Class of object returned by the `fusedanova`

function.

`result`

:a list of objects, one per variable. Objects are lists containing :

`table`

: a dataframe containing the`lambda`

;`Beta`

, value of coefficient ;`slope`

;`idown`

the minimal index of class in the group and`iup`

, the maximum one; for each fusion time`lambda`

.`order`

: a vector giving the order of means before any fuse. Needed with`classes`

for data conversion to a more understandable format.

`weights`

:the weights used t eprform the fit.

'

`classes`

:the intitulate of the classes as entered in the

`class`

parameter in the`fusedanova`

function.`prediction`

:if a

`lambdalist`

was given to the`fusedanova`

function, a list contaning for each variable an object with the same format as the ones in`result`

. Else, an empty list.`lambdalist`

:the

`lambdalist`

vector parameter given in the`fusedanova`

function. If not given, empty vector.`algorithm`

:a character string indicating wether splits where allowed or not.

Specific plotting, predict and conversion methods are
available and documented
(`plot,fusedanova-method`

,
`predict,fusedanova-method`

,
`dataconvert,fusedanova-method`

).

See also `plot,fusedanova-method`

,
`predict,fusedanova-method`

`dataconvert,fusedanova-method`

and
`fusedanova`

.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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