Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. I've been trying to find a procedure in R that can handle ordinal based classification and so far have not found one. Does one exist ? If there is one, which package supports this type of analysis and what is the function ? Thanks in advance. Steve Steve Friedman Ph. D. Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 Steve_Friedman at nps.gov Office (305) 224 - 4282 Fax (305) 224 - 4147
Clustering with ordinal data
4 messages · Phil Spector, Steve_Friedman at nps.gov, Michael Bedward
Steve -
Take a look at daisy() in the cluster package.
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spector at stat.berkeley.edu
On Tue, 19 Oct 2010, Steve_Friedman at nps.gov wrote:
Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. I've been trying to find a procedure in R that can handle ordinal based classification and so far have not found one. Does one exist ? If there is one, which package supports this type of analysis and what is the function ? Thanks in advance. Steve Steve Friedman Ph. D. Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 Steve_Friedman at nps.gov Office (305) 224 - 4282 Fax (305) 224 - 4147
______________________________________________ R-help at 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.
Thanks Phil,
I'll do so now.
Much appreciated.
Steve
Steve Friedman Ph. D.
Spatial Statistical Analyst
Everglades and Dry Tortugas National Park
950 N Krome Ave (3rd Floor)
Homestead, Florida 33034
Steve_Friedman at nps.gov
Office (305) 224 - 4282
Fax (305) 224 - 4147
Phil Spector
<spector at stat.ber
keley.edu> To
Steve_Friedman at nps.gov
10/19/2010 02:23 cc
PM r-help at r-project.org
Subject
Re: [R] Clustering with ordinal
data
Steve -
Take a look at daisy() in the cluster package.
- Phil Spector
Statistical
Computing Facility
Department of
Statistics
UC Berkeley
spector at stat.berkeley.edu
On Tue, 19 Oct 2010, Steve_Friedman at nps.gov wrote:
Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that
the
data is ordinal. At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. I've been trying to find a procedure in R that can handle ordinal based classification and so far have not found one. Does one exist ? If there is one, which package supports this type of analysis and what is the function ? Thanks in advance. Steve Steve Friedman Ph. D. Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 Steve_Friedman at nps.gov Office (305) 224 - 4282 Fax (305) 224 - 4147
______________________________________________ R-help at 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.
Hello Steve,
I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. ? At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection.
Just about every vegetation survey ever conducted uses either presence absence or ordinal data collection (e.g. Braun-Blanquet scores or importance scores from nested quadrats). A large number of distance metrics are in the literature to deal with such data. As well as Phil's suggestion you should definitely look at the vegan package which contains a good selection of these metrics plus numerous functions frequently used in classification and ordination of veg data. Michael
On 20 October 2010 05:14, <Steve_Friedman at nps.gov> wrote:
Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. ? At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. ? ?I've been trying to find a procedure in R that can handle ordinal based classification and so far have not found one. Does one exist ? ?If there is one, which package supports this type of analysis and ?what is the function ? Thanks in advance. Steve Steve Friedman Ph. D. Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 Steve_Friedman at nps.gov Office (305) 224 - 4282 Fax ? ? (305) 224 - 4147
______________________________________________ R-help at 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.