Learning R [a step-by-step function guide to data analysis] Richard Cotton

By:

Cotton, Richard [aut]

Material type: Text

TextLanguage: English Publisher: Beijing Köln [u.a.] O'Reilly 2013Edition: 1. edDescription: XIX, 377 pages illustrationsContent type:

Text

Media type:

ohne Hilfsmittel zu benutzen

Carrier type:

Band

ISBN:

1449357105
9781449357108

Subject(s):

Additional physical formats: Erscheint auch als: Learning RDDC classification:

519.502855133 23
004

LOC classification:

QA276.45.R3

Other classification:

ST 250
ST 601
54.53
31.73

Online resources:

Summary: Introduction -- A scientific calculator -- Inspecting variables and your workspace -- Vectors, matrices, and arrays -- Lists and data frames -- Environments and functions -- Strings and factors -- Flow control and loops -- Advanced looping -- Packages -- Dates and times -- Getting data -- Cleaning and transforming -- Exploring and visualizing -- Distributions and modeling -- Programming -- Making packages

List(s) this item appears in: "R"

Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Library	004-2013 (Browse shelf(Opens below))	Available		AT-ISTA#000138

Total holds: 0

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Previous								Next
Previous	004-2012 Computation and its limits /	004-2013 Distributed Algorithms for Message-Passing Systems.	004-2013 Doing Data Science: Straight Talk from the Frontline.	004-2013 Learning R [a step-by-step function guide to data analysis]	004-2013 Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work.	004-2013 Agile Data Science: Building Data Analytics Applications with Hadoop.	004-2013 Interactive Data Visualization for the Web.	Next

Bibliography p. 365 - 366

Introduction -- A scientific calculator -- Inspecting variables and your workspace -- Vectors, matrices, and arrays -- Lists and data frames -- Environments and functions -- Strings and factors -- Flow control and loops -- Advanced looping -- Packages -- Dates and times -- Getting data -- Cleaning and transforming -- Exploring and visualizing -- Distributions and modeling -- Programming -- Making packages