Coverart for item
The Resource An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic resource)

An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic resource)

Label
An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing
Title
An Introduction to R for Quantitative Economics
Title remainder
Graphing, Simulating and Computing
Statement of responsibility
by Vikram Dayal
Creator
Author
Subject
Language
eng
Summary
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Dayal, Vikram
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
1rPt654kyI4
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
Series statement
  • SpringerBriefs in Economics,
  • Springer eBooks.
http://library.link/vocab/subjectName
  • Econometrics
  • Statistics
  • Computer simulation
  • Artificial intelligence
Label
An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-81-322-2340-5
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1. Introduction -- Chapter 2. R and RStudio -- Chapter 3. Getting data into R -- Chapter 4. Supply and demand -- Chapter 5. Functions -- Chapter 6. The Cobb-Douglas Function -- Chapter 7. Matrices -- Chapter 8. Statistical simulation -- Chapter 9. Anscombe's quartet: graphs can reveal -- Chapter 10. Carbon and forests: graphs and regression -- Chapter 11. Evaluating training -- Chapter 12. The Solow growth model -- Chapter 13. Simulating random walks and shing cycles -- Chapter 14. Basic time series
Control code
978-81-322-2340-5
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (XV, 109 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9788132223405
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-81-322-2340-5
Other physical details
79 illustrations, 9 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)905224115
Label
An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-81-322-2340-5
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1. Introduction -- Chapter 2. R and RStudio -- Chapter 3. Getting data into R -- Chapter 4. Supply and demand -- Chapter 5. Functions -- Chapter 6. The Cobb-Douglas Function -- Chapter 7. Matrices -- Chapter 8. Statistical simulation -- Chapter 9. Anscombe's quartet: graphs can reveal -- Chapter 10. Carbon and forests: graphs and regression -- Chapter 11. Evaluating training -- Chapter 12. The Solow growth model -- Chapter 13. Simulating random walks and shing cycles -- Chapter 14. Basic time series
Control code
978-81-322-2340-5
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (XV, 109 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9788132223405
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-81-322-2340-5
Other physical details
79 illustrations, 9 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)905224115

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