add_model_predictions   Add predictions to the data set. A dplyr
                        compatible way to add predictions to a data
                        set.
add_model_residuals     Add model residuals
agg_by_group            A convenient way to perform grouped operations
drop_non_numeric        Drops non numeric columns from a data.frame
                        object
extract_model_info      Extract important model attributes
fit_model               Fit and predict in a single function.
fit_models              Fit several models with different response
                        variables
get_data_Stats          A pipe friendly way to get summary stats for
                        exploratory data analysis
get_exponent            Get the exponent of any number or numbers
get_mode                A convenience function that returns the mode
get_this                Helper function to easily access elements
get_var_corr            Get correlations between variables
get_var_corr_           Get correlations for combinations
multi_model_1           Simultaneously train and predict on new data.
multi_model_2           Fit and predict in one function
na_replace              Replace missing values
na_replace_grouped      Replace NAs by group
plot_corr               Plot a correlations matrix
report_model            Create a simplified report of a model's summary
rowdiff                 Get row differences between values
select_col              A convenient selector gadget
select_percentile       Get the row corresponding to a given percentile
yields                  Plant yields
