Trying to create a binary logistic regression that accounts for repeated measures

[#1]

I am trying to create a logistic regression with a Yes/No response for a continuous variable. I followed the "Fit Y by X" menu on JMP to get the attached graph, but I am confused on why data points are falling between "0" and "1". There were only two possible categories. I would also like to make this logistic regression account for repeated measures since there were many independent replicates for some individuals. 

[#2]

Hi @rhammock ,

have a look at the 2nd example here.

please let us know if it helps

[#3]

If I'm understanding correctly, I need to run my data through the generalized mixed model to account for the repeated measures and then do the logistic regression? My situation in more detail - I have a different number of independent replicates for different individuals. "avg_red_sta" is the same for an individual regardless of how many times its been used in an independent replicate, but "land?" can vary between replicates. I want to make sure that each individual has an equal weight in the distribution. I have a column in my data with a corresponding value to each "avg_red_sta" value. 

[#4]

More to the point of your question, try this from a few years back: Logistic Plot interpretation of points.  I still find the graph confusing, but coloring the points does help.

[#5]

I'm a little confused on concept of jitter. I understand that JMP uses it to avoid clumps of points at "0" and "1" for a logistic curve, but it is not random? Every time I re-run the "Fit Y by X" the spread is the same. Any help in understanding that would be appreciated, otherwise I get why JMP does logistic regressions like this. 

Also, I'm having trouble finding the "coloring by Status" option

Thank you for the reply!

[#6]

The y ordinate is random, but the platform uses the same seed for the random generator. Users complained about the changing position of the markers when they ran the Logistic platform again.

[#7]

Under the red arrow above Rows in the data table, color or mark by column - Status.