Help with implementing Whittaker-Henderson graduation for raw-data
Good day! Problems fixed. Resolutions: Added require(pracma, warn.conflicts = FALSE) after library(pracma). The code is now working. (The examples in the link https://artax.karlin.mff.cuni.cz/r-help/library/pracma/html/whittaker show the sample code for the function, but not the prerequisites. I've found the prerequisites, so thank you very much!) Regards, Percy -----Original Message----- 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 raw-data 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. Berend Hasselman
On 2 Feb 2017, at 03:44, Percival Bueser <percival_bueser at cocolife.com>
wrote:
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: https://artax.karlin.mff.cuni.cz/r-help/library/pracma/html/whittaker.html On the attached .txt file, The x's are the independent variables and the
y's
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
which
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. Regards, Percy <Sample_data.txt>______________________________________________
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