Package index • sampcompR

All functions

R_indicator(): Calculate the R-Indicator

biv_bias_per_variable(): Returns a table based on the information of a biv_compare_object that indicates the Average Absolute Bias (AARB) in Pearson's r or the Average Absolute Relative Bias (AARB) in Pearson's r for every data frame It can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.

biv_compare(): Compare Multiple Data Frames on a Bivariate Level

biv_compare_table(): Returns a table based on the information of a biv_compare_object which can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.

biv_per_variable(): Returns a table based on the information of a biv_compare_object that indicates the proportion of biased variables. It can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.

card: card

dataequalizer(): Equalize dataframes

descriptive_table(): Get a Descriptive Table for Every Data Frame

heatmap_biv_compare(): Plot Difference or Relative Difference in Pearson's r for Multiple Data Frames

missing_table(): Returns a Table indicating the number and proportion of NA values for a selected set of variables.

multi_compare(): Compares data frames using different regression methods.

multi_compare_merge(): Combine multi_compare_objects

multi_compare_table(): Create an Output-Table of a multi_compare_object

multi_per_variable(): Returns a table based on the information of a multi_compare_object that indicates the proportion of biased variables. It can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.

plot_biv_compare(): Plot Comparison of Multiple Data Frames on a Bivariate Level

plot_multi_compare(): Plot Multiple multi_compare_objects

plot_uni_compare(): plot univar data

sampcompR: sampcompR: A package for the comparison of samples

uni_compare(): Compare data frames and Plot Differences

uni_compare_table(): Create an Output-Table of a uni_compare_object