Dynamic Graphics and Reporting for Statistics

dc.contributor.advisor Dianne Cook
dc.contributor.advisor Heike Hofmann
dc.contributor.author Xie, Yihui
dc.contributor.department Statistics
dc.date 2018-08-11T13:48:12.000
dc.date.accessioned 2020-06-30T02:50:17Z
dc.date.available 2020-06-30T02:50:17Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2013
dc.date.embargo 2015-07-30
dc.date.issued 2013-01-01
dc.description.abstract <p>Statistics as a scientific discipline has a dynamic nature, which can be</p> <p>observed in many statistical algorithms and theories as well as in data</p> <p>analysis. For example, asymptotic theories in statistics are inherently</p> <p>dynamic: they describe how a statistic or an estimator behaves as the sample</p> <p>size increases. Data analysis is almost never a static process. Instead, it</p> <p>is an iterative process involving cleaning, describing, modeling, and</p> <p>re-cleaning the data. Reports may end up being re-written due to changes in</p> <p>the data and analysis.</p> <p>This thesis consists of three parts, addressing the dynamic aspects of</p> <p>statistics and data analysis. In the first part, we show how to explain the</p> <p>ideas behind some statistical methods using animations, followed by an</p> <p>introduction to the design and functionality of the animation package. In</p> <p>the second part, we discuss the design of an interactive statistical</p> <p>graphics system, with an emphasis on the reactive programming paradigm and</p> <p>its connection with the data infrastructure in R, as utilized in the cranvas</p> <p>package. In the third part, we provide a solution to statistical reporting,</p> <p>which is implemented in the knitr package, making use of literate</p> <p>programming. It frees us from the traditional approach of cut-and-paste, and</p> <p>provides a seamless integration of computing and reporting that enhances</p> <p>reproducible research. Demos and examples were given along with the</p> <p>discussion.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/13518/
dc.identifier.articleid 4525
dc.identifier.contextkey 5050358
dc.identifier.doi https://doi.org/10.31274/etd-180810-3256
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/13518
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/27705
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/13518/Xie_iastate_0097E_13881.pdf|||Fri Jan 14 19:54:49 UTC 2022
dc.subject.disciplines Computer Sciences
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Dynamic document
dc.subject.keywords Interactive graphics
dc.subject.keywords Reactive programming
dc.subject.keywords Reproducible research
dc.subject.keywords R language
dc.subject.keywords Statistical animation
dc.title Dynamic Graphics and Reporting for Statistics
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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