close

Showing 4 of total 4 results (show query)

cran

XML:Tools for Parsing and Generating XML Within R and S-Plus

Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".

Maintained by CRAN Team. Last updated 3 months ago.

libxml2

3 stars 8.87 score 1.3k dependents

cran

preregr:Specify (Pre)Registrations and Export Them Human- And Machine-Readably

Preregistrations, or more generally, registrations, enable explicit timestamped and (often but not necessarily publicly) frozen documentation of plans and expectations as well as decisions and justifications. In research, preregistrations are commonly used to clearly document plans and facilitate justifications of deviations from those plans, as well as decreasing the effects of publication bias by enabling identification of research that was conducted but not published. Like reporting guidelines, (pre)registration forms often have specific structures that facilitate systematic reporting of important items. The 'preregr' package facilitates specifying (pre)registrations in R and exporting them to a human-readable format (using R Markdown partials or exporting to an 'HTML' file) as well as human-readable embedded data (using 'JSON'), as well as importing such exported (pre)registration specifications from such embedded 'JSON'.

Maintained by Gjalt-Jorn Peters. Last updated 2 years ago.

3.98 score

tconwell

html5:Creates Valid HTML5 Strings

Generates valid HTML tag strings for HTML5 elements documented by Mozilla. Attributes are passed as named lists, with names being the attribute name and values being the attribute value. Attribute values are automatically double-quoted. To declare a DOCTYPE, wrap html() with function doctype(). Mozilla's documentation for HTML5 is available here: <https://developer.mozilla.org/en-US/docs/Web/HTML/Element>. Elements marked as obsolete are not included.

Maintained by Timothy Conwell. Last updated 2 years ago.

1 stars 3.65 score 1 scripts 3 dependents

cran

justifier:Human and Machine-Readable Justifications and Justified Decisions Based on 'YAML'

Leverages the 'yum' package to implement a 'YAML' ('YAML Ain't Markup Language', a human friendly standard for data serialization; see <https:yaml.org>) standard for documenting justifications, such as for decisions taken during the planning, execution and analysis of a study or during the development of a behavior change intervention as illustrated by Marques & Peters (2019) <doi:10.17605/osf.io/ndxha>. These justifications are both human- and machine-readable, facilitating efficient extraction and organisation.

Maintained by Gjalt-Jorn Peters. Last updated 2 years ago.

3.18 score

: