عنوان

R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

شماره

LA90b2f5xh

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

نام عام مواد

[Article]

نام نخستين پديدآور

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

متن يادداشت

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.

تاريخ نشر

2014

عنوان

Technology Innovations in Statistics Education

شماره جلد

8/1

عنصر شناسه اي

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

نام الکترونيکي

نوع ماده

[Article]

کد کاربرگه

275578

سطح دسترسي

a

تكميل شده

Y