Extract data from a model object
Attempt to reconstruct the data used to create a model object
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, ...) ## 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.
require("datasets")
x <- lm(mpg ~ cyl * hp + wt, data = head(mtcars))
find_data(x)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.