Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: smoother
See also: lpregest lpderest

Macro: spfill
Description: spfill fills places of sparsity with interpolated observations to avoid the need of oversmoothing.

Usage: xyaug = spfill(x,y, a, b, h, r)
Input:
x n x 1 matrix
y n x 1 matrix
a scalar, lower limit for estimation
b scalar, upper limit for estimation
h scalar, bandwidth
r scalar, scaling factor
Output:
xyaug n x 2 matrix, is the augmented and sorted data

Example:
library("smoother")
n = 50
x = uniform(n) 
y = sin(2.*pi.*x) + 0.1.*normal(n)
a = -0.2 b = 1.2
h = 0.05 r = 2
xyaug = spfill(x,y,a,b,h,r)
estaug=lpregest(xyaug,h) 
t = createdisplay(1,1)                                      
show(t,1,1,x~y,xyaug,estaug)
Result:
Computes and plots the local linear estimator using
the augmented data.   

Library: smoother
See also: lpregest lpderest

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Berwin Turlach & Lijian Yang, 970610
(C) MD*TECH Method and Data Technologies, 28.6.1999