Don't know if I can explain this properly but I have two sets of data, I want to graph on the same plot. Each set is millivolts vs. temperature. The milllivolts is my Y axis, the temp my X. Problem is each data point is not taken at the same temp point for each set so when you plot them together the two plots don't sync. Can a secondary X axis be done and if so how as that would solve my problem. Or can I somehow set a temperature range on the x axis that both sets of data would be true too.
Thanks. Hope that wasn't too confusing
May be this link might help?
http://peltiertech.com/Excel/Charts/...OnTwoAxes.html
oldchippy
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Wasn't quite sure I understood your problem. What kind of chart are you using? I wonder if you are using a line chart where you want an XY scatter chart. XY scatter chart is the only kind of chart that treats X data as numeric. All other chart types treat x data as categories.
Hmmm I got the same problem
Its just that one of the values is non-cartesian. Rather its a two numbers ( a min value and a max value for one of the co-ordinates) but the other co-ordinate there its a fixed co-ordinate. For example (0.03-0.09, 0.23)
So at best it is a Scatter chart.. but one of the values is vertial line rather a point so you might see something like this
******************|
**************|***|
**************|***|
**************E***B
***|***************
***|***************
|**|***************
|**D**************
|***************
A*************
And the next part is calcuating the correlation of it..
EDIT: ok figured it out. Just add the minimum and max points as a seperate co-ordinate for the same series. Double click that series and click draw line. and dah!!!!
However if your one is even more complex.. then you would use bounding
Ok next up correlation??? Treat the two points per series seperately?.. or find the mean? or meduim of those two points?
Last edited by helpmeout; 02-22-2007 at 02:59 AM.
I suppose it depends on exactly what you are doing, and someone with a real statistical background might have a stronger opinion. When I've faced similar situations, I've done the correlation both ways and found that it made little difference (certainly not significant compared to the uncertainty in the raw data). At this point it became more a question of which approach is easier/cleaner to present and document rather than which is more "correct."Ok next up correlation??? Treat the two points per series seperately?.. or find the mean? or meduim of those two points?
In other cases, using both "end" points would cause that data point to, in essence, carry twice the weight of the other points. This could skew the correlation a little, which could be significant if there is a large uncertainty in the data or a limited number fo data points.
Last edited by MrShorty; 02-22-2007 at 12:58 PM.
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