.convert_form_to_xy_fit  R Documentation 
Functions to take a formula interface and get the resulting
objects (y, x, weights, etc) back or the other way around. The functions are
intended for developer use. For the most part, this emulates the internals
of lm()
(and also see the notes at
https://developer.rproject.org/modelfittingfunctions.html).
.convert_form_to_xy_fit()
and .convert_xy_to_form_fit()
are for when the
data are created for modeling.
.convert_form_to_xy_fit()
saves both the data objects as well as the objects
needed when new data are predicted (e.g. terms
, etc.).
.convert_form_to_xy_new()
and .convert_xy_to_form_new()
are used when new
samples are being predicted and only require the predictors to be available.
.convert_form_to_xy_fit(
formula,
data,
...,
na.action = na.omit,
indicators = "traditional",
composition = "data.frame",
remove_intercept = TRUE
)
.convert_form_to_xy_new(
object,
new_data,
na.action = na.pass,
composition = "data.frame"
)
.convert_xy_to_form_fit(
x,
y,
weights = NULL,
y_name = "..y",
remove_intercept = TRUE
)
.convert_xy_to_form_new(object, new_data)
formula 
An object of class 
data 
A data frame containing all relevant variables (e.g. outcome(s), predictors, case weights, etc). 
... 
Additional arguments passed to 
na.action 
A function which indicates what should happen when the data contain NAs. 
indicators 
A string describing whether and how to create
indicator/dummy variables from factor predictors. Possible options are

composition 
A string describing whether the resulting 
remove_intercept 
A logical indicating whether to remove the intercept
column after 
object 
An object of class 
new_data 
A rectangular data object, such as a data frame. 
x 
A matrix, sparse matrix, or data frame of predictors. Only some
models have support for sparse matrix input. See 
y 
A vector, matrix or data frame of outcome data. 
weights 
A numeric vector containing the weights. 
y_name 
A string specifying the name of the outcome. 
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