[R] Help with implementing Whittaker-Henderson graduation for raw-data
percival_bueser at cocolife.com
Fri Feb 3 01:53:14 CET 2017
Problems fixed. Resolutions:
require(pracma, warn.conflicts = FALSE) after library(pracma).
The code is now working. (The examples in the link
show the sample code for the function, but not the prerequisites. I've found
the prerequisites, so thank you very much!)
From: Berend Hasselman [mailto:bhh at xs4all.nl]
Sent: Friday, February 3, 2017 2:08 AM
To: Percival Bueser
Cc: r-help at r-project.org
Subject: Re: [R] Help with implementing Whittaker-Henderson graduation for
Why don't you just try the function whittaker from the pracma R package?
There is an example which should be adequate for finding out what to do.
> On 2 Feb 2017, at 03:44, Percival Bueser <percival_bueser at cocolife.com>
> Good day everyone!
> I would appreciate if anyone can help me regarding the following: I would
> like to implement the Whittaker-Henderson smoothing to the raw data on the
> attached .txt file, based on the description on this link:
> On the attached .txt file, The x's are the independent variables and the
> are the dependent variables. The signal to be smoothed is y, lambda = 1600
> and d = 2.
> Can anyone please send me a sample R script, or a link to an R script
> I can adapt, where I can get both the (1) smoothed graph and the (2)
> smoothed values of y for each x given, and then import both the smoothed
> graph and the smoothed values of y to Microsoft Excel?
> Thank you very much.
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> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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