# fitted: Extract Polygonal Linear Model Fitted Values In psda: Polygonal Symbolic Data Analysis

## Description

The function is used to calculate the fitted center and radius or fitted polygos from polygonal linear regression model.

## Usage

 ```1 2``` ```## S3 method for class 'plr' fitted(object, ..., polygon = FALSE, vertices) ```

## Arguments

 `object` an object of the class "plr". `...` further arguments special methods could require. `polygon` logical. If FALSE the function returns the center and radius predicted for polygon. If TRUE the function returns an object of the class "Polygonal" representing the fitted polygons. `vertices` If polygon is TRUE a number of vertices should be defined. Besides, the number of vertices should be greater than 2 and equal to number of vertices chosen in symbolic polygonal variables.

## Value

ans the fitted values for polygonal linear regression.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10``` ```yp <- psim(10, 10) #simulate 10 polygons of 10 sides xp1 <- psim(10, 10) #simulate 10 polygons of 10 sides xp2 <- psim(10, 10) #simulate 10 polygons of 10 sides e <- new.env() e\$yp <- yp e\$xp1 <- xp1 e\$xp2 <- xp2 fit <- plr(yp~xp1+xp2-1, e) fitted(fit) #shows the center and radius fitted from plr fitted(fit, polygon = TRUE, vertices = 10) #Shows the polygon fitted from plr ```

psda documentation built on July 1, 2020, 6:10 p.m.