merge_data_tables

Merge two data.table objects. If there are any duplicated
ID values and column names across the two data tables, the
cell values in the first data.table will remain intact and
the cell values in the second data.table will be discarded for the
resulting merged data table.

Conduct numerous exploratory analyses in an instant with a
point-and-click interface. With one simple command, this tool
launches a Shiny App on the local machine. Drag and drop variables
in a data set to categorize them as possible independent,
dependent, moderating, or mediating variables. Then run dozens
(or hundreds) of analyses instantly to uncover any statistically
significant relationships among variables. Any relationship
thus uncovered should be tested in follow-up studies.
This tool is designed only to facilitate exploratory
analyses and should NEVER be used for p-hacking. Many of
the functions used in this package are previous versions of functions
in the R Packages 'kim' and 'ezr'.
Selected References:
Chang et al. (2021) <https://CRAN.R-project.org/package=shiny>.
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Kim (2023) <https://jinkim.science/docs/kim.pdf>.
Kim (2021) <doi:10.5281/zenodo.4619237>.
Kim (2020) <https://CRAN.R-project.org/package=ezr>.
Simmons et al. (2011) <doi:10.1177/0956797611417632>
Tingley et al. (2019) <https://CRAN.R-project.org/package=mediation>.
Wickham et al. (2020) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

exploratory

A Tool for Large-Scale Exploratory Analyses

merge_data_tables function

<dl><dt>dt1</dt>
<dd>the first data.table which will remain intact</dd>
<dt>dt2</dt>
<dd>the second data.table which will be joined outside of
(around) the first data.table. If there are any duplicated
ID values and column names across the two data tables, the
cell values in the first data.table will remain intact and
the cell values in the second data.table will be discarded for the
resulting merged data table.</dd>
<dt>id</dt>
<dd>name of the column that will contain the ID values
in the two data tables. The name of the ID column must be identical
in the two data tables.</dd>
<dt>silent</dt>
<dd>If <code>silent = TRUE</code>, no message will be printed
regarding how many ID values and column names were duplicated.
If <code>silent = FALSE</code>, messages will be printed regarding
how many ID values and column names were duplicated. (default = FALSE)</dd></dl>

Arguments

Merge data tables — merge_data_tables

<dl>

<dt>dt1</dt>
<dd>the first data.table which will remain intact</dd>


<dt>dt2</dt>
<dd>the second data.table which will be joined outside of
(around) the first data.table. If there are any duplicated
ID values and column names across the two data tables, the
cell values in the first data.table will remain intact and
the cell values in the second data.table will be discarded for the
resulting merged data table.</dd>


<dt>id</dt>
<dd>name of the column that will contain the ID values
in the two data tables. The name of the ID column must be identical
in the two data tables.</dd>


<dt>silent</dt>
<dd>If <code>silent = TRUE</code>, no message will be printed
regarding how many ID values and column names were duplicated.
If <code>silent = FALSE</code>, messages will be printed regarding
how many ID values and column names were duplicated. (default = FALSE)</dd>

</dl>

merge_data_tables: Merge data tables

Description

Usage

Value

Arguments

Examples