Description Usage Arguments Details Value See Also Examples
Attempt to reconstruct the data used to create a model object
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | find_data(model, ...)
## Default S3 method:
find_data(model, env = parent.frame(), ...)
## S3 method for class 'data.frame'
find_data(model, ...)
## S3 method for class 'crch'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'glimML'
find_data(model, ...)
## S3 method for class 'glm'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'hxlr'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'lm'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'mca'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'merMod'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'svyglm'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'train'
find_data(model, ...)
## S3 method for class 'vgam'
find_data(model, env = parent.frame(), ...)
## S3 method for class 'vglm'
find_data(model, env = parent.frame(), ...)
|
model |
The model object. |
... |
Additional arguments passed to methods. |
env |
An environment in which to look for the |
This is a convenience function and, as such, carries no guarantees. To behave well, it typically requires that a model object be specified using a formula interface and an explicit data
argument. Models that can be specified using variables from the .GlobalEnv
or with a non-formula interface (e.g., a matrix of data) will tend to generate errors. find_data
is an S3 generic so it is possible to expand it with new methods.
A data frame containing the original data used in a modelling call, modified according to the original model's 'subset' and 'na.action' arguments, if appropriate.
prediction
, build_datalist
, mean_or_mode
, seq_range
1 2 3 |
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