Convert to and from emmGrid objects

These are useful utility functions for creating a compact version of an emmGrid object that may be saved and later reconstructed, or for converting old ref.grid or lsmobj objects into emmGrid objects.

Usage

# S3 method for class 'emmGrid'
as.list(x, model.info.slot = FALSE, ...)

as.emm_list(object, ...)

as.emmGrid(object, ...)

Arguments

x

An emmGrid object

model.info.slot

Logical value: Include the model.info slot? Set this to TRUE if you want to preserve the original call and information needed by the submodel option. If FALSE, only the nesting information (if any) is saved

...

In as.emmGrid, additional arguments passed to update.emmGrid before returning the object. This argument is ignored in as.list.emmGrid

object

Object to be converted to class emmGrid. It may be a list returned by as.list.emmGrid, or a ref.grid or lsmobj object created by emmeans's predecessor, the lsmeans package. An error is thrown if object cannot be converted.

Value

as.list.emmGrid returns an object of class list.

as.emm_list returns an object of class emm_list.

as.emmGrid returns an object of class emmGrid. However, in fact, both as.emmGrid and as.emm_list check for an attribute in object to decide whether to return an emmGrid or emm_list) object.

Details

An emmGrid object is an S4 object, and as such cannot be saved in a text format or saved without a lot of overhead. By using as.list, the essential parts of the object are converted to a list format that can be easily and compactly saved for use, say, in another session or by another user. Providing this list as the arguments for emmobj allows the user to restore a working emmGrid object.

See also

emmobj

Examples

pigs.lm <- lm(log(conc) ~ source + factor(percent), data = pigs)
pigs.sav <- as.list(ref_grid(pigs.lm))

pigs.anew <- as.emmGrid(pigs.sav)
emmeans(pigs.anew, "source")
#>  source emmean     SE df lower.CL upper.CL
#>  fish     3.39 0.0367 23     3.32     3.47
#>  soy      3.67 0.0374 23     3.59     3.74
#>  skim     3.80 0.0394 23     3.72     3.88
#> 
#> Results are averaged over the levels of: percent 
#> Results are given on the log (not the response) scale. 
#> Confidence level used: 0.95