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Applied R in the Classroom
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Zeitschriftentitel: | Australian Economic Review |
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Personen und Körperschaften: | , |
In: | Australian Economic Review, 53, 2020, 1, S. 139-157 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Wiley
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Schlagwörter: |
author_facet |
Long, J. D. Turner, Dusty Long, J. D. Turner, Dusty |
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author |
Long, J. D. Turner, Dusty |
spellingShingle |
Long, J. D. Turner, Dusty Australian Economic Review Applied R in the Classroom Economics and Econometrics |
author_sort |
long, j. d. |
spelling |
Long, J. D. Turner, Dusty 0004-9018 1467-8462 Wiley Economics and Econometrics http://dx.doi.org/10.1111/1467-8462.12362 <jats:title>Abstract</jats:title><jats:p>R, with support from a number of add‐on packages, is an excellent teaching tool that can greatly enhance learning of exploratory data analysis (EDA) and linear regression. This article illustrates using R along with the packages <jats:styled-content>tidyverse</jats:styled-content>, <jats:styled-content>GGally</jats:styled-content>, <jats:styled-content>esquisse</jats:styled-content> and <jats:styled-content>lindia</jats:styled-content> to walk through an example of basic EDA and linear regression that might be used in an introductory class along with code examples for every step. Teaching with R can give learners control of their analysis, lower the intimidating coding barrier, and provide a platform on which to learn modeling and analysis.</jats:p> Applied R in the Classroom Australian Economic Review |
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Australian Economic Review |
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Applied R in the Classroom |
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Applied R in the Classroom |
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Applied R in the Classroom |
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Applied R in the Classroom |
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Applied R in the Classroom |
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Applied R in the Classroom |
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applied r in the classroom |
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Economics and Econometrics |
url |
http://dx.doi.org/10.1111/1467-8462.12362 |
publishDate |
2020 |
physical |
139-157 |
description |
<jats:title>Abstract</jats:title><jats:p>R, with support from a number of add‐on packages, is an excellent teaching tool that can greatly enhance learning of exploratory data analysis (EDA) and linear regression. This article illustrates using R along with the packages <jats:styled-content>tidyverse</jats:styled-content>, <jats:styled-content>GGally</jats:styled-content>, <jats:styled-content>esquisse</jats:styled-content> and <jats:styled-content>lindia</jats:styled-content> to walk through an example of basic EDA and linear regression that might be used in an introductory class along with code examples for every step. Teaching with R can give learners control of their analysis, lower the intimidating coding barrier, and provide a platform on which to learn modeling and analysis.</jats:p> |
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author | Long, J. D., Turner, Dusty |
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container_title | Australian Economic Review |
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description | <jats:title>Abstract</jats:title><jats:p>R, with support from a number of add‐on packages, is an excellent teaching tool that can greatly enhance learning of exploratory data analysis (EDA) and linear regression. This article illustrates using R along with the packages <jats:styled-content>tidyverse</jats:styled-content>, <jats:styled-content>GGally</jats:styled-content>, <jats:styled-content>esquisse</jats:styled-content> and <jats:styled-content>lindia</jats:styled-content> to walk through an example of basic EDA and linear regression that might be used in an introductory class along with code examples for every step. Teaching with R can give learners control of their analysis, lower the intimidating coding barrier, and provide a platform on which to learn modeling and analysis.</jats:p> |
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spelling | Long, J. D. Turner, Dusty 0004-9018 1467-8462 Wiley Economics and Econometrics http://dx.doi.org/10.1111/1467-8462.12362 <jats:title>Abstract</jats:title><jats:p>R, with support from a number of add‐on packages, is an excellent teaching tool that can greatly enhance learning of exploratory data analysis (EDA) and linear regression. This article illustrates using R along with the packages <jats:styled-content>tidyverse</jats:styled-content>, <jats:styled-content>GGally</jats:styled-content>, <jats:styled-content>esquisse</jats:styled-content> and <jats:styled-content>lindia</jats:styled-content> to walk through an example of basic EDA and linear regression that might be used in an introductory class along with code examples for every step. Teaching with R can give learners control of their analysis, lower the intimidating coding barrier, and provide a platform on which to learn modeling and analysis.</jats:p> Applied R in the Classroom Australian Economic Review |
spellingShingle | Long, J. D., Turner, Dusty, Australian Economic Review, Applied R in the Classroom, Economics and Econometrics |
title | Applied R in the Classroom |
title_full | Applied R in the Classroom |
title_fullStr | Applied R in the Classroom |
title_full_unstemmed | Applied R in the Classroom |
title_short | Applied R in the Classroom |
title_sort | applied r in the classroom |
title_unstemmed | Applied R in the Classroom |
topic | Economics and Econometrics |
url | http://dx.doi.org/10.1111/1467-8462.12362 |