... dang touchy keyboard!
> Here is some sample data:
> data = [0.10, 0.50, 0.60, 0.40, 0.39, 0.50, 1.00, 0.80, 0.60, 1.20,
> 1.10, 1.30, 1.40, 1.50, 1.05, 1.20, 0.90, 0.70, 0.80, 0.40, 0.45, 0.35,
> 0.10]
>
> In this data, some of the significant points include:
> data[0]
> data[2]
> data[4]
> da
"robert" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> erikcw wrote:
>> Hi all,
>>
>> I have a collection of ordered numerical data in a list. The numbers
>> when plotted on a line chart make a low-high-low-high-high-low (random)
>> pattern. I need an algorithm to extract the "si
erikcw wrote:
> Hi all,
>
> I have a collection of ordered numerical data in a list. The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points from this data.
>
> Here is some sample da
erikcw wrote:
> Hi all,
>
> I have a collection of ordered numerical data in a list. The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points from this data.
>
> Here is some sample d
"erikcw" <[EMAIL PROTECTED]> wrote:
> I have a collection of ordered numerical data in a list. The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points from this data.
I think you want
erikcw wrote:
> I have a collection of ordered numerical data in a list. The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points from this data.
>
...
>
> How do I sort through this
Hi all,
I have a collection of ordered numerical data in a list. The numbers
when plotted on a line chart make a low-high-low-high-high-low (random)
pattern. I need an algorithm to extract the "significant" high and low
points from this data.
Here is some sample data:
data = [0.10, 0.50, 0.60,
erikcw wrote:
> I have a collection of ordered numerical data in a list. The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points from this data.
In calculus, you identify high and low
erikcw wrote:
> Hi all,
>
> I have a collection of ordered numerical data in a list.
Called a "time series" in statistics.
> The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points fr
> Jeremy Sanders <[EMAIL PROTECTED]> writes:
>> How do I sort through this data and pull out these points of
>> significance?
> Get a book on statistics. One idea is as follows. If you expect the points
> to be centred around a single value, you can calculate the median or mean
> of the point
If the order doesn't matter, you can sort the data and remove x * 0.5 *
n where x is the proportion of numbers you want. If you have too many
similar values though, this falls down. I suggest you check out
quantiles in a good statistics book.
Alan.
Peter Otten wrote:
> erikcw wrote:
>
> > Hi all
erikcw <[EMAIL PROTECTED]> wrote:
> I have a collection of ordered numerical data in a list. The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points from this data.
I am not sure, what
"erikcw" wrote:
> I have a collection of ordered numerical data in a list. The numbers
> when plotted on a line chart make a low-high-low-high-high-low (random)
> pattern. I need an algorithm to extract the "significant" high and low
> points from this data.
>
> Here is some sample data:
> data
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