Attempt to reconstruct the data used to create a model object
find_data(model, ...) # S3 method for default find_data(model, env = parent.frame(), ...) # S3 method for data.frame find_data(model, ...) # S3 method for crch find_data(model, env = parent.frame(), ...) # S3 method for glimML find_data(model, ...) # S3 method for glm find_data(model, env = parent.frame(), ...) # S3 method for hxlr find_data(model, env = parent.frame(), ...) # S3 method for lm find_data(model, env = parent.frame(), ...) # S3 method for mca find_data(model, env = parent.frame(), ...) # S3 method for merMod find_data(model, env = parent.frame(), ...) # S3 method for svyglm find_data(model, ...) # S3 method for train find_data(model, ...) # S3 method for vgam find_data(model, env = parent.frame(), ...) # S3 method for 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 |
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.
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.
#> mpg cyl disp hp drat wt qsec vs am gear carb #> Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 #> Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 #> Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1 #> Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 #> Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2 #> Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1