Lin's Correspondence coefficient (r)Hello,
I am trying to recreate an analysis that used Lin's Correspondence coefficient (r). The data are ordinal, not continuous. I cannot find this analysis in JMP, are there any other suggestions.
More specifically, I have two variables and needing to see how they relate based on three different treatments. Simple regression is not suitable here since X and Y are not related. What is the appropriate analysis to do with this data? See JMP graph below.
Thanks,
Natalie
macOSMass CustomizationRe: Lin's Correspondence coefficient (r)Try Analyze > Fit Y by X. It should launch the Bivariate platform when X and Y are continuous. Click the red triangle at the top and select Fit Orthogonal > Univariate Variances. You will see a report like this:
See JMP Help for more information about the report.
Re: Lin's Correspondence coefficient (r)A script illustrates how the CCC is calculated and added to the Bivariate report layer. Note that line 3 would be omitted, and the resulting script would be run after the real data table is opened. The X role is for the standard method and the Y role is for the test method.
Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Method Comparison.jmp" );
dialog = New Window( "Launch Bivariate",
<<MODAL></MODAL>
See NCSS source.
Re: Lin's Correspondence coefficient (r)Thank you!
Is the first solution Lin's correspondence analysis or is it called something else? If I use the first solution, the univariate analysis, I want to be able to describe what I did in the methods correctly. Do you have any examples of the use of this analysis?
Thanks again!
Re: Lin's Correspondence coefficient (r)No. I confirmed that it is Pearson's correlation coefficient. I am not sure which analysis you refer to in your last reply. Can you repeat the question with specific references to the analysis about which you want to know?
