regressoR v1.1.7
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Regression Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Functions in regressoR
| Name | Description | |
| colnames_empty | colnames_empty | |
| combine_names | combine_names | |
| default_disp | default_disp | |
| disjunctive_data | disjunctive_data | |
| code_load | code_load | |
| code_summary | code_summary | |
| comparative_table | comparative_table | |
| cor_model | cor_model | |
| labelInput | labelInput | |
| dt_model | dt_model | |
| disp_models | disp_models | |
| code_deactivate | code_deactivate | |
| error_plot | error_plot | |
| new_report | new_report | |
| len_report | len_report | |
| gg_color_hue | gg_color_hue | |
| new_section_report | new_section_report | |
| def_code_num | def_code_num | |
| code_field | code_field | |
| importance_plot_rf | importance_plot_rf | |
| dt_plot | dt_plot | |
| inputRadio | inputRadio | |
| boosting_importance_plot | boosting_importance_plot | |
| code_transf | code_transf | |
| rd_model | rd_model | |
| options_regressor | options_regressor | |
| insert_report | insert_report | |
| order_report | order_report | |
| plot_pred_rd | plot_pred_rd | |
| plot_real_prediction | plot_real_prediction | |
| error_variables | error_variables | |
| rl_prediction | rl_prediction | |
| rd_prediction | rd_prediction | |
| rlr_model | rlr_model | |
| default_calc_normal | default_calc_normal | |
| dt_prediction | dt_prediction | |
| get_env_report | get_env_report | |
| coef_lambda | coef_lambda | |
| rf_prediction | rf_prediction | |
| rlr_prediction | rlr_prediction | |
| rf_model | rf_model | |
| summary_indices | summary_indices | |
| var_numerical | var_numerical | |
| svm_model | svm_model | |
| kkn_model | kkn_model | |
| get_report | get_report | |
| general_indices | general_indices | |
| fisher_calc | fisher_calc | |
| kkn_prediction | kkn_prediction | |
| new_col | new_col | |
| nn_prediction | nn_prediction | |
| models_mode | models_mode | |
| nn_model | nn_model | |
| correlations_plot | correlations_plot | |
| normal_default | normal_default | |
| word_report | word_report | |
| rlr_type | rlr_type | |
| plot_var_pred_rd | plot_var_pred_rd | |
| nn_plot | nn_plot | |
| exe | exe | |
| def_code_cat | def_code_cat | |
| partition_code | partition_code | |
| pairs_power | pairs_power | |
| extract_code | extract_code | |
| render_table_data | render_table_data | |
| translate | translate | |
| tb_predic | tb_predic | |
| render_index_table | render_index_table | |
| radioButtonsTr | radioButtonsTr | |
| remove_report_elem | remove_report_elem | |
| rd_type | rd_type | |
| infoBoxPROMiDAT | infoBoxPROMiDAT | |
| init_regressor | This function will start regressoR | |
| numerical_distribution | numerical_distribution | |
| plot_RMSE | plot_RMSE | |
| numerical_summary | numerical_summary | |
| plot_coef_lambda | plot_coef_lambda | |
| tabsOptions | tabsOptions | |
| rl_model | rl_model | |
| rl_coeff | rl_coeff | |
| svm_prediction | svm_prediction | |
| var_categorical | var_categorical | |
| validate_pn_data | validate_pn_data | |
| clean_report | clean_report | |
| boosting_prediction | boosting_prediction | |
| categorical_distribution | categorical_distribution | |
| calibrate_boosting | calibrate_boosting | |
| categorical_summary | categorical_summary | |
| code_NA | code_NA | |
| chunk | chunk | |
| boosting_model | boosting_model | |
| as_string_c | as_string_c | |
| No Results! | ||
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Details
| Type | Package |
| License | GPL (>= 2) |
| Encoding | UTF-8 |
| LazyData | true |
| URL | http://www.promidat.com |
| RoxygenNote | 6.1.1 |
| NeedsCompilation | no |
| Packaged | 2019-06-05 14:58:05 UTC; promidat04 |
| Repository | CRAN |
| Date/Publication | 2019-06-11 17:20:04 UTC |
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