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Discussions

Solve problems, and share tips and tricks with other JMP users.
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Jartun
Level I

Bi-plots with error bars for both axis

I would like to construct a bi-plot (double plot; two-way distribution), see example below. It would be a central point marking the mean for a given group, with error bars (standard deviation) for both parameters (both axis). I can't find a way to do this easily in jmp, and would appreciate some hints or suggestions. Thanks. Morten, Norway.

 

Jartun_0-1602488062056.png

 

3 REPLIES 3
ian_jmp
Level X

Re: Bi-plots with error bars for both axis

Please find attached a very old add-in (from 2006, actually). It's quite likely that there is a much better way now, but this might suffice.

Re: Bi-plots with error bars for both axis

Hi @Jartun ,

 

This can be done in Graph Builder in  JMP 15 (or JMP 14).

 

  • Start with a summarize table with these columns: group, mean for x variable, std. dev for x-axis, mean for y variable, std. dev. for y-axis.  I used Big Class.jmp and tabulate to make the summarized table and then converted to a JMP Data Table.

Tabulate.jpg

 

  • Drag  mean for x to x-axis (height) and mean for y to y-axis (weight)
  • Change the Error Interval (called Error Bars in JMP 14) to Two-way Interval

Capture.JPG

  • Drag Std. Dev. for x-axis to interval box/zone on right.
  • Drag Std. Dev. for y-axis to same interval box/zone but just to the right of the x-axis std. dev. (see below picture)

Capture.JPG

  • Add group to Color zone or use Rows>Color or Mark By Column menu function.  The final plot looks something like this:Graph Builder.jpg

Hope that is what you are looking for.

Best,

 

Chris Kirchberg, M.S.2
Data Scientist, Life Sciences - Global Technical Enablement
JMP Statistical Discovery, LLC. - Denver, CO
Tel: +1-919-531-9927 ▪ Mobile: +1-303-378-7419 ▪ E-mail: [email protected]
www.jmp.com

Re: Bi-plots with error bars for both axis

I am trying to generate a linear regression line with errors in both X and Y variables. I guess it requires the York fitting. Can you please suggest a way to do this in JMP Pro 16?

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