A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data-Reference-Cited by-同舟云学术

A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data

Published:2020-01-01 Issue:3 Volume:29 Page:466-478
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Wang Earo¹²³^ORCID,Cook Dianne¹,Hyndman Rob J.¹

Affiliation:

1. Department of Econometrics and Business Statistics, Monash University, Clayton, VIC, Australia;

2. CSIRO Data61, South Clayton, VIC, Australia

3. Department of Statistics, The University of Auckland, Auckland, New Zealand

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2019.1695624

Reference50 articles.

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2. Bengtsson, H. (2019), “future: Unified Parallel and Distributed Processing in R for Everyone,” R Package Version 1.11.1.1, available at https://CRAN.R-project.org/package=future.

3. Bureau of Meteorology (2019), “Australia’s National Weather Data,” Australian Government, Bureau of Meteorology, available at https://data.gov.au/dataset/4e21dea3-9b87-4610-94c7-15a8a77907ef.

4. Bureau of Transportation Statistics (2018), “Carrier On-Time Performance,” Washington, DC, available at https://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=236.

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