The function check_ancova() fits an ANalysis of COVAriance (ANCOVA)
model to figure out which kind of linear regression model suits the
(historical) data best.
check_ancova(data, response_vbl, time_vbl, batch_vbl, alpha = 0.05)A numeric vector of the form c(ci, cs) is returned, specifying
if a common intercept is appropriate (ci = 1) or not (ci = 0)
and if a common slope is appropriate (cs = 1) or not (cs = 0).
A data frame with the columns specified by response_vbl,
time_vbl and batch_vbl.
A character string specifying the response variable name
that must be a column of data.
A character string specifying the time variable name that
must be a column of data.
A character string specifying the column in data
with the grouping information (i.e. a factorial variable) for the
differentiation of the observations of the different batches.
A numeric value specifying the significance level for the
decision which model is appropriate, i.e. if the assumption of
common slope or common intercept is appropriate or not.
The default is 0.05.
The function check_ancova() fits an ANCOVA (ANalyis of
COVAriance) model to the data contained in the provided data frame. Based
on alpha, it checks if the intercepts and/or slopes between the
groups differ significantly or not.
aov.