Get Model Data
Extract the data used to fit a model.
getData(mod, subset = FALSE, merge = FALSE, env = parent.frame())
mod |
A fitted model object, or a list or nested list of such objects. |
subset |
Logical. If |
merge |
Logical. If |
env |
Environment in which to look for data (passed to
|
This is a simple convenience function to return the data used to fit a model, by evaluating the 'data' slot of the model call object. If the 'data' argument of the model call was not specified, or is not a data frame (or coercible to such) containing all variables referenced in the model formula, an error will be thrown - this restriction is largely to ensure that a single coherent dataset of all model variables can be made available for resampling purposes.
If mod is a list of models and merge = TRUE, all (unique)
variables used to fit models are merged into a single data frame. This will
return an error if subset = TRUE results in datasets with different
numbers of observations (rows).
A data frame of the variables used to fit the model(s), or a list or nested list of same.
# Get data used to fit SEM from Shipley (2009) getData(Shipley.SEM[[1]]) # from single model getData(Shipley.SEM) # from SEM (list) getData(Shipley.SEM, merge = TRUE) # from SEM (single dataset)
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