An introduction to data analysis using aggregation functions in R. (2016)
- Record Type:
- Book
- Title:
- An introduction to data analysis using aggregation functions in R. (2016)
- Main Title:
- An introduction to data analysis using aggregation functions in R
- Further Information:
- Note: Simon James.
- Authors:
- James, Simon
- Contents:
- Aggregating data with averaging functions -- Transforming data -- Weighted averaging -- Averaging with interaction -- Fitting aggregation functions to empirical data -- Solutions.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (x, 199 pages), illustrations (some color)
- Subjects:
- 519.50285
Computer science
Mathematical statistics -- Data processing
R (Computer program language)
Mathematical statistics -- Data processing
R (Computer program language)
Computer Science
Computing Methodologies
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Applications of Mathematics
Mathematics of Computing
Mathematics -- Probability & Statistics -- General
Mathematics -- Applied
Computers -- Data Processing
Probability & statistics
Applied mathematics
Mathematical theory of computation
Artificial intelligence
Statistics
Mathematics
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Electronic books - Languages:
- English
- ISBNs:
- 9783319467627
3319467611
9783319467610 - Related ISBNs:
- 331946762X
9783319467610 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed November 30, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.373376
- Ingest File:
- 02_352.xml