Man pages for Stat-Cook/NURS.Data.Quality
| apply_to_dataframe | Apply a function to every variable of a data frame. |
| average_missing | Dataframe function - measure the average rate of missingness... |
| average_missing_heuristic | Check if missing data rate is less than set limit. |
| blank_result | Generate a blank result vector from a data frame |
| build_model | Constuct model via 'caret' call |
| compare | Apply a comparison function to a column of data |
| compare_classes | Checks if there are enough examples for the number of classes... |
| compare_frame_classes | Check each variable of a data frame to determine if there are... |
| compare_frame_frequencies | Tests all variables in a data frame to check values aren't... |
| compare_frequencies | Vector function - check that no single value of a variable is... |
| compare_functions | Determines which function to use for validation |
| encode_values | Perform a label encoding on a categorical varaible. |
| is.missing | Vector function - identify which values are 'missing' |
| missing_mine | Analyze each column of a data set that has missing values for... |
| model_roc | Calculates model quality via ROC AUC. |
| mutual_info | Calculate mutual information between pairs of variables in a... |
| prepare_data | Dummy data and impute missing values for supplied data set,... |
| sqrt_comparison | Function for comparing two values. |
