Exploring contingency tables with correspondence analysis
An algorithm for correspondence analysis is described and implemented in SAS/IML (SAS Institute, 1985a). The technique is shown, through the analysis of several biological examples, to supplement the log-linear models approach to the analysis of contingency tables, both in the model identification a...
Gespeichert in:
Veröffentlicht in: | Bioinformatics 1989-07, Vol.5 (3), p.183-189 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 189 |
---|---|
container_issue | 3 |
container_start_page | 183 |
container_title | Bioinformatics |
container_volume | 5 |
creator | MOSER, E. B |
description | An algorithm for correspondence analysis is described and implemented in SAS/IML (SAS Institute, 1985a). The technique is shown, through the analysis of several biological examples, to supplement the log-linear models approach to the analysis of contingency tables, both in the model identification and model interpretation stages of analysis. A simple two-way contingency table of tumor data is analyzed using correspondence analysis. This example emphasises the relationships between the parameters of the log-linear model for the table and the graphical correspondence analysis results. The technqiue is also applied to a three-way table of survey data concerning ulcer patients to demonstrate applications of simple correspondence analysis to higher dimensional tables with fixed margins. Finally, the diets and foraging behaviors of birds of the Hubbard Brook Forest are each analyzed and then a simultaneous display of the two separate but related tables is constructed to highlight relationships between the tables. |
doi_str_mv | 10.1093/bioinformatics/5.3.183 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_79163840</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>79163840</sourcerecordid><originalsourceid>FETCH-LOGICAL-c373t-106b134acf99e9a9268f756999ceab5de908dbf0658b8d09e6039d5a634d7cb43</originalsourceid><addsrcrecordid>eNpVkEtLAzEUhYMotVZ_gtKFuJs2mZvHZKmltkLBBwriJmQyGY1OZ2oyxfbfG-lQcHUf5zv3wkHoguARwRLGuWtcXTZ-qVtnwpiNYEQyOEB9QjlOUszkYeyBi4RmGI7RSQifGDNCKe2hXio4j1MfyelmVTXe1e9D09RtrLY222Gr88qG4Y9rP-LeextWTV1EyQ51rattcOEUHZW6CvasqwP0cjt9nsyTxf3sbnK9SAwIaBOCeU6AalNKaaWWKc9KwbiU0lids8JKnBV5iTnL8qzA0nIMsmCaAy2EySkM0NXu7so332sbWrV0wdiq0rVt1kEJSThkFEeQ70DjmxC8LdXKu6X2W0Ww-stM_c9MMQUqZhaN592Hdb60xd7WhRT1y07Xweiq9Lo2LuwxAQwEERFLdpgLrd3sZe2_FBcgmJq_vqnZw-Tm5il9VAR-AU38iSc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>79163840</pqid></control><display><type>article</type><title>Exploring contingency tables with correspondence analysis</title><source>Oxford Journals Open Access Collection</source><source>MEDLINE</source><source>Alma/SFX Local Collection</source><source>Oxford University Press Journals Digital Archive Legacy</source><creator>MOSER, E. B</creator><creatorcontrib>MOSER, E. B</creatorcontrib><description>An algorithm for correspondence analysis is described and implemented in SAS/IML (SAS Institute, 1985a). The technique is shown, through the analysis of several biological examples, to supplement the log-linear models approach to the analysis of contingency tables, both in the model identification and model interpretation stages of analysis. A simple two-way contingency table of tumor data is analyzed using correspondence analysis. This example emphasises the relationships between the parameters of the log-linear model for the table and the graphical correspondence analysis results. The technqiue is also applied to a three-way table of survey data concerning ulcer patients to demonstrate applications of simple correspondence analysis to higher dimensional tables with fixed margins. Finally, the diets and foraging behaviors of birds of the Hubbard Brook Forest are each analyzed and then a simultaneous display of the two separate but related tables is constructed to highlight relationships between the tables.</description><identifier>ISSN: 1367-4803</identifier><identifier>ISSN: 0266-7061</identifier><identifier>EISSN: 1460-2059</identifier><identifier>DOI: 10.1093/bioinformatics/5.3.183</identifier><identifier>PMID: 2766005</identifier><identifier>CODEN: COABER</identifier><language>eng</language><publisher>Washington, DC: Oxford University Press</publisher><subject>Algorithms ; Biological and medical sciences ; Data Interpretation, Statistical ; Fundamental and applied biological sciences. Psychology ; General aspects ; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) ; Models, Statistical ; Programming Languages</subject><ispartof>Bioinformatics, 1989-07, Vol.5 (3), p.183-189</ispartof><rights>1989 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-106b134acf99e9a9268f756999ceab5de908dbf0658b8d09e6039d5a634d7cb43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7353717$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/2766005$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>MOSER, E. B</creatorcontrib><title>Exploring contingency tables with correspondence analysis</title><title>Bioinformatics</title><addtitle>Comput Appl Biosci</addtitle><description>An algorithm for correspondence analysis is described and implemented in SAS/IML (SAS Institute, 1985a). The technique is shown, through