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Recover data from the data from the model

recoverdata.Rd

Reconstructs data from the fitted model or the environment.

Usage

recoverdata(mod, extras = NULL, envir = environment(formula(mod)), ...)

Arguments

mod

fitted model

extras

character vector or formula specifying the predictors. Important when the transformation are applied in the formula.

envir

data environment

...

for future implementations

Value

a dataframe

Details

It uses the fitted model and the global environment to reconstruct the data used in the model. If data option is specified in the model formula, a dataframe with columns corresponding to the variable in the formula is returned. Any transformation, e.g. log specified in the formula terms is not evaluated on the returned data frame. However, if none is provided as model input, the dataframe is constructed from the formula terms with all transformations evaluated.

Examples

set.seed(4567)
x <- rnorm(100, 3, 5)
y <- 0.4 + 0.7*x + rnorm(100)
df <- data.frame(y = y, x = x)
m1 <- lm(y ~ x, df)
d1 <- recoverdata(m1)
head(d1)
#>            y          x
#> 1  0.2230063 -0.6791249
#> 2 -1.9167764 -1.5127303
#> 3  1.6205969  4.2620757
#> 4  3.7020609  6.0751293
#> 5  8.4265286  9.7726720
#> 6  8.4632857 11.0115927
m2 <- lm(y ~ x)
d2 <- recoverdata(m2)
head(d2)
#>            y          x
#> 1  0.2230063 -0.6791249
#> 2 -1.9167764 -1.5127303
#> 3  1.6205969  4.2620757
#> 4  3.7020609  6.0751293
#> 5  8.4265286  9.7726720
#> 6  8.4632857 11.0115927