Analytics & Machine Learning Sidekick
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Documentation for package ‘lares’ version 5.2.8
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A B C D E F G H I J L M N O P Q R S T U V W X Y Z misc
| lares-package | Analytics, Data Mining & Machine Learning Sidekick |
-- A --
| are_binary | Check if input is_* or are_* |
| are_constant | Check if input is_* or are_* |
| are_id | Check if input is_* or are_* |
| autoline | New Line Feed for Long Strings (Wrapper) |
-- B --
| balance_data | Balance Binary Data by Resampling: Under-Over Sampling |
| bind_files | Bind Files into Dataframe |
| bring_api | Get API (JSON) and Transform into data.frame |
-- C --
| cache_clear | Cache Save and Load (Write and Read) |
| cache_exists | Cache Save and Load (Write and Read) |
| cache_pipe | Cache Save and Load (Write and Read) |
| cache_read | Cache Save and Load (Write and Read) |
| cache_write | Cache Save and Load (Write and Read) |
| categ_reducer | Reduce categorical values |
| check_attr | Validate inputs (attributions, options, ...) |
| check_opts | Validate inputs (attributions, options, ...) |
| chr2date | Check character values for date/numeric/logical and change datatype |
| chr2logical | Check character values for date/numeric/logical and change datatype |
| chr2num | Check character values for date/numeric/logical and change datatype |
| ci_lower | Lower/Upper Confidence Intervals |
| ci_upper | Lower/Upper Confidence Intervals |
| ci_var | Confidence Intervals on Dataframe |
| cleanNames | Clean text strings automatically |
| cleanText | Clean text strings automatically |
| clusterKmeans | Automated K-Means Clustering + PCA/t-SNE |
| clusterOptimalK | Visualize K-Means Clusters for Several K Methods |
| clusterVisualK | Visualize K-Means Clusters for Several K |
| conf_mat | Confussion Matrix |
| corr | Correlation table |
| corr_cross | Ranked cross-correlation across all variables |
| corr_var | Correlation between variable and dataframe |
| cran_logs | Download and plot daily downloads of CRAN packages |
| crosstab | Weighted Cross Tabulation |
-- D --
| daily_portfolio | Build a Personal Investing Portfolio Report |
| daily_stocks | Build a Personal Investing Portfolio Report |
| dalex_explainer | DALEX Explainer for H2O |
| dalex_local | DALEX Local |
| dalex_residuals | DALEX Residuals |
| dalex_variable | DALEX Partial Dependency Plots (PDP) |
| date_cuts | Convert Date into Year + Cut |
| date_feats | One Hot Encoding for Date/Time Variables (Dummy Variables) |
| db_download | Download/Import Dropbox File by File's Name |
| db_upload | Upload Local Files to Dropbox |
| dfr | Results for AutoML Predictions |
| dft | Titanic Dataset |
| df_str | Dataset columns and rows structure |
| dist2d | Distance from specific point to line |
| distr | Compare Variables with their Distributions |
-- E --
| errors | Calculate Continuous Values Errors |
| etf_sector | ETF's Sectors Breakdown |
| export_plot | Export ggplot2, gridExtra, or any plot object into rendered file |
| export_results | Export h2o_automl's Results |
-- F --
| fb_accounts | Facebook Ad Accounts |
| fb_ads | Facebook Ads API |
| fb_creatives | Facebook Creatives API |
| fb_insights | Facebook Insights API |
| fb_process | Paginate and Process Facebook's API Results |
| fb_report_check | Facebook API Report Status Check |
| fb_rf | Facebook Reach and Frequency API |
| fb_token | Facebook's Long-Life User API Token |
| filesGD | Google Drive Files (API v4) |
| files_functions | List all functions used in R script files by package |
| file_name | Extract file raw name and type from file names |
| file_type | Extract file raw name and type from file names |
