Restaurant solution [🇷 for BE/BA]
Hi ElMaestro,
:
I like this package, there is even support for nested structures in latest version.
❝ When we look at treatment effect differences it does not matter how we define the effects by contrast coding. I don't absolutely need an LSMean; I can do with two model effects calcuated in any valid way as long as I can extract their difference.

library("lsmeans")
confint(pairs(lsmeans(M, "Trt"), reverse =TRUE), level=1-alpha*2)
I like this package, there is even support for nested structures in latest version.
—
Kind regards,
Mittyri
Kind regards,
Mittyri
Complete thread:
- confint() for difference of effect levels ElMaestro 2017-08-29 10:20 [🇷 for BE/BA]
- confint() for difference of effect levels d_labes 2017-08-29 12:23
- confint() for difference of effect levels ElMaestro 2017-08-29 14:45
- Homecooked solution? ElMaestro 2017-08-29 23:18
- Restaurant solutionmittyri 2017-08-30 08:11
- Great ElMaestro 2017-08-30 09:27
- Restaurant solutionmittyri 2017-08-30 08:11
- All-at-once or Two-at-a-time d_labes 2017-08-30 19:55
- Homecooked solution? ElMaestro 2017-08-29 23:18
- confint() for difference of effect levels ElMaestro 2017-08-29 14:45
- confint() for difference of effect levels d_labes 2017-08-29 12:23