Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations
Jombart et al. 2010 described their methodology of Discriminant Analysis of Principal Components(DAPC) for the analysis of genetically structured populations as a new methodological approach that retained all the assets of Discriminant Analysis, whereas not being burdened by its limitation of requir...
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| Formato: | Source Code |
| Lenguaje: | Inglés |
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2020
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| Acceso en línea: | https://hdl.handle.net/10568/113436 |
| _version_ | 1855521353601384448 |
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| author | Kindt, R. |
| author_browse | Kindt, R. |
| author_facet | Kindt, R. |
| author_sort | Kindt, R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Jombart et al. 2010 described their methodology of Discriminant Analysis of Principal Components(DAPC) for the analysis of genetically structured populations as a new methodological approach that retained all the assets of Discriminant Analysis, whereas not being burdened by its limitation of requiring the number of variables (alleles) to be less than the number of observations (individuals). |
| format | Source Code |
| id | CGSpace113436 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | dspace |
| spelling | CGSpace1134362021-04-20T06:25:53Z Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations Kindt, R. genetic resources taxonomy Jombart et al. 2010 described their methodology of Discriminant Analysis of Principal Components(DAPC) for the analysis of genetically structured populations as a new methodological approach that retained all the assets of Discriminant Analysis, whereas not being burdened by its limitation of requiring the number of variables (alleles) to be less than the number of observations (individuals). 2020-12-21 2021-04-20T06:25:23Z 2021-04-20T06:25:23Z Source Code https://hdl.handle.net/10568/113436 en Open Access Kindt, R., 2020. Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations. https://rpubs.com/Roeland-KINDT/706490 |
| spellingShingle | genetic resources taxonomy Kindt, R. Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations |
| title | Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations |
| title_full | Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations |
| title_fullStr | Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations |
| title_full_unstemmed | Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations |
| title_short | Redundancy analysis with vegan and BiodiversityR as an alternative to Discriminant Analysis of Principal Components for the analysis of genetically structured populations |
| title_sort | redundancy analysis with vegan and biodiversityr as an alternative to discriminant analysis of principal components for the analysis of genetically structured populations |
| topic | genetic resources taxonomy |
| url | https://hdl.handle.net/10568/113436 |
| work_keys_str_mv | AT kindtr redundancyanalysiswithveganandbiodiversityrasanalternativetodiscriminantanalysisofprincipalcomponentsfortheanalysisofgeneticallystructuredpopulations |