Man pages for tfglynn/sdsu-research-code
What the package does (short line)
| c4.5 | Get confusion matrix of C4.5 model |
| c4.5_accuracy | Get accuracy of C4.5 model |
| cancer_dataset | Wisconsin breast cancer data set |
| chess_dataset | King-rook vs king-pawn data set |
| cv_experiment | Estimate the accuracy of models on a dataset using... |
| cv_lr_experiment | Repeat the CV experiment for logistic regression with... |
| estimate_accuracies | Estimate the accuracy of models on a dataset |
| hypothyroid_dataset | Thyroid disease data set |
| inversions | Count order inversions |
| mushroom_dataset | Mushroom data set |
| my_dataset_list | Data sets used in the Kohavi replication experiments |
| my_fold_counts | Fold counts used in the Kohavi replication experiments |
| my_model_list | Models used in the Kohavi replication experiments |
| new_bar | Make a new progress bar |
| nn_experiment | Investigate how quickly a k-nearest-neighbor classifier... |
| readable | Check if a file can be read |
| read_saved_data | Read R data from the right directory |
| run_nn_experiment | Repeat the k-nearest-neighbor experiment with various... |
| save_data | Save R data to the right directory |
| savepath | Get the appropriate path to save R data |
| simulate_data_type_1 | Simulate a dataset (type 1) |
| simulate_data_type_2 | Simulate a dataset (type 2) |
| tick | Advance the progress bar |
