When using proc glm or proc mixed with lsmeans statement, is there a way to obtain standard deviation (SD) for each lsmean values instead of standard erro (SE)?
Technically, given SE, I am able to calculate SD. But for whatever the reason, I am getting identical SE for all lsmean values for all of the groups being compared, use of SE would result in identical SD for all groups, which does not make sense. (Based on the raw data, I know that different groups have different standard deviation.)
Is there a way to properly obtain SD for lsmean values? If yes, please explain how. If no, why not??