| analyze_rf | Analyze Random Forest |
| append_dollar_sign | Append Dollar Sign |
| batch_it | Execute a function in batches |
| beep_on_error | Beep on error |
| cap_a_word | Cap a Word |
| cap_a_word_partial | Cap a Word, Partial |
| cap_df | Cap Dataframe |
| cap_it | Cap It |
| collapse_strings | Collapse Strings |
| cut_off_elementwise | Cut Off Elementwise |
| cut_off_vecwise | Cut Off Vecwise |
| disconnect_all | Disconnect All |
| do_cluster | K-Means Cluster |
| droids | dplyr::starwars data filtered down to just the droids |
| find_last_non_na_value | Find last non-NA value |
| find_nums | Contains a Number? |
| get_nn_importance | Get Neural Net Variable Importance |
| get_os | Get current operating system |
| get_rf_importance | Get Random Forest Variable Importance |
| grab_first_word | Grab only the first word from a string. |
| group_equal | Group Equal |
| group_numeric | Group Numeric |
| import_scripts | Import Scripts |
| is_plural | Is this word plural? |
| make_hist | Make a Histogram of a Variable |
| match_maker | Fuzzy Text Matching: element |
| match_maker_full | Fuzzy Text Matching: vector |
| na_to_zero | NA to Zeros |
| na_to_zero_df | NA to Zeros |
| nerdR | But you already knew that |
| not_all_na | Not all NA |
| pipe | Pipe operator |
| prep_clusters | Prep Clusters |
| remove_empty_strings | Remove empty string elements |
| remove_html_tags | Remove HTML tags |
| replace_na_df | Replace NA for a dataframe |
| replace_names | Replace Names |
| replace_x | Replace x |
| run_rf | Run a Random Forest model |
| run_tests | Run Tests |
| set_col_types | Set Column Types |
| simple_cap | Simple Capitalization |
| style_lm | Style a Regression Model Output |
| style_mod | Style glm or lm |
| style_numeric | Style Numeric |
| summarise_points | Trello Point Summary |
| test_it | Test It |
| trim_content | Trim content |
| trim_outliers | Trim Outliers |
| uncap_it | Uncap It |
| z_score | Z-Score a vector |
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