Analysis of means (ANOM) decision limits for log transformed data glitch [fit curve]

joemama985

Hello,

 

I am doing some fit curve work on log transformed mortality data using 2 parameter probit and am super confused as to why the upper and lower limits are the same value for this log transformed dataset when comparing using an ANOM:

 

 

When I run this on the same data untransformed I get appropriate limits for a comparison. is this a glitch or am I doing something wrong? 

 

Kind regards,

Joe

 

 

 

 

Mark_Bailey

It is possible that there is an error. I do not have your data so I cannot confirm your observation.

 

I used weight and height in Big Class data table to fit a Exponential 2P model for each age. I compared the estimates:

 

 

I applied the Log() function to the weight and repeated my analysis:

 

 

The transformation changed the scale and shape as expected. My simple trial does not seem to replicate the problem that you see.

 

Can you show us the same plot as below for the fits to your data using the original response and the transformed response?