Borrar filtros
Borrar filtros

Adjusted values for plotting

1 visualización (últimos 30 días)
Sahil Bajaj
Sahil Bajaj el 17 de Jul. de 2018
Comentada: Jeff Miller el 18 de Jul. de 2018
Hi,
I have two variable X and Y. Correlation between these two is r = 0.2 at p = 0.51 (non-significant). If I include covariates age and sex then my partial correlation is 0.79 at p = 0.02 (significant). I am interested in reporting the partial correlation/p-value along with the linear plot. How can I calculate adjusted X and Y values i.e., after including the covariates so that I can plot the adjusted values which are giving me correlation is 0.79 at p = 0.02?
Thanks.
  1 comentario
Jeff Miller
Jeff Miller el 18 de Jul. de 2018
Rather than adjusting for sex, you might display separate X/Y plots for the males and females. This could be easier to understand than a plot of adjusted values, and it does control for sex by considering each sex in isolation. Harder to do with age, but you could perhaps break your sample into 3 age groups and make six plots with young, middle-aged, old X male/female. After all, you have the overall numerical summaries (e.g., .79, .02) and just need the plots so that people can visualize the relationships.

Iniciar sesión para comentar.

Respuestas (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by