Re: [R] Triangular distribution for kernel regression
Is this option (number of nearest neighbors) translate-able into bandwidth? In reading the kknn article, it seems like it might be but I'm still not exactly sure how. Unfortunately this is an important issue as the end users are used to using certain bandwidth values for their work. It may be more efficient to ask, more generally, how would I reproduce this command: ksmooth(x, y, normal, bandwidth=10) where x and y are ratio level variables, using kknn? Thanks for your patience and continued assistance. On Sat, Sep 12, 2009 at 5:19 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: You can specify the number of nearest neighbors. On Sat, Sep 12, 2009 at 5:16 PM, Bryan thespamho...@gmail.com wrote: I originally looked over kknn because I need to be able to specify a bandwidth parameter. I am trying to replicate some previous non-R work in R, so I can't stray to far from the procedure used there. In reading the paper referenced in the docs, I see that kknn can reduce to the NadarayaWatson estimator, which is where I need to be, but I'm not sure how to manipulate the bandwidth, as would be possible in other methods. Can you clarify this at all? Bryan On Sat, Sep 12, 2009 at 3:46 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: What about kknn -- that was listed as having the triangular distribution? On Sat, Sep 12, 2009 at 3:42 PM, Bryan thespamho...@gmail.com wrote: Gabor, Thanks for your quick reply (on a weekend even!) I've looked through the results of the search you recommended, and several related searches, and don't see anything exceptionally helpful. Kernel regression is a relatively new analysis for me; I apologize for needing a little more direction. I've understand that it is connected to local polynomial regression but I can't seem to have any success from that direction either. At this point the only package that is giving smoothed estimates as I would expect is ksmooth - which doesn't include the appropriate distribution. Best, Bryan On Sat, Sep 12, 2009 at 1:55 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: Try: RSiteSearch(kernel triangular) On Sat, Sep 12, 2009 at 1:51 PM, Bryan thespamho...@gmail.com wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Triangular distribution for kernel regression
If by chance you have an objective function you could automatically calculate the optimum number of nearest neighbors by cross validation eliminating the need to set it in the first place. On Sun, Sep 13, 2009 at 10:19 AM, Bryan thespamho...@gmail.com wrote: Is this option (number of nearest neighbors) translate-able into bandwidth? In reading the kknn article, it seems like it might be but I'm still not exactly sure how. Unfortunately this is an important issue as the end users are used to using certain bandwidth values for their work. It may be more efficient to ask, more generally, how would I reproduce this command: ksmooth(x, y, normal, bandwidth=10) where x and y are ratio level variables, using kknn? Thanks for your patience and continued assistance. On Sat, Sep 12, 2009 at 5:19 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: You can specify the number of nearest neighbors. On Sat, Sep 12, 2009 at 5:16 PM, Bryan thespamho...@gmail.com wrote: I originally looked over kknn because I need to be able to specify a bandwidth parameter. I am trying to replicate some previous non-R work in R, so I can't stray to far from the procedure used there. In reading the paper referenced in the docs, I see that kknn can reduce to the Nadaraya–Watson estimator, which is where I need to be, but I'm not sure how to manipulate the bandwidth, as would be possible in other methods. Can you clarify this at all? Bryan On Sat, Sep 12, 2009 at 3:46 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: What about kknn -- that was listed as having the triangular distribution? On Sat, Sep 12, 2009 at 3:42 PM, Bryan thespamho...@gmail.com wrote: Gabor, Thanks for your quick reply (on a weekend even!) I've looked through the results of the search you recommended, and several related searches, and don't see anything exceptionally helpful. Kernel regression is a relatively new analysis for me; I apologize for needing a little more direction. I've understand that it is connected to local polynomial regression but I can't seem to have any success from that direction either. At this point the only package that is giving smoothed estimates as I would expect is ksmooth - which doesn't include the appropriate distribution. Best, Bryan On Sat, Sep 12, 2009 at 1:55 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: Try: RSiteSearch(kernel triangular) On Sat, Sep 12, 2009 at 1:51 PM, Bryan thespamho...@gmail.com wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Triangular distribution for kernel regression
Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Triangular distribution for kernel regression
Try: RSiteSearch(kernel triangular) On Sat, Sep 12, 2009 at 1:51 PM, Bryan thespamho...@gmail.com wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Triangular distribution for kernel regression
