'm realizing it's beyond what I can easily do in J.
>
> I'm interested in any feedback on how you would approach the questions
> stated:
>
> 1.) How long do I sleep each night, when do I wake up?
> 2.) How active am I during the day -- what are my longest periods of
> sitting?
> 3.) Detect the most active periods in the day. I often go running or take
> 30 minute walks with the kids. Can we identify those times?
>
> Feel free to add any questions that you would find interesting if it was
> your data.
>
> Thank you for any feedback / contributions
>
> Joe
>
>
> [1] - http://www.jsoftware.com/jwiki/JoeBogner/AccelerometerAnalysis
> ----------------------------------------------------------------------
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>



-- 
(B=) <-----my sig
Brian Schott
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