In your case j$y are the original Y values (response), not the fitted
values. Try
plot(j$x,fitted(j))
On 19-Nov-12, at 7:20 PM, eric wrote:
Not sure what I'm doing wrong. Can't seem to get loess values. It
looks like
loess is returning the same values as the input.
j <-loess(x1$total~a
Hello,
Your problem is not reproducible.
Regards,
Pascal
Le 20/11/2012 12:20, eric a écrit :
Not sure what I'm doing wrong. Can't seem to get loess values. It looks like
loess is returning the same values as the input.
j <-loess(x1$total~as.numeric(index(x1)
plot(x1$total,type='l', ylab='M
Not sure what I'm doing wrong. Can't seem to get loess values. It looks like
loess is returning the same values as the input.
j <-loess(x1$total~as.numeric(index(x1)
plot(x1$total,type='l', ylab='M coms/y global',xlab='')
lines(loess(total~as.numeric(index(x1)),x1))
The plot statement works fine
On May 1, 2012, at 07:27 , Bert Gunter wrote:
> John:
>
> 1. This is not really an R question. You should post on statistics
> help list , e.f. stats.stackexchange.com
>
If it is about the concrete implementation, then it is actually an R question.
It probably won't harm to take a look at the
John:
1. This is not really an R question. You should post on statistics
help list , e.f. stats.stackexchange.com
Also, inline below.
-- Bert
On Mon, Apr 30, 2012 at 8:44 AM, John Haslett wrote:
> Dear All
>
> I'm having trouble working out what exactly loess means by its "Standard
> Error of
Dear All
I'm having trouble working out what exactly loess means by its "Standard Error
of the Residuals" denoted s
and in particular when the weights argument is invoked.
For example, if the weights are weights are all =1, then s^2 is nearly sum sq
res/ (n -1 - 'equiv num paras')
If the wei
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