Examples from diverse areas of statistical application demonstrate the use of R for data analysis and associated graphics.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
John H. Maindonald is Contract Associate at Statistics Research Associates and was previously Visiting Fellow at the Australian National University. He has had wide experience both as a university lecturer and as a quantitative problem solver, working with researchers in diverse areas. He is the author of 'Statistical Computation' (1984), and the senior author of 'Data Analysis and Graphics Using R' (third edition, 2010).
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good. Bestandsnummer des Verkäufers mon0003861526
Anzahl: 1 verfügbar
Anbieter: AMM Books, Gillingham, KENT, Vereinigtes Königreich
hardcover. Zustand: Very Good. In stock ready to dispatch from the UK. Bestandsnummer des Verkäufers mon0000306606
Anzahl: 1 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 47194947-n
Anzahl: 1 verfügbar
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R. Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781009282277
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 47194947
Anzahl: 1 verfügbar
Anbieter: Speedyhen LLC, Hialeah, FL, USA
Zustand: NEW. Bestandsnummer des Verkäufers NWUS9781009282277
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. 1st edition NO-PA16APR2015-KAP. Bestandsnummer des Verkäufers 26398999941
Anzahl: 4 verfügbar
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Hardcover. Zustand: New. Bestandsnummer des Verkäufers 6666-GRD-9781009282277
Anzahl: 1 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Bestandsnummer des Verkäufers ria9781009282277_new
Anzahl: Mehr als 20 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 555 pages. 6.90x1.20x9.90 inches. In Stock. This item is printed on demand. Bestandsnummer des Verkäufers __1009282271
Anzahl: 1 verfügbar