Man pages for elpidiofilho/labgeo
Collection of functions to fit models with emphasis in land use and soil mapping
| abbrev_colnames | Abbreviate column names |
| balanced_sample | balanced sample |
| band_ratio | band_ratio |
| band_ratio_to_raster | band_ratio_to_Raster |
| caret_models | caret models |
| classification | classification |
| clean_names | Clean columns names |
| comma_to_point | Convert comma to point |
| create_folds_poligon | This function creates folds for samples collected in the form... |
| dataframe_to_raster | dataframe_to_raster |
| data_preparation | This function preprare data to analisys using vtreat library |
| data_preparation_categoric | This function preprare data categoric to analisys using... |
| decision_plot | decisionplot dimension reduction |
| descriptive_stat_polygon | Descriptive statistics polygon |
| df_predict_to_raster | This function creates a raster as a result of predicting an... |
| easy_fit | This function performs the training of the chosen models to a... |
| eliminate_symbol | eliminate symbols from string |
| extract_data_point | extract_data_point |
| extract_data_polygon | extract_data_polygon |
| factor_detect | factor_detect |
| factor_to_dummy | convert factor to dummy variables |
| fold_poligon | fold poligon - separete samples of whole polygons to cross... |
| getdist_rectangle | calculates distance from points |
| grid_dist_rasterize | Grid Distance rasterize |
| group_rare_levels | Group rare levels of a factor variable |
| high_correlation | high_correlation |
| hms_span | hms difrence time |
| kriga | kriga - Automatric krige |
| moda_median | moda_median |
| model_performance | Model_Performance |
| model_tags | models tags |
| na_count | na_count |
| non_linear_correl | non_linear_correl |
| null_model | fit null model |
| numeric_to_factor | Numeric to Factor |
| pipe | re-export magrittr pipe operator |
| plot_confusion_matrix | Plot Confusion Matrix |
| plot_predict_observed_residual | Plot predict observed and residual |
| point_to_camel | point to camel |
| pred_acc | Calculate statiscs of accuracy to regression models |
| predict_big_raster | predict big raster |
| predict_stack_to_map | predict stack to map |
| predict_stack_to_map_parallel | predict stack to map parallel |
| predict_to_map | predict to map |
| rasterize_coordinates | Rasterize coordinates |
| recursive_feature_elimination | Recursive Feature Elimination |
| regression | This function performs the training of the chosen regressor |
| remove_accentuation | Remove acentuation |
| remove_extra_spaces | Remove extra spaces |
| remove_first_symbol | Remove first symbol |
| remove_var_na | Remove Columns with too many NA values |
| rfe_result | Recursive Feature Elimination plot results |
| roi | Create polygon of Region of Interest (ROI) code by Jeffrey... |
| run_models | Run Models |
| run_models_performance | Run Models Performance |
| save_gggraphics | Save ggplot graphics |
| selec_rfe_tolerance | selected features by rfe with tolerance |
| select_model | select model by tag |
| spaceless | spaceless |
| space_to_symbol | space to symbol |
| to_factor | Convert variables to factor |
| to_table | transform a vector of strings in a table do be printed |
| train_test | train test split |
| train_validation_perfil | Separete Train and test samples whit group variable |
| train_validation_poligon | This function performs the separation of training samples and... |
| unique_count | unique_count |
| until_now | time until now |
