Ref. vs. Ref. in partial replicate design [RSABE / ABEL]
Dear d_labes,
In matrix form we have y=Xb+e; the LSMeans can be extracted from the b-vector if we fit without an intercept. If we fit the model with an intercept, which is standard in BE when we work on the models, then the b-vector corresponds to the LSMeans offset by the intercept. The difference between the two types of fits will apart from the b-vector issue be reflected in the ANOVA p-value but the residual or amount of explained variation remains the same.
So I just suggested the model without intercept in order to have an easy way to get the LSMeans in R; if you use SAS (I don't!) I guess you'll get them anyway without much further ado.
Sorry if I caused confusion. I am just a lowlife R-user.
❝ Can you eventually explain your idea a little bit more elaborate?
❝ What is the intention to not fit an intercept?
In matrix form we have y=Xb+e; the LSMeans can be extracted from the b-vector if we fit without an intercept. If we fit the model with an intercept, which is standard in BE when we work on the models, then the b-vector corresponds to the LSMeans offset by the intercept. The difference between the two types of fits will apart from the b-vector issue be reflected in the ANOVA p-value but the residual or amount of explained variation remains the same.
So I just suggested the model without intercept in order to have an easy way to get the LSMeans in R; if you use SAS (I don't!) I guess you'll get them anyway without much further ado.
Sorry if I caused confusion. I am just a lowlife R-user.
—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- Ref. vs. Ref. in partial replicate design d_labes 2012-04-25 15:52
- Ref. vs. Ref. in partial replicate design again d_labes 2012-10-10 10:56
- Ref. vs. Ref. in partial replicate design ElMaestro 2012-10-10 12:39
- Ref. vs. Ref. in partial replicate design d_labes 2012-10-10 16:26
- Ref. vs. Ref. in partial replicate designElMaestro 2012-10-10 17:16
- R vs. R in partial replicate design d_labes 2012-10-11 09:43
- R1 vs R2 ElMaestro 2012-10-11 10:26
- R1 vs R2 d_labes 2012-10-11 12:01
- R1 vs R2 ElMaestro 2012-10-11 12:09
- R1 vs R2 d_labes 2012-10-11 12:46
- treatment df ElMaestro 2012-10-11 13:38
- Missunderstanding d_labes 2012-10-11 16:34
- Missunderstanding, crippled ElMaestro 2012-10-11 18:12
- EMA crippled method - R peculiarities d_labes 2012-10-12 14:54
- All is good, just forget ANOVA - you don't need it! ElMaestro 2012-10-12 16:25
- Just forget ANOVA. What next? d_labes 2012-10-15 08:35
- Just forget ANOVA. What next? ElMaestro 2012-10-15 10:04
- Just forget ANOVA. What next? d_labes 2012-10-15 08:35
- All is good, just forget ANOVA - you don't need it! ElMaestro 2012-10-12 16:25
- EMA crippled method - R peculiarities d_labes 2012-10-12 14:54
- Missunderstanding, crippled ElMaestro 2012-10-11 18:12
- Missunderstanding d_labes 2012-10-11 16:34
- treatment df ElMaestro 2012-10-11 13:38
- R1 vs R2 d_labes 2012-10-11 12:46
- R1 vs R2 ElMaestro 2012-10-11 12:09
- R1 vs R2 d_labes 2012-10-11 12:01
- R1 vs R2 ElMaestro 2012-10-11 10:26
- R vs. R in partial replicate design d_labes 2012-10-11 09:43
- Ref. vs. Ref. in partial replicate designElMaestro 2012-10-10 17:16
- Ref. vs. Ref. in partial replicate design d_labes 2012-10-10 16:26