the analysis of several biological examples, to supplement the log-linear models approach to the analysis of contingency tables, both in the model identification and model interpretation stages of analysis. A simple two-way contingency table of tumor data is analyzed using correspondence analysis. This example emphasises the relationships between the parameters of the log-linear model for the table and the graphical correspondence analysis results. The technqiue is also applied to a three-way table of survey data concerning ulcer patients to demonstrate applications of simple correspondence analysis to higher dimensional tables with fixed margins. Finally, the diets and foraging behaviors of birds of the Hubbard Brook Forest are each analyzed and then a simultaneous display of the two separate but related tables is constructed to highlight relationships between the tables.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Data Interpretation, Statistical</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)</subject><subject>Models, Statistical</subject><subject>Programming Languages</subject><issn>1367-4803</issn><issn>0266-7061</issn><issn>1460-2059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkEtLAzEUhYMotVZ_gtKFuJs2mZvHZKmltkLBBwriJmQyGY1OZ2oyxfbfG-lQcHUf5zv3wkHoguARwRLGuWtcXTZ-qVtnwpiNYEQyOEB9QjlOUszkYeyBi4RmGI7RSQifGDNCKe2hXio4j1MfyelmVTXe1e9D09RtrLY222Gr88qG4Y9rP-LeextWTV1EyQ51rattcOEUHZW6CvasqwP0cjt9nsyTxf3sbnK9SAwIaBOCeU6AalNKaaWWKc9KwbiU0lids8JKnBV5iTnL8qzA0nIMsmCaAy2EySkM0NXu7so332sbWrV0wdiq0rVt1kEJSThkFEeQ70DjmxC8LdXKu6X2W0Ww-stM_c9MMQUqZhaN592Hdb60xd7WhRT1y07Xweiq9Lo2LuwxAQwEERFLdpgLrd3sZe2_FBcgmJq_vqnZw-Tm5il9VAR-AU38iSc</recordid><startdate>19890701</startdate><enddate>19890701</enddate><creator>MOSER, E. B</creator><general>Oxford University Press</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>19890701</creationdate><title>Exploring contingency tables with correspondence analysis</title><author>MOSER, E. B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-106b134acf99e9a9268f756999ceab5de908dbf0658b8d09e6039d5a634d7cb43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Data Interpretation, Statistical</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)</topic><topic>Models, Statistical</topic><topic>Programming Languages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MOSER, E. B</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MOSER, E. B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring contingency tables with correspondence analysis</atitle><jtitle>Bioinformatics</jtitle><addtitle>Comput Appl Biosci</addtitle><date>1989-07-01</date><risdate>1989</risdate><volume>5</volume><issue>3</issue><spage>183</spage><epage>189</epage><pages>183-189</pages><issn>1367-4803</issn><issn>0266-7061</issn><eissn>1460-2059</eissn><coden>COABER</coden><abstract>An algorithm for correspondence analysis is described and implemented in SAS/IML (SAS Institute, 1985a). The technique is shown, through the analysis of several biological examples, to supplement the log-linear models approach to the analysis of contingency tables, both in the model identification and model interpretation stages of analysis. A simple two-way contingency table of tumor data is analyzed using correspondence analysis. This example emphasises the relationships between the parameters of the log-linear model for the table and the graphical correspondence analysis results. The technqiue is also applied to a three-way table of survey data concerning ulcer patients to demonstrate applications of simple correspondence analysis to higher dimensional tables with fixed margins. Finally, the diets and foraging behaviors of birds of the Hubbard Brook Forest are each analyzed and then a simultaneous display of the two separate but related tables is constructed to highlight relationships between the tables.</abstract><cop>Washington, DC</cop><cop>Oxford</cop><pub>Oxford University Press</pub><pmid>2766005</pmid><doi>10.1093/bioinformatics/5.3.183</doi><tpages>7</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1367-4803 |
ispartof | Bioinformatics, 1989-07, Vol.5 (3), p.183-189 |
issn | 1367-4803 0266-7061 1460-2059 |
language | eng |
recordid | cdi_proquest_miscellaneous_79163840 |
source | Oxford Journals Open Access Collection; MEDLINE; Alma/SFX Local Collection; Oxford University Press Journals Digital Archive Legacy |
subjects | Algorithms Biological and medical sciences Data Interpretation, Statistical Fundamental and applied biological sciences. Psychology General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Statistical Programming Languages |
title | Exploring contingency tables with correspondence analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T15%3A27%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploring%20contingency%20tables%20with%20correspondence%20analysis&rft.jtitle=Bioinformatics&rft.au=MOSER,%20E.%20B&rft.date=1989-07-01&rft.volume=5&rft.issue=3&rft.spage=183&rft.epage=189&rft.pages=183-189&rft.issn=1367-4803&rft.eissn=1460-2059&rft.coden=COABER&rft_id=info:doi/10.1093/bioinformatics/5.3.183&rft_dat=%3Cproquest_cross%3E79163840%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=79163840&rft_id=info:pmid/2766005&rfr_iscdi=true |