Gabor, Thanks for your quick reply (on a weekend even!) I've looked through the results of the search you recommended, and several related searches, and don't see anything exceptionally helpful. Kernel regression is a relatively new analysis for me; I apologize for needing a little more direction. I've understand that it is connected to local polynomial regression but I can't seem to have any success from that direction either. At this point the only package that is giving smoothed estimates as I would expect is ksmooth - which doesn't include the appropriate distribution. Best, Bryan On Sat, Sep 12, 2009 at 1:55 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: Try: RSiteSearch(kernel triangular) On Sat, Sep 12, 2009 at 1:51 PM, Bryan thespamho...@gmail.com wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Triangular distribution for kernel regression
What about kknn -- that was listed as having the triangular distribution? On Sat, Sep 12, 2009 at 3:42 PM, Bryan thespamho...@gmail.com wrote: Gabor, Thanks for your quick reply (on a weekend even!) I've looked through the results of the search you recommended, and several related searches, and don't see anything exceptionally helpful. Kernel regression is a relatively new analysis for me; I apologize for needing a little more direction. I've understand that it is connected to local polynomial regression but I can't seem to have any success from that direction either. At this point the only package that is giving smoothed estimates as I would expect is ksmooth - which doesn't include the appropriate distribution. Best, Bryan On Sat, Sep 12, 2009 at 1:55 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: Try: RSiteSearch(kernel triangular) On Sat, Sep 12, 2009 at 1:51 PM, Bryan thespamho...@gmail.com wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Triangular distribution for kernel regression
Hi Brian, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. Look at Loader's locfit package. You are likely to be pleasantly surprised. Regards, Mark. Bryan-65 wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- View this message in context: http://www.nabble.com/Triangular-distribution-for-kernel-regression-tp25416706p25417878.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Triangular distribution for kernel regression
I originally looked over kknn because I need to be able to specify a bandwidth parameter. I am trying to replicate some previous non-R work in R, so I can't stray to far from the procedure used there. In reading the paper referenced in the docs, I see that kknn can reduce to the NadarayaWatson estimator, which is where I need to be, but I'm not sure how to manipulate the bandwidth, as would be possible in other methods. Can you clarify this at all? Bryan On Sat, Sep 12, 2009 at 3:46 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: What about kknn -- that was listed as having the triangular distribution? On Sat, Sep 12, 2009 at 3:42 PM, Bryan thespamho...@gmail.com wrote: Gabor, Thanks for your quick reply (on a weekend even!) I've looked through the results of the search you recommended, and several related searches, and don't see anything exceptionally helpful. Kernel regression is a relatively new analysis for me; I apologize for needing a little more direction. I've understand that it is connected to local polynomial regression but I can't seem to have any success from that direction either. At this point the only package that is giving smoothed estimates as I would expect is ksmooth - which doesn't include the appropriate distribution. Best, Bryan On Sat, Sep 12, 2009 at 1:55 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: Try: RSiteSearch(kernel triangular) On Sat, Sep 12, 2009 at 1:51 PM, Bryan thespamho...@gmail.com wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Triangular distribution for kernel regression
You can specify the number of nearest neighbors. On Sat, Sep 12, 2009 at 5:16 PM, Bryan thespamho...@gmail.com wrote: I originally looked over kknn because I need to be able to specify a bandwidth parameter. I am trying to replicate some previous non-R work in R, so I can't stray to far from the procedure used there. In reading the paper referenced in the docs, I see that kknn can reduce to the Nadaraya–Watson estimator, which is where I need to be, but I'm not sure how to manipulate the bandwidth, as would be possible in other methods. Can you clarify this at all? Bryan On Sat, Sep 12, 2009 at 3:46 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: What about kknn -- that was listed as having the triangular distribution? On Sat, Sep 12, 2009 at 3:42 PM, Bryan thespamho...@gmail.com wrote: Gabor, Thanks for your quick reply (on a weekend even!) I've looked through the results of the search you recommended, and several related searches, and don't see anything exceptionally helpful. Kernel regression is a relatively new analysis for me; I apologize for needing a little more direction. I've understand that it is connected to local polynomial regression but I can't seem to have any success from that direction either. At this point the only package that is giving smoothed estimates as I would expect is ksmooth - which doesn't include the appropriate distribution. Best, Bryan On Sat, Sep 12, 2009 at 1:55 PM, Gabor Grothendieck ggrothendi...@gmail.com wrote: Try: RSiteSearch(kernel triangular) On Sat, Sep 12, 2009 at 1:51 PM, Bryan thespamho...@gmail.com wrote: Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated. Bryan [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
