| Group: | Statistical Data Analysis |
| Topic: | Nonparametric Methods |
| See also: | sker isoreg rmed l1line lowess |
| Function: | sknn | |
| Description: | sknn computes the k-nearest neighbour smooth regression from scatter plot data. As inputs you have to specify the explanatory variable x, the dependent variable y and the smoothing parameter k. |
| Usage: | yh = sknn (x, y, k) | |
| Input: | ||
| x | n x 1 vector | |
| y | n x 1 vector | |
| k | scalar | |
| Output: | ||
| yh | n x 1 vector | |
x = read ("geyser")
x = sort (x, #(1,2))
mh = x[,1]~sknn (x[,1],x[,2], 11)
d = createdisplay (1,1)
show (d, 1, 1, x, mh)
shows the geyser data and the sknn regression smoother
| Group: | Statistical Data Analysis |
| Topic: | Nonparametric Methods |
| See also: | sker isoreg rmed l1line lowess |