`mlogit.data` is deprecated, use [dfidx::dfidx()] instead, `mFormula` is replaced by [Formula::Formula()] and [zoo::index()] by `idx`.
mlogit.data(
data,
choice = NULL,
shape = c("long", "wide"),
varying = NULL,
sep = ".",
alt.var = NULL,
chid.var = NULL,
alt.levels = NULL,
id.var = NULL,
group.var = NULL,
opposite = NULL,
drop.index = FALSE,
ranked = FALSE,
subset = NULL,
...
)mFormula(object)
# S3 method for formula
mFormula(object)
# S3 method for default
mFormula(object)
# S3 method for mFormula
model.matrix(object, data, ...)
is.mFormula(object)
# S3 method for dfidx
index(x, ...)
# S3 method for mlogit
index(x, ...)
`mlogit.data` now returns a `dfidx` object, `mFormula` simply calls [Formula::Formula()] and returns a `Formula` object.
a `data.frame`,
the variable indicating the choice made: it can be either a logical vector, a numerical vector with 0 where the alternative is not chosen, a factor with level 'yes' when the alternative is chosen
the shape of the `data.frame`: whether `long` if each row is an alternative or `wide` if each row is an observation,
the indexes of the variables that are alternative specific,
the seperator of the variable name and the alternative name (only relevant for a `wide` `data.frame`),
the name of the variable that contains the alternative index (for a `long` `data.frame` only) or the name under which the alternative index will be stored (the default name is `alt`),
the name of the variable that contains the choice index or the name under which the choice index will be stored,
the name of the alternatives: if null, for a `wide` data.frame, they are guessed from the variable names and the choice variable (both should be the same), for a `long` `data.frame`, they are guessed from the `alt.var` argument,
the name of the variable that contains the individual index if any,
the name of the variable that contains the group index if any,
returns the opposite of the specified variables,
should the index variables be dropped from the `data.frame`,
a logical value which is true if the response is a rank,
a logical expression which defines the subset of observations to be selected,
further arguments passed to `reshape`.
a `formula`, a `dfidx` or a `mlogit` object,
a boolean, equal to `FALSE` if one wants that a `data.frame` is always returned,
Yves Croissant
[stats::reshape()]