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 box plots normalized to spec limits
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johnkim@us1

USA
2 Posts

Posted - 03/12/2001 :  6:12:41 PM  Show Profile  Edit Topic  Reply with Quote  View user's IP address  Delete Topic
Is there any way to take several populations and plot a trend chart using box plots (ptiles) but also to have each box plot normalized to the spec limits high and low?

John Kim

greg

USA
1380 Posts

Posted - 03/14/2001 :  10:21:48 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
A box chart is a statistical representation of your data. As such, you would not normalize a box chart, rather, you would normalize the original data and then create new box charts. If you need both, then you should just duplicate your original data and normalize the duplicates then create box charts of the normalized data.
(All of which could be automated through LabTalk.)

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johnkim@us1

USA
2 Posts

Posted - 03/14/2001 :  10:46:04 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
I guess when I said normalize, I meant visually scale (each box would need its own scaling parameter) so that we can easily see the statistical trend of many unrelated parameters on one chart.

John

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greg

USA
1380 Posts

Posted - 03/15/2001 :  09:46:54 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
If you need to scale box charts separately then you should first extract the individual box charts to separate layers. There is a tool on the Graph toolbar that does exactly this : "Extract to Layers". It will popup a dialog asking for number of rows and columns. Enter 1 Row and the number of columns equal to the number of box charts. Click OK to this and the next dialog.

Now open the script window and execute this script:

doc -e LW {
sum(%C);
y1=sum.min;y2=sum.max;
x1=.5;x2=1.5;
layer.y.rescale=1;
}

(Execute the script by selecting the text in the Script Window and pressing Enter.)

The script sets the Y axis scale for each box chart to the minimum and maximum values of the original dataset and sets the scale mode to 'manual'. If you have other requirements, review the STAT object or the percentile function in the LabTalk Manual.
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