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R Kompakt

R Kompakt


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International Edition


About the Book

1 Erste Schritte1.1 Vorstellung1.1.1 Pro und Contra R1.1.2 Typografische Konventionen1.1.3 R installieren1.1.4 Grafische Benutzeroberflächen1.1.5 Weiterführende Informationsquellen und Literatur1.2 Grundlegende Elemente1.2.1 R Starten, beenden und die Konsole verwenden1.2.2 Befehlssequenzen im Editor bearbeiten1.2.3 Einstellungen vornehmen1.2.4 Umgang mit dem Workspace1.2.5 Einfache Arithmetik1.2.6 Funktionen mit Argumenten aufrufen1.2.7 Hilfe-Funktionen1.2.8 Zusatzpakete verwenden1.2.9 Hinweise zum Arbeiten mit Zusatzpaketen1.2.10 Empfehlungen und typische Fehlerquellen1.3 Datenstrukturen: Klassen, Objekte, Datentypen1.3.1 Objekte benennen1.3.2 Zuweisungen an Objekte1.3.3 Objekte ausgeben1.3.4 Objekte anzeigen lassen und entfernen1.3.5 Datentypen1.3.6 Logische Werte, Operatoren und Verknüpfungen2 Daten importieren und exportieren2.1 Daten im Textformat lesen und schreiben2.2 R-Objekte speichern und laden2.3 Daten mit anderen Programmen austauschen2.3.1 Programme zur Tabellenkalkulation2.3.2 SPSS, Stata und SAS2.3.3 Datenbanken3 Elementare Datenverarbeitung3.1 Vektoren3.1.1 Vektoren erzeugen3.1.2 Elemente auswählen und verändern3.1.3 Datentypen in Vektoren3.1.4 Elemente benennen3 Inhaltsverzeichnis3.2 Logische Operatoren3.2.1 Logischer Vergleich von Vektoren3.2.2 Logische Indexvektoren3.3 Systematische und zufällige Wertefolgen erzeugen3.3.1 Numerische Sequenzen erstellen3.3.2 Wertefolgen wiederholen3.3.3 Zufällig aus einer Urne ziehen3.3.4 Zufallszahlen aus bestimmten Verteilungen erzeugen3.4 Daten transformieren3.4.1 Werte sortieren3.4.2 Werte in zufällige Reihenfolge bringen3.4.3 Teilmengen von Daten auswählen3.4.4 Daten umrechnen3.4.5 Neue aus bestehenden Variablen bilden3.4.6 Werte ersetzen oder recodieren3.4.7 Kontinuierliche Variablen in Kategorien einteilen3.5 Gruppierungsfaktoren3.5.1 Ungeordnete Faktoren3.5.2 Faktorstufen nachträglich ändern3.5.3 Geordnete Faktoren3.5.4 Reihenfolge von Faktorstufen3.5.5 Faktoren nach Muster erstellen3.5.6 Quantitative in kategoriale Variablen umwandeln3.6 Deskriptive Kennwerte numerischer Daten3.6.1 Summen, Differenzen und Produkte3.6.2 Extremwerte3.6.3 Mittelwert, Median und Modalwert3.6.4 Prozentrang, Quartile und Quantile3.6.5 Varianz, Streuung, Schiefe und Wölbung3.6.6 Kovarianz und Korrelation3.6.7 Kennwerte getrennt nach Gruppen berechnen3.7 Matrizen3.7.1 Dimensionierung, Zeilen und Spalten3.7.2 Elemente auswählen und verändern3.7.3 Matrizen verbinden3.7.4 Matrizen sortieren3.7.5 Randkennwerte berechnen3.7.6 Kovarianz- und Korrelationsmatrizen3.8 Datensätze3.8.1 Datentypen in Datensätzen3.8.2 Elemente auswählen und verändern3.8.3 Namen von Variablen und Beobachtungen3.8.4 Datensätze in den Suchpfad einfügen3.9 Listen3.9.1 Komponenten auswählen und verändern3.9.2 Komponenten hinzufügen und entfernen4 Inhaltsverzeichnis3.10 Häufigkeiten bestimmen3.10.1 Einfache Tabellen absoluter und relativer Häufigkeiten3.10.2 Absolute, relative und bedingte relative Häufigkeiten in Kreuztabellen3.10.3 Randkennwerte von Kreuztabellen
About the Author:

PD Dr. Daniel Wollschläger lehrte viele Jahre am Institut für Psychologie der Christian-Albrechts-Universität zu Kiel und ist nun am Institut für Medizinische Biometrie, Epidemiologie und Informatik der Universitätsmedizin der Johannes Gutenberg-Universität Mainz tätig.


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Product Details
  • ISBN-13: 9783662630747
  • Publisher: Springer
  • Publisher Imprint: Springer Spektrum
  • Height: 244 mm
  • No of Pages: 251
  • Spine Width: 14 mm
  • Weight: 480 gr
  • ISBN-10: 3662630745
  • Publisher Date: 22 May 2021
  • Binding: Paperback
  • Language: German
  • Returnable: Y
  • Sub Title: Der Schnelle Einstieg in Die Datenanalyse
  • Width: 170 mm


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