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{
    "pk": 1762,
    "title": "R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics",
    "subtitle": null,
    "abstract": "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.",
    "language": "en",
    "license": null,
    "keywords": [
        {
            "word": "statistics, computation, reproducibility, R, data analysis"
        }
    ],
    "section": "Technology Innovations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/90b2f5xh",
    "frozenauthors": [
        {
            "first_name": "Ben",
            "middle_name": "",
            "last_name": "Baumer",
            "name_suffix": "",
            "institution": "Smith College",
            "department": "None"
        },
        {
            "first_name": "Mine",
            "middle_name": "",
            "last_name": "Cetinkaya-Rundel",
            "name_suffix": "",
            "institution": "Duke University",
            "department": "None"
        },
        {
            "first_name": "Andrew",
            "middle_name": "",
            "last_name": "Bray",
            "name_suffix": "",
            "institution": "Smith College",
            "department": "None"
        },
        {
            "first_name": "Linda",
            "middle_name": "",
            "last_name": "Loi",
            "name_suffix": "",
            "institution": "Smith College",
            "department": "None"
        },
        {
            "first_name": "Nicholas",
            "middle_name": "J.",
            "last_name": "Horton",
            "name_suffix": "",
            "institution": "Amherst College",
            "department": "None"
        }
    ],
    "date_submitted": "2013-10-23T22:26:34Z",
    "date_accepted": "2013-10-23T22:26:34Z",
    "date_published": "2014-02-25T15:58:06Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "",
            "type": "",
            "path": "https://journalpub.escholarship.org/tise/article/1762/galley/1226/download/"
        }
    ]
}