Korrespondenzanalyse (Correspondence Analysis)
Einleitung
Korrespondenzanalyse (CA) Click to read ![](./images/book.png)
Die Korrespondenzanalyse (CA) ist ein statistisches Verfahren zur Analyse mehrdimensionaler Daten. Es handelt sich um eine multivariate Technik, die Assoziationsmuster zwischen qualitativen Variablen analysiert.
Qualitative Variablen sind Variablen, die nicht durch Zahlen, sondern durch Modalitäten dargestellt werden, z. B.: Geschlecht, Bildungsniveau, Familienstand usw.
Da in der Korrespondenzanalyse qualitative Variablen verwendet werden, müssen wir zuerst Kontingenzmatrizen erstellt werden.
Die Elemente der Kontingenzmatrix geben an, wie häufig die Merkmale zweier unterschiedlicher Größen gleichzeitig auftreten.
Ziel der Korrespondenzanalyse Click to read ![](./images/book.png)
Das Hauptziel der Korrespondenzanalyse ist die Analyse der Beziehungen zwischen einer Reihe von qualitativen Variablen, die an einem Kollektiv von statistischen Einheiten beobachtet werden. Dies geschieht durch die Identifizierung eines "optimalen" Raums, d. h. einer kleinen Dimension, die die Synthese der in den ursprünglichen Daten enthaltenen Strukturinformationen darstellt.
Im Wesentlichen werden wir eine Reihe von latenten Variablen (oder Faktoren) ermitteln. Diese latenten Variablen sind eine Kombination aus den ursprünglichen Variablen und drücken einige Konzepte aus, die in der Realität nicht direkt beobachtbar sind, sondern das Ergebnis der Messung einer Reihe von Variablen sind.
Die Annahme der Korrespondenzanalyse Click to read ![](./images/book.png)
Bei der Korrespondenzanalyse dürfen die verwendeten Variablen nicht unabhängig sein, d. h. die Werte der einen Variable müssen die Werte der anderen beeinflussen.
Vor der Durchführung einer Korrespondenzanalyse ist es notwendig, den Grad der gegenseitigen Abhängigkeit zwischen den betrachteten Merkmalen festzustellen: wenn sie unabhängig sind, ist es möglicherweise nicht sinnvoll, nach den Korrespondenzen zwischen ihnen zu suchen.
Zu diesem Zweck ist es notwendig, den Chi-Quadrat-Test anzuwenden, mit dem eventuelle Abhängigkeitsbeziehungen zwischen den qualitativen Variablen bewertet werden.
Der Test beginnt mit der Nullhypothese, wonach die beiden Variablen unabhängig sind. Die Alternativhypothese lautet, dass die beiden Variablen einen gewissen Grad an Interdependenz aufweisen.
Wenn die Testergebnisse einen p-Wert < 0,05 ergeben, kann die Nullhypothese verworfen werden und die beiden Variablen werden als voneinander abhängig betrachtet.
Wir können daher mit der Korrespondenzanalyse fortfahren.
Korrespondenzanalyse
Kontingenztabellen Click to read ![](./images/book.png)
Die Kontingenztabellen enthalten die gemeinsamen Häufigkeiten der Variablenwerte. Bei zwei qualitativen Variablen X und Y enthält die entsprechende Kontingenztabelle, wie oft ein bestimmter Modus der Variablen X mit einem bestimmten Modus der Variablen Y auftritt.
Die Korrespondenzanalyse ermöglicht es, das Phänomen sowohl im Raum der Zeilen als auch im Raum der Spalten darzustellen.
Zu diesem Zweck müssen die Zeilen- und Spaltenprofilmatrizen konstruiert werden:
- Entweder: Division der absoluten Häufigkeiten durch die entsprechenden Randhäufigkeiten der Zeilen bzw. Spalten;
- Oder: Division der relativen Häufigkeiten (d. h. der absoluten Häufigkeiten geteilt durch die Gesamtzahl der Stichprobe) durch die entsprechenden relativen Randhäufigkeiten der Zeilen bzw. Spalten.
Zeilenprofilmatrix
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Spaltenprofilmatrix |
![](https://datascience-project.eu/private-data/ckeditor/plugins/imageuploader/uploads/19a518d9.jpg) |
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Abstände zwischen Profilen Click to read ![](./images/book.png)
Schließlich werden wir die Abstände zwischen den Profilen berechnen, um festzustellen, ob die Modalitäten ähnlich sind oder nicht, und ob sie voneinander entfernt sind oder nicht, d. h. ob die Profile einander ähneln oder nicht.
Es gibt zwei Arten von Abständen: den euklidischen Abstand und den Chi-Quadrat-Abstand.
- Der euklidische Abstand begünstigt größere Abstände über kleinere Abstände und wird berechnet, indem die Differenz zwischen den relativen Häufigkeiten gebildet und dann quadriert wird.
- Der Chi-Quadrat-Abstand bevorzugt die geringsten Abstände, da er die Anzahl der Zeilen berücksichtigt. Er wird berechnet, indem die Differenz der Häufigkeiten in Bezug auf den Rahmen mit dem Kehrwert des Randes der Zeile (oder Spalte) gewichtet wird.
Eine Fallstudie
Importieren des Datensatzes Click to read ![](./images/book.png)
Chi-Quadrat-Test Click to read ![](./images/book.png)
Der Chi-Quadro-Test ist notwendig, um zu überprüfen, ob die Variablen nicht unabhängig sind. In diesem Fall sind die italienischen Regionen und die in Italien begangenen Straftaten unsere Variablen.
Die Nullhypothese des Tests lautet: ''Die Variablen sind unabhängig''
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Der p-Wert hilft uns dabei, die Nullhypothese zurückzuweisen oder nicht zurückzuweisen.
Bei einem Alpha= 5% ist der p-Wert: 2,2e-16.
Da der p-Wert unter 5%, d. h. bei 0,05, liegt, wird die Nullhypothese abgelehnt, so dass die beiden Variablen als in gewissem Maße voneinander abhängig angesehen werden.
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Korrespondenzanalyse in R Click to read ![](./images/book.png)
Für die CA bietet R ein Paket namens FactoMineR.
Zuerst müssen wir das FactoMineR-Paket installieren.
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)
![](https://datascience-project.eu/private-data/ckeditor/plugins/imageuploader/uploads/30fd4eb2.jpg) |
In Anbetracht des Ziels der Korrespondenzanalyse, die erklärte Trägheit zu beobachten, können wir sehen, auf welche Größe das Phänomen reduziert wird.
Wir sehen, dass die erste Dimension allein etwa 60 % der Gesamtvariabilität der Daten erklärt.
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Das gemeinsame zweidimensionale Diagramm der Einzelvariablen stellt grafisch dar, wie die Werte der beiden Variablen entlang der durch die neu extrahierten Dimensionen geschaffenen Achsen angeordnet sind. |
![](https://datascience-project.eu/private-data/ckeditor/plugins/imageuploader/uploads/32ff8000.jpg) |
Zusammenfassend
Zusammenfassend Click to read ![](./images/book.png)
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