summary.psHarmonize

Functions which facilitate harmonization of data from multiple
different datasets. Data harmonization involves taking data sources with
differing values, creating coding instructions to create a harmonized
set of values, then making those data modifications. 'psHarmonize' will
assist with data modification once the harmonization instructions are
written. Coding instructions are written by the user to create a
"harmonization sheet". This sheet catalogs variable names, domains
(e.g. clinical, behavioral, outcomes), provides R code instructions for
mapping or conversion of data, specifies the variable name in the
harmonized data set, and tracks notes. The package will then harmonize
the source datasets according to the harmonization sheet to create a
harmonized dataset. Once harmonization is finished, the package also has
functions that will create descriptive statistics using 'RMarkdown'. Data
Harmonization guidelines have been described by Fortier I, Raina P,
Van den Heuvel ER, et al. (2017) <doi:10.1093/ije/dyw075>. Additional
details of our R package have been described by Stephen JJ, Carolan P,
Krefman AE, et al. (2024) <doi:10.1016/j.patter.2024.101003>.

John Stephen

psHarmonize

Creates a Harmonized Dataset Based on a Set of Instructions

Maxwell Mansolf

summary.psHarmonize function

<dl><dt>object</dt>
<dd>psHarmonize object</dd>
<dt>...</dt>
<dd>Can provide additional arguments</dd>
<dt>verbose</dt>
<dd>T/F. When TRUE, will list variables for each section.</dd></dl>

Arguments

psHarmonize summary method — summary.psHarmonize

<dl>

<dt>object</dt>
<dd>psHarmonize object</dd>


<dt>...</dt>
<dd>Can provide additional arguments</dd>


<dt>verbose</dt>
<dd>T/F. When TRUE, will list variables for each section.</dd>

</dl>

summary.psHarmonize: psHarmonize summary method

Description

Usage

Value

Arguments

Examples