Statistics Question: Kernel Smoothing in R
- by James Thompson
I have data of this form:
x y
1 0.19
2 0.26
3 0.40
4 0.58
5 0.59
6 1.24
7 0.68
8 0.60
9 1.12
10 0.80
11 1.20
12 1.17
13 0.39
I'm currently plotting a kernel-smoothed density estimate of the x versus y using this code:
smoothed = ksmooth( d$resi, d$score, bandwidth = 6 )
plot( smoothed )
I simply want a plot of the x versus smoothed(y) values, which is ## Heading ##
However, the documentation for ksmooth suggests that this isn't the best kernel-smoothing package available:
This function is implemented purely
for compatibility with S, although it
is nowhere near as slow as the S
function. Better kernel smoothers are
available in other packages.
What other kernel smoothers are better can these smoothers be found?
