serialized_data_to_dfs

In an object imported from YAML or JSON, convert some elements to dataframes

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'.

Gjalt-Jorn Peters

preregr

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

serialized_data_to_dfs function

<dl><dt>x</dt>
<dd>The just imported (pre)registration specification</dd></dl>

Arguments

In an object imported from YAML or JSON, convert some elements to dataframes — serialized_data_to_dfs

<dl>

<dt>x</dt>
<dd>The just imported (pre)registration specification</dd>

</dl>

serialized_data_to_dfs: In an object imported from YAML or JSON, convert some elements to dataframes

Description

Usage

Value

Arguments