Thanks in advance.
Nowadays I just calculate the bandwidth h of cross validation in kernel
smoothing using R language.
And I just looked up the usage of function, which is lscv(x,..,
exact=FALSE)
My question is what does "" stand for and mean? do you mind
specifically explaining it
Thank you in advance.
Now I want to make comparison of the different bandwidth h in a normal
distribution graph.
This is the table of bandwidth h: thumb rule (normal)--0.00205; thumb
rule(Epanech.)--0.00452; Plug-in (normal)--0.0009;
Plug-in(Epanech.)--0.002.
this is the condition: N=1010 data
Thanks in advance here.
I use dpik() function to calculate the bandwidth h. Following is the related
code:
h<-dpik(x,scalest="minim",level=2L,kernel="normal",canonical=FALSE,gridsize=401L,range.x=range(x),truncate=TRUE)
But there is warning messages:
1: In bkfe(gcounts, 6L, alpha, range.x = c(sa
Thank you for your reply.
I know the x in dpik() means the vector. But I don't know how to import into
c() with a huge metadata (>1000).
Following is my some try, and the h is: [1] 0.001180569, which seems to be
feasible.
x<-c(-0.00109349389485645,-0.00145304131152137,0.00023685387037116,0.00579
e.com
To: chester...@live.cn
Subject: Re: About dpik function
On 15/07/2012 19:57, chester123 wrote:
> Hi there and thanks in advance.
>
> Nowadays I am working on the plug-in bandwidth selection with R. Firstly, my
So why use package KernSmooth and not the methods in R it
Hi there and thanks in advance.
Nowadays I am working on the plug-in bandwidth selection with R. Firstly, my
1010 data is the return rate from Yahoo Finance.
Secondly, my code is following:
> r=read.table("/Users/user/Desktop/research/a.txt",sep=",",header=TRUE)
> x<-r[8:1010,]
> library(KernSmoot
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