| font_exists | Check if Font is Installed |
| forecast_arima | ARIMA Forecast |
| formatColoured | Print Coloured Messages |
| formatHTML | Format a string text as markdown/HTML |
| formatNum | Format a string text as markdown/HTML |
| freqs | Frequencies Calculations and Plot |
| freqs_df | Plot for All Frequencies on Dataframe |
| freqs_list | Frequencies on Lists and UpSet Plot |
| freqs_plot | Combined Frequencies Plot for Categorical Features |
-- G --
| gain_lift | Cumulative Gain, Lift and Response |
| gemini_ask | Gemini API Interaction with R |
| gemini_image | Gemini API Interaction with R |
| get_credentials | Load Credentials from a YML File |
| get_creds | Load Credentials from a YML File |
| get_currency | Download Historical Currency Exchange Rate |
| get_mp3 | Download MP3 from URL |
| get_tweets | Get Tweets |
| gg_colour_customs | Custom fill, colour and text colours for ggplot2 |
| gg_fill_customs | Custom fill, colour and text colours for ggplot2 |
| gg_text_customs | Custom fill, colour and text colours for ggplot2 |
| gg_vals | Custom fill, colour and text colours for ggplot2 |
| glued | Interpolate a string [glue wrapper] |
| gpt_ask | ChatGPT API Interaction with R |
| gpt_classify | ChatGPT API Interaction with R |
| gpt_convert | ChatGPT API Interaction with R |
| gpt_extract | ChatGPT API Interaction with R |
| gpt_format | ChatGPT API Interaction with R |
| gpt_history | ChatGPT API Interaction with R |
| gpt_prompter | Structured Prompt Builder for LLM (ChatGPT) |
| gpt_table | ChatGPT API Interaction with R |
| gpt_tag | ChatGPT API Interaction with R |
| gpt_translate | ChatGPT API Interaction with R |
| grepl_letters | Pattern Matching for Letters considering Blanks |
| grepm | Pattern Matching for Any or All Multiple Matches |
| gtrends_related | Google Trends: Related and Time Plots |
| gtrends_time | Google Trends: Related and Time Plots |
-- H --
| h2o_automl | Automated H2O's AutoML |
| h2o_explainer | DALEX Explainer for H2O |
| h2o_predict_API | Calculate predictions of h2o Models |
| h2o_predict_binary | Calculate predictions of h2o Models |
| h2o_predict_model | Calculate predictions of h2o Models |
| h2o_predict_MOJO | Calculate predictions of h2o Models |
| h2o_results | Automated H2O's AutoML Results |
| h2o_selectmodel | Select Model from h2o_automl's Leaderboard |
| h2o_shap | SHAP values for H2O Models |
| haveInternet | Internet Connection Check |
| holidays | Holidays in your Country |
-- I --
| image_metadata | Get Meta Data from Image Files |
| importxlsx | Import Excel File with All Its Tabs |
| impute | Impute Missing Values (using MICE) |
| install_recommended | Install/Update Additional Recommended Libraries |
| ip_data | Scrap data based on IP address |
| is_ip | Check if input is_* or are_* |
| is_url | Check if input is_* or are_* |
| iter_seeds | Iterate Seeds on AutoML |
-- J --
| json2vector | Convert Python JSON string to R vector (data.frame with 1 row) |
-- L --
| lares | Analytics, Data Mining & Machine Learning Sidekick |
| lares-exports | Pipe operator |
| lares_logo | Print lares R library Logo |
| lares_pal | Personal Colours Palette |
| lasso_vars | Most Relevant Features Using Lasso Regression |
| left | Left or Right N characters of a string |
| listfiles | List files in a directory |
| list_cats | List categorical values for data.frame |
| li_auth | OAuth Linkedin |
| li_profile | Get My Personal LinkedIn Data |
| loglossBinary | Logarithmic Loss Function for Binary Models |
-- M --
| mae | Calculate Continuous Values Errors |
| mail_send | Send Emails with Attachments (POST) |
| mape | Calculate Continuous Values Errors |
| markdown2df | Convert markdown string tables to data.frame |
