Man pages for pablo14/funModeling
Exploratory Data Analysis and Data Preparation Tool-Box
| auto_grouping | Reduce cardinality in categorical variable by automatic... |
| categ_analysis | Profiling analysis of categorical vs. target variable |
| compare_df | Compare two data frames by keys |
| concatenate_n_vars | Concatenate 'N' variables |
| convert_df_to_categoric | Convert every column in a data frame to character |
| coord_plot | Coordinate plot |
| correlation_table | Get correlation against target variable |
| cross_plot | Cross-plotting input variable vs. target variable |
| data_country | People with flu data |
| data_golf | Play golf |
| data_integrity | Data integrity |
| data_integrity_model | Check data integrity model |
| desc_groups | Profiling categorical variable |
| desc_groups_rank | Profiling categorical variable (rank) |
| df_status | Get a summary for the given data frame (o vector). |
| discretize_df | Discretize a data frame |
| discretize_get_bins | Get the data frame thresholds for discretization |
| discretize_rgr | Variable discretization by gain ratio maximization |
| entropy_2 | Computes the entropy between two variables |
| equal_freq | Equal frequency binning |
| export_plot | Export plot to jpeg file |
| fibonacci | Fibonacci series |
| freq | Frequency table for categorical variables |
| funModeling-package | funModeling: Exploratory data analysis, data preparation and... |
| gain_lift | Generates lift and cumulative gain performance table and plot |
| gain_ratio | Gain ratio |
| get_sample | Sampling training and test data |
| hampel_outlier | Hampel Outlier Threshold |
| heart_disease | Heart Disease Data |
| infor_magic | Computes several information theory metrics between two... |
| information_gain | Information gain |
| metadata_models | Metadata models data integrity |
| plotar | Correlation plots |
| plot_num | Plotting numerical data |
| prep_outliers | Outliers Data Preparation |
| profiling_num | Profiling numerical data |
| range01 | Transform a variable into the [0-1] range |
| status | Get a summary for the given data frame (o vector). |
| tukey_outlier | Tukey Outlier Threshold |
| var_rank_info | Importance variable ranking based on information theory |
| v_compare | Compare two vectors |
