The Resource An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic book)
An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic book)
Resource Information
The item An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
 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 CobbDouglas 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
 Language
 eng
 Extent
 XV, 109 p. 79 illus., 9 illus. in color.
 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 CobbDouglas 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
 Isbn
 9788132223405
 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
 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 CobbDouglas 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
 Cataloging source
 DEHe213
 http://library.link/vocab/creatorName
 Dayal, Vikram
 Dewey number
 330.015195
 Image bit depth
 0
 LC call number
 HB139141
 Literary form
 non fiction
 Series statement
 SpringerBriefs in Economics,
 http://library.link/vocab/subjectName

 Economics
 Electronic data processing
 Computer simulation
 Mathematical statistics
 Economics
 Econometrics
 Label
 An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic book)
 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 CobbDouglas 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
 9788132223405
 Dimensions
 unknown
 Extent
 XV, 109 p. 79 illus., 9 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9788132223405
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9788132223405
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Reproduction note
 Electronic resource.
 Specific material designation
 remote
 Label
 An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic book)
 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 CobbDouglas 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
 9788132223405
 Dimensions
 unknown
 Extent
 XV, 109 p. 79 illus., 9 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9788132223405
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9788132223405
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Reproduction note
 Electronic resource.
 Specific material designation
 remote
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/AnIntroductiontoRforQuantitativeEconomics/tGYMMx6rzlo/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/AnIntroductiontoRforQuantitativeEconomics/tGYMMx6rzlo/">An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing, by Vikram Dayal, (electronic book)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>