| maze_gridsearch | Maze Solver, inspired by Micromouse competitions |
| maze_solve | Maze Solver, inspired by Micromouse competitions |
| missingness | Calculate and Visualize Missingness |
| model_metrics | Model Metrics and Performance |
| model_preprocess | Automate Data Preprocess for Modeling |
| move_files | Move files from A to B |
| mplot_conf | Confussion Matrix Plot |
| mplot_cuts | Cuts by quantiles for score plot |
| mplot_cuts_error | Cuts by quantiles on absolute and percentual errors plot |
| mplot_density | Density plot for discrete and continuous values |
| mplot_full | MPLOTS Score Full Report Plots |
| mplot_gain | Cumulative Gain Plot |
| mplot_importance | Variables Importances Plot |
| mplot_lineal | Linear Regression Results Plot |
| mplot_metrics | Model Metrics and Performance Plots |
| mplot_response | Cumulative Response Plot |
| mplot_roc | ROC Curve Plot |
| mplot_splits | Split and compare quantiles plot |
| mplot_topcats | Top Hit Ratios for Multi-Classification Models |
| mse | Calculate Continuous Values Errors |
| msplit | Split a dataframe for training and testing sets |
| myip | What's my IP? |
-- N --
| ngrams | Build N-grams and keep most frequent |
| noPlot | Plot Result with Nothing to Plot |
| normalize | Normalize Vector |
| numericalonly | Remove/Drop Columns in which ALL or SOME values are NAs |
| num_abbr | Abbreviate or dis-abbreviate numerical values |
-- O --
| ohe_commas | One Hot Encoding for a Vector with Comma Separated Values |
| ohse | One Hot Smart Encoding (Dummy Variables) |
| outlier_turkey | Outliers: Tukey’s fences |
| outlier_zscore | Outliers: Z-score method |
| outlier_zscore_plot | Outliers: Z-score method plot |
-- P --
| plot.corr_var | Correlation between variable and dataframe |
| plot.h2o_automl | Automated H2O's AutoML |
| plot.h2o_shap | SHAP values for H2O Models |
| plot.robyn_modelselector | Robyn: Model Selection by Weighted Criteria Scores |
| plot.stocks_hist | Download Stocks Historical and Current Values |
| plot.x2y | Ranked Predictive Power of Cross-Features (x2y) |
| plot.x2y_preds | Ranked Predictive Power of Cross-Features (x2y) |
| plot_cats | Plot All Categorical Features (Frequencies) |
| plot_chord | Chords Plot |
| plot_df | Plot Summary of Numerical and Categorical Features |
| plot_nums | Plot All Numerical Features (Boxplots) |
| plot_palette | Plot Palette Colours |
| plot_survey | Visualize Survey Results |
| plot_timeline | Plot timeline as Gantt Plot |
| print.h2o_automl | Automated H2O's AutoML |
| print.maze_solve | Maze Solver, inspired by Micromouse competitions |
| print.wordle_check | Wordle Game Validation |
| print.wordle_simulation | Wordle Game Validation |
| prophesize | Facebook's Prophet Forecast |
-- Q --
| quants | Calculate cuts by quantiles |
| queryDB | PostgreSQL Queries on Database (Read) |
| queryGA | Queries on Google Analytics |
| quiet | Quiet prints and verbose noise |
-- R --
| read.file | Read Files Quickly (Auto-detected) |
| readGS | Google Sheets Reading and Writing (API v4) |
| readGS4 | Google Sheets Reading and Writing (API v4) |
| reduce_pca | Reduce Dimensionality with PCA |
| reduce_tsne | Reduce Dimensionality with t-SNE |
| removenacols | Remove/Drop Columns in which ALL or SOME values are NAs |
| removenarows | Remove/Drop Columns in which ALL or SOME values are NAs |
| remove_stopwords | Remove stop-words and patterns from character vector |
| replaceall | Replace Values With |
| replacefactor | Replace Factor Values |
| right | Left or Right N characters of a string |
| rmse | Calculate Continuous Values Errors |
| robyn_hypsbuilder | Robyn: Generate default hyperparameters |
| robyn_modelselector | Robyn: Model Selection by Weighted Criteria Scores |
