)
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Terry W. Schulz
Applied Statistician
1218 Pomegranate Lane
Golden, CO 80401
USA
[EMAIL PROTECTED]
(303) 526-1461
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Terry W. Schulz
Applied Statistician
1218 Pomegranate Lane
Golden, CO 80401
USA
[EMAIL PROTECTED]
(303) 526-1461
Sego, Landon H wrote:
Here's one way to do this:
Before you begin the loop, define a vector to capture the output. Then
each iteration of the loop will be assigned
Thank you for the perfect solution.
Uwe Ligges wrote:
Terry W. Schulz wrote:
Hello,
I am new to R, so forgive my ignorance on what is probably simple.
I find package simpleboot quite useful for LOESS bootstrapping and
generation of plots.
I want to calculate the standard error for x=60
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Terry W. Schulz
Applied Statistician
1218 Pomegranate Lane
Golden, CO 80401
[EMAIL PROTECTED]
(303) 526-1461
[[alternative
=gaussian,
method=loess)
lo.b - loess.boot(lo, R=50, rows = TRUE, new.xpts = NULL, ngrid = 100,
weights = NULL)
lo.b$boot.list$1$fitted[60]
--
Terry W. Schulz
Applied Statistician
1218 Pomegranate Lane
Golden, CO 80401
[EMAIL PROTECTED]
(303) 526-1461
__
R
=gaussian,
method=loess)
lo.b - loess.boot(lo, R=50, rows = TRUE, new.xpts = NULL, ngrid = 100,
weights = NULL)
lo.b$boot.list$1$fitted[60]
--
Terry W. Schulz
Applied Statistician
1218 Pomegranate Lane
Golden, CO 80401
[EMAIL PROTECTED]
(303) 526-1461
__
R