sampcompR: A package for the comparison of samples

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. Visualization is based on ggplot and can be edited as other plots of ggplot afterwards. 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 Non-Probability Surveys with Population Benchmarks“ https://doi.org/10.31235/osf.io/n6ehf.

sampcompR functions

uni_compare: Compare Datasets Univariate and Plot Differences
plot_uni_compare: Plot uni_compare objects
uni_compare_table: Get a table output of a uni_compare object
R_indicator: Calculate the R_indicator for several surveys
biv_compare: Compare Datasets Bivariate and Plot Differences
plot_biv_compare: Plot biv_compare objects
biv_compare_table: Get a table output of a biv_compare object
multi_compare: Compare two Datasets on a Multivariate Level (Any GLM Model)
plot_multi_compare: Plot multi_compare objects
multi_compare_table: Get a table output of multi_compare objects
multi_compare_merge: Combine two multi_compare objects, to plot them together
descriptive_table: Get a Descriptive Table for Every Data Frame
dataequalizer: Equalize dataframes

uni_compare function

uni_compare Returns data or a plot showing the difference of two or more data frames The differences are calculated on the base of differing metrics, chosen in the funct argument. Results can be visualized using plot_uni_compare.

biv_compare function

biv_compare Returns data or heatmap of difference between two or more data frames, by comparing their correlation matrices. The comparison is based on Pearson's r, calculated using the rcorr function. Results can be visualized using plot_biv_compare.

multi_compare function

multi_compare Returns data of difference between two data frames on a multivariate level. Similar (multivariate) regression models are compared between the surveys. Only GLM models are possible. Results can be visualized using plot_multi_compare.

dataequalizer function

dataequalizer compares two data frames and looks if data frames contain columns with the same name. A copy of y is returned, containing only columns named identical in x and y data frames. The function is mainly used in the other functions of the package.

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