| robyn_performance | Robyn: Dynamic Performance and Contribution Report |
| ROC | AUC and ROC Curves Data |
| rsq | Calculate Continuous Values Errors |
| rsqa | Calculate Continuous Values Errors |
| rtistry_sphere | Generative Art: Sphere XmodY |
-- S --
| scale_x_abbr | Axis scales format |
| scale_x_comma | Axis scales format |
| scale_x_dollar | Axis scales format |
| scale_x_formatNum | Axis scales format |
| scale_x_percent | Axis scales format |
| scale_y_abbr | Axis scales format |
| scale_y_comma | Axis scales format |
| scale_y_dollar | Axis scales format |
| scale_y_formatNum | Axis scales format |
| scale_y_percent | Axis scales format |
| scrabble_dictionary | Scrabble: Dictionaries |
| scrabble_points | Scrabble: Dictionaries |
| scrabble_score | Scrabble: Dictionaries |
| scrabble_words | Scrabble: Dictionaries |
| sentimentBreakdown | Sentiment Breakdown on Text |
| shap_var | SHAP-based dependence plots for categorical/numerical features (PDP) |
| slackSend | Send Slack Message (Webhook) |
| splot_change | Investing Portfolio Reporting Plots |
| splot_divs | Investing Portfolio Reporting Plots |
| splot_etf | Investing Portfolio Reporting Plots |
| splot_growth | Investing Portfolio Reporting Plots |
| splot_roi | Investing Portfolio Reporting Plots |
| splot_summary | Investing Portfolio Reporting Plots |
| splot_types | Investing Portfolio Reporting Plots |
| spread_list | Spread list column into new columns |
| statusbar | Progressive Status Bar (Loading) |
| stocks_file | Build a Personal Investing Portfolio Report |
| stocks_hist | Download Stocks Historical and Current Values |
| stocks_obj | Build a Personal Investing Portfolio Report |
| stocks_quote | Download Stocks Historical and Current Values |
| stocks_report | Build a Personal Investing Portfolio Report |
| sudoku_solver | Solve Sudoku Puzzles |
-- T --
| target_set | Set Target Value in Target Variable |
| textCloud | Wordcloud Plot |
| textFeats | Create features out of text |
| textTokenizer | Tokenize Vectors into Words |
| theme_lares | Theme for ggplot2 (lares) |
| tic | Stopwatch to measure timings in R |
| toc | Stopwatch to measure timings in R |
| topics_rake | Keyword/Topic identification using RAKE |
| tree_var | Recursive Partitioning and Regression Trees |
| trendsRelated | Google Trends: Related and Time Plots |
| trendsTime | Google Trends: Related and Time Plots |
| trim_mp3 | Trim MP3 Audio File |
| try_require | Check if Specific Package is Installed |
-- U --
| updateLares | Update the library (dev or CRAN version) |
-- V --
| v2t | Convert a vector into a comma separated text |
| vector2text | Convert a vector into a comma separated text |
-- W --
| warnifnot | Test the Truth of R Expressions and Warn |
| weighted_value | Calculate weighted stock values using FIFO/LIFO |
| what_size | Calculate the size of any R object or directory |
| winsorize | Outliers: Winsorize |
| wordle_check | Wordle Game Validation |
| wordle_dictionary | Wordle Game Validation |
| wordle_simulation | Wordle Game Validation |
| writeGS | Google Sheets Reading and Writing (API v4) |
| writeGS4 | Google Sheets Reading and Writing (API v4) |
-- X --
| x2y | Ranked Predictive Power of Cross-Features (x2y) |
| x2y_metric | Ranked Predictive Power of Cross-Features (x2y) |
| x2y_preds | Ranked Predictive Power of Cross-Features (x2y) |
-- Y --
| year_month | Convert Date into Year-Month, Year-Quarter or Year-Week Format |
| year_quarter | Convert Date into Year-Month, Year-Quarter or Year-Week Format |
| year_week | Convert Date into Year-Month, Year-Quarter or Year-Week Format |
-- Z --
| zerovar | Zero Variance Columns |
-- misc --
| %>% | Pipe operator |