dataequalizer

<code>dataequalizer</code> compares two data frames and looks if both data frames contain columns
with the same Name. A copy of source_df is returned, containing only columns named identical
in target_df and source_df data frames. The function is mainly used in the other functions of the package.

Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Population Benchmarks. Sociological Methodology <doi:10.1177/00811750241280963>.

Bjoern Rohr

sampcompR

Comparing and Visualizing Differences Between Surveys

Barbara Felderer

dataequalizer function

<dl><dt>target_df</dt>
<dd>A data frame</dd>
<dt>source_df</dt>
<dd>A data frame containing some column-names named equally in target_df</dd>
<dt>variables</dt>
<dd>A vector to indicate variable names that should be in the copy of the source_df
if they are also in the target_df.</dd>
<dt>silence</dt>
<dd>A logic value. If FALSE, warnings will be returned indicating, what variables where removed,
from the survey.</dd></dl>

Arguments

Equalize dataframes — dataequalizer

<dl>

<dt>target_df</dt>
<dd>A data frame</dd>


<dt>source_df</dt>
<dd>A data frame containing some column-names named equally in target_df</dd>


<dt>variables</dt>
<dd>A vector to indicate variable names that should be in the copy of the source_df
if they are also in the target_df.</dd>


<dt>silence</dt>
<dd>A logic value. If FALSE, warnings will be returned indicating, what variables where removed,
from the survey.</dd>

</dl>

dataequalizer: Equalize dataframes

Description

Usage

Value

Arguments

Examples