readPickle

Restore R data.frame from a Python pickle file.

Tools, methods and processes for the management
of analysis workflows. These lightweight solutions facilitate
structuring R&D activities. These solutions were developed to comply
with Good Documentation Practice (GDP),
with ALCOA+ principles as proposed by the U.S. FDA, and
with FAIR principles as discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>.

Gregoire Thomas

D4TAlink.light

GDP - Workflow Management

readPickle function

<dl><dt>task</dt>
<dd>Object of class <code>D4TAlinkTask</code>, as created by <code>initTask</code>.</dd>
<dt>type</dt>
<dd>Filename type. If the type is an array, the cocatenation of the elements is used with separator"-". Filenames have the form [task name]_[type].[ext]</dd>
<dt>subdir</dt>
<dd>(optional) Subdirectory.</dd>
<dt>dirCreate</dt>
<dd>Logical, if TRUE (by default) the directory is created.</dd>
<dt>quiet</dt>
<dd>issue warning if file does not exists.</dd></dl>

Arguments

Restore R data.frame from a Python pickle file. — readPickle

<dl>

<dt>task</dt>
<dd>Object of class <code>D4TAlinkTask</code>, as created by <code>initTask</code>.</dd>


<dt>type</dt>
<dd>Filename type. If the type is an array, the cocatenation of the elements is used with separator"-". Filenames have the form [task name]_[type].[ext]</dd>


<dt>subdir</dt>
<dd>(optional) Subdirectory.</dd>


<dt>dirCreate</dt>
<dd>Logical, if TRUE (by default) the directory is created.</dd>


<dt>quiet</dt>
<dd>issue warning if file does not exists.</dd>

</dl>

readPickle: Restore R data.frame from a Python pickle file.

Description

Usage

Value

Arguments