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Overview\nR Examples\n\n#### Programming with R\n\n| directory | description | packages |\n|-----------|-------------|---------|\n| functional-programming         | functional programming in R            | {base}        |\n| inside-r           | understand the internal implementation in R         | {pryr}        |\n| meta-programming           | meta programming in R            | {base}        |\n\n#### Data Preprocessing and Visualization\n\n| directory | description | packages |\n|-----------|-------------|---------|\n| correlation | correlation | {psych}, {polycor}, {Kendall}, {vcdExtra}, {lsr} |\n| data-generation | data generation | {MASS}  |\n| data-handling         | data handling            | {dplyr}, {tidyr}, {purrr}, {dummies}        |\n| ggplot2          | visualization            | {ggplot2}, {GGally}, {ggfortify}        |\n| reading-data          | reading data            | {data.table}, {jsonlite}, {jqr}, {readxl}, {openxlsx}, {RMySQL}, {aws.s3}       |\n| stats          | basic statistics            | {base}        |\n| strings          | string manipulation in R            | {stringr}        |\n| transformation          | Box-Cox transformation            | {car}        |\n| lubridate          | Make Dealing with Dates            | {lubridate}        |\n\n#### Statistical Model\n\n| directory | description | packages |\n|-----------|-------------|---------|\n| discrete-choice-model          | discrete choice model            | {mlogit}, {MASS}, {ordinal}        |\n| glm          | generalized linear model            | {stats}, {ROCR}        |\n| lda          | linear discriminant            | {MASS}        |\n| lm          | linear model            | {stats}        |\n| lme          | linear mixed effects model            | {lme4}        |\n| pca          | principal component analysis            | {kernlab}        |\n| regularization          | L1/L2 regularization and elastic net            | {glmnet}, {useful}        |\n| stan          | MCMC (NUTS)            | {rstan}        |\n| testing          | statistical hypothesis testing            | {lawstat}, {pwr}        |\n\n\n#### Statistical Machine Learning\n\n| directory | description | packages |\n|-----------|-------------|---------|\n| bayesian-network        |  bayesian-network           | {bnlearn}        |\n| cca          | canonical correlation analysis            | {kernlab}        |\n| gradient-boosting          | gradient boosting            | {xgboost}        |\n| knn          | k-nearest neighbor            | {class}, {FNN}        |\n| kmeans          | k-means clustering            | {stats}        |\n| random-forest          | Random Forest            | {randomForest}        |\n| recommender          | recommendation algorithms            | {recommenderlab}        |\n| naive-bayes          | naive bayes            | {e1071}        |\n| svm          | support vector machine            | {kernlab}, {caret}        |\n\n\n#### Time Series Analysis\n\n| directory | description | packages |\n|-----------|-------------|---------|\n| arima |   AR, ARMA, ARIMA models          | {stats}        |\n| dlm         | dynamic Linear models            | {dlm}        |\n| forecast          | econometric method            | {tseries}, {forecast}, {quantmod}, {PerformanceAnalytics}        |\n| garch          | GARCH and VaR models           | {rugarch}        |\n| var         | VAR model            | {vars}        |\n\n#### Others\n\n| directory | description | packages |\n|-----------|-------------|---------|\n| arules        |  association rules           |   {arules}      |\n| causality         |  Causality Analysis           | {Matching}, {fastICA}         |\n| design-of-experiments          | design of experiments            | {DoE.base}        |\n\n\n## Licence\n[MIT](http://opensource.org/licenses/MIT)\n\n## Author\n[t2sy](https://github.com/fisproject)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffisproject%2FR-Study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffisproject%2FR-Study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffisproject%2FR-Study/lists"}