The function get_icpt() determines the intercept(s) of the provided
model.
get_icpt(
model,
response_vbl,
time_vbl,
batch_vbl,
xform = c("no", "no"),
shift = c(0, 0)
)A list with a single element containing the numeric value or a numeric vector of the intercept(s) or, if the data have been transformed, a list with an additional element that contains the numeric value or numeric vector on the original scale.
A linear model object of type ‘lm’.
A character string specifying the response variable name that must be a column of the data frame that was used for model fitting.
A character string specifying the time variable name that must be a column of data frame that was used for model fitting.
A character string specifying the column of the data frame that was used for model fitting with the grouping information (i.e. a factorial variable) for the differentiation of the observations from the different batches.
A vector of two character strings specifying the transformation
of the response and the time variable. The default is “no”
transformation, i.e. c("no", "no"), where the first element
specifies the transformation of the \(x\) variable and the second
element the transformation of the \(y\) variable. Valid alternatives
for \(x\) and/or \(y\) variable transformation are "log"
(natural logarithm), "sqrt" (square root) and "sq" (square).
A vector of two values which will be added to the variables
\(x\) and/or \(y\) before they are transformed as specified by the
xform parameter, where the first element will be added to the
\(x\) variable and the second element to the \(y\) variable. The
purpose is to prevent an undefined state which could arise when variables
with values of \(\leq 0\) are log or square root transformed. The
default is c(0, 0).
The function get_icpt() determines the intercept(s) of the
model that has been handed over via the model parameter.