Computes the intercepts of each `segmented' relationship in the fitted model.
intercept(ogg, parm, rev.sgn = FALSE, var.diff=FALSE,
digits = max(3, getOption("digits") - 3))an object of class "segmented", returned by any segmented method.
the segmented variable whose intercepts have to be computed. If missing all the segmented variables in the model are considered.
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.
Currently ignored as only point estimates are computed.
controls number of digits in output.
intercept returns a list of one-column matrices. Each matrix represents a segmented relationship.
A broken-line relationship means that a regression equation exists in the intervals
`\(min(x)\) to \(\psi_1\)', `\(\psi_1\) to \(\psi_2\)', and so on.
intercept computes point estimates of the intercepts of the different regression equations
for each segmented relationship in the fitted model.
See also slope to compute the slopes of the different regression equations
for each segmented relationship in the fitted model.
## see ?slope
intercept(out.seg)
Run the code above in your browser using DataLab