• Medientyp: E-Book
  • Titel: Introduction to data science : data analysis and prediction algorithms with R
  • Beteiligte: Irizarry, Rafael A. [VerfasserIn]
  • Erschienen: Boca Raton; London; New York: CRC Press, Taylor & Francis, [2020]
  • Erschienen in: Data Science series
    A Chapman & Hall Book
  • Umfang: 1 online resource (xxx, 713 Seiten); Diagramme, Illustrationen
  • Sprache: Englisch
  • ISBN: 9781000707731
  • Schlagwörter: Data-Warehouse-Konzept > Data Science > Datenanalyse > R > Visualisierung > Statistik
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book.

    Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Introduction -- 1 Getting started with R and RStudio -- 1.1 Why R? -- 1.2 The R console -- 1.3 Scripts -- 1.4 RStudio -- 1.4.1 The panes -- 1.4.2 Key bindings -- 1.4.3 Running commands while editing scripts -- 1.4.4 Changing global options -- 1.5 Installing R packages -- I: R -- 2 R basics -- 2.1 Case study: US Gun Murders -- 2.2 The very basics -- 2.2.1 Objects -- 2.2.2 The workspace -- 2.2.3 Functions -- 2.2.4 Other prebuilt objects -- 2.2.5 Variable names -- 2.2.6 Saving your workspace -- 2.2.7 Motivating scripts -- 2.2.8 Commenting your code -- 2.3 Exercises -- 2.4 Data types -- 2.4.1 Data frames -- 2.4.2 Examining an object -- 2.4.3 The accessor: -- 2.4.4 Vectors: numerics, characters, and logical -- 2.4.5 Factors -- 2.4.6 Lists -- 2.4.7 Matrices -- 2.5 Exercises -- 2.6 Vectors -- 2.6.1 Creating vectors -- 2.6.2 Names -- 2.6.3 Sequences -- 2.6.4 Subsetting -- 2.7 Coercion -- 2.7.1 Not availables (NA) -- 2.8 Exercises -- 2.9 Sorting -- 2.9.1 sort -- 2.9.2 order -- 2.9.3 max and which.max -- 2.9.4 rank -- 2.9.5 Beware of recycling -- 2.10 Exercises -- 2.11 Vector arithmetics -- 2.11.1 Rescaling a vector -- 2.11.2 Two vectors -- 2.12 Exercises -- 2.13 Indexing -- 2.13.1 Subsetting with logicals -- 2.13.2 Logical operators -- 2.13.3 which -- 2.13.4 match -- 2.13.5 %in% -- 2.14 Exercises -- 2.15 Basic plots -- 2.15.1 plot -- 2.15.2 hist -- 2.15.3 boxplot -- 2.15.4 image -- 2.16 Exercises -- 3 Programming basics -- 3.1 Conditional expressions -- 3.2 Defining functions -- 3.3 Namespaces -- 3.4 For-loops -- 3.5 Vectorization and functionals -- 3.6 Exercises -- 4 The tidyverse -- 4.1 Tidy data -- 4.2 Exercises -- 4.3 Manipulating data frames -- 4.3.1 Adding a column with mutate -- 4.3.2 Subsetting with filter.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung - Nicht-kommerziell - Weitergabe unter gleichen Bedingungen (CC BY-NC-SA)