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Registerconfint() for difference of effect levels [🇷 for BE/BA]
Dear Öberster Größter Meister,
Have a look at package multcomp.
Or if you prefer using such beasts like "least square means" have a look at package lsmeans.
BTW: All-at-once is not the preferred method of a big regulatory body.
Pairwise lm objects (throwing away the data under those treatments not under consideration) will give you the opportunity to use
❝ let us say we have an lm object for a BE analysis in a study where we have n treatments.
❝ Is there a way to use confint() to derive CI's for the difference of the i'th and j'th treatments (where obviously i!=j, and i is within 1..n and j is within 1..n) ?
confint() gives you confidence intervals for the model parameters only.❝ If not, is there another built-in function that achieves this goal?
Have a look at package multcomp.
Or if you prefer using such beasts like "least square means" have a look at package lsmeans.
BTW: All-at-once is not the preferred method of a big regulatory body.
Pairwise lm objects (throwing away the data under those treatments not under consideration) will give you the opportunity to use
confint() to derive CI's.—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- confint() for difference of effect levels ElMaestro 2017-08-29 10:20 [🇷 for BE/BA]
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- confint() for difference of effect levelsd_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 solution mittyri 2017-08-30 08:11
- Great ElMaestro 2017-08-30 09:27
- Restaurant solution mittyri 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 levelsd_labes 2017-08-29 12:23
Ing. Helmut Schütz