On Sun, 13 Aug 2000, AJ wrote:
> I'm having trouble in choosing the right method to analyse a large
> dataset. I have N data, consisting of measured responses fn(t) all of
> the same length T.
This sounds as though you have a N-by-T data matrix: N cases or
observations (as rows in the matri
here are a few urls related to bar charts ... and histograms
not saying that they are all correct ... but makes for interesting reading
bar charts
http://www.glenbrook.k12.il.us/gbssci/phys/Class/energy/u5l2c.html
http://members.aol.com/Trane64/java/BarChart.html
http://futures.tradingcharts.c
i would say that the harper collins dictionary of mathematics is wrong
i think most would say that a bar chart has a baseline that is not a
quantitative scale ... and, the order in which the bars are listed is
essentially arbitrary
At 11:43 PM 8/12/00 +, Alexander Bogomolny wrote:
>The Harper
but bob ... just like some don't answer their phone WHEN they are at home
... one could set this up SO as to NOT get messages for a bit ... even
though they definitely ARE home ..
i would be careful of this plan
At 11:52 PM 8/12/00 -0400, Bob Hayden wrote:
>I just sent out a posting and immediat
Hi
I'm having trouble in choosing the right method to analyse a large dataset.
I have N data, consisting of measured responses fn(t) all of the same length
T. Each fn(t) can be considered to have one part, fsame(t), that is the same
throughout the dataset and another that is varying, fn_different
On Sat, 12 Aug 2000, Bob Hayden wrote, inter alia:
> The disagreement among the sources here made me really wonder about
> the accuracy of such sources.
Indeed.
> Perhaps they are only meant to give a layperson a rough idea, and are
> not meant to be pre
