عنوان

R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

Number

LA90b2f5xh

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

General Material Designation

[Article]

First Statement of Responsibility

Baumer, Ben; Cetinkaya-Rundel, Mine; Bray, Andrew; Loi, Linda; Horton, Nicholas J.

Text of Note

Nolan and Temple Lang argue that "the ability to express statistical computations is an es- sential skill." A key related capacity is the ability to conduct and present data analysis in a way that another person can understand and replicate. The copy-and-paste workflow that is an artifact of antiquated user-interface design makes reproducibility of statistical analysis more difficult, especially as data become increasingly complex and statistical methods become increasingly sophisticated. R Markdown is a new technology that makes creating fully-reproducible statistical analysis simple and painless. It provides a solution suitable not only for cutting edge research, but also for use in an introductory statistics course. We present experiential and statistical evidence that R Markdown can be used effectively in introductory statistics courses, and discuss its role in the rapidly-changing world of statistical computation.

Date of Publication

2014

Title

Technology Innovations in Statistics Education

Volume Number

8/1

Entry Element

Baumer, Ben; Cetinkaya-Rundel, Mine; Bray, Andrew; Loi, Linda; Horton, Nicholas J.

Electronic name

[Article]

275578

a

Y