R: Intercept estimates from segmented relationships

intercept {segmented} | R Documentation

## Intercept estimates from segmented relationships

### Description

Computes the intercepts of each ‘segmented’ relationship in the fitted model.

### Usage

    intercept(ogg, parm, rev.sgn = FALSE, var.diff=FALSE,
        digits = max(4, getOption("digits") - 2))

### Arguments

`ogg` | an object of class "segmented", returned by any `segmented` method.
`parm` | the segmented variable whose intercepts have to be computed. If missing all the segmented variables in the model are considered.

`rev.sgn` | vector of logicals. The length should be equal to the length of `parm`, but it is recycled otherwise. When `TRUE` it is assumed that the current `parm` is ‘minus’ the actual segmented variable, therefore the order is reversed before printing. This is useful when a null-constraint has been set on the last slope.
`var.diff` | Currently ignored as only point estimates are computed.
`digits` | controls number of digits in the returned output.

### Details

A broken-line relationship means that a regression equation exists in the intervals 'min(x) to psi1', 'psi1 to psi2', and so on. `intercept` computes point estimates of the intercepts of the different regression equations for each segmented relationship in the fitted model.

### Value

`intercept` returns a list of one-column matrices. Each matrix represents a segmented relationship.

### Author(s)

Vito M. R. Muggeo, vito.muggeo@unipa.it

### See Also

See also `slope` to compute the slopes of the different regression equations for each segmented relationship in the fitted model.

### Examples

    ## see ?slope
    ## Not run:
    intercept(out.seg)

    ## End(Not run)

[Package segmented version 0.5-3.0 Index]