Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/fisproject/R-Study
R Examples
https://github.com/fisproject/R-Study
Last synced: 3 months ago
JSON representation
R Examples
- Host: GitHub
- URL: https://github.com/fisproject/R-Study
- Owner: fisproject
- Created: 2014-09-16T15:31:43.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2019-04-03T14:00:12.000Z (over 5 years ago)
- Last Synced: 2024-05-21T02:52:51.626Z (6 months ago)
- Language: R
- Homepage:
- Size: 16.7 MB
- Stars: 12
- Watchers: 8
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
R-Study
===
## Overview
R Examples
#### Programming with R
| directory | description | packages |
|-----------|-------------|---------|
| functional-programming | functional programming in R | {base} |
| inside-r | understand the internal implementation in R | {pryr} |
| meta-programming | meta programming in R | {base} |
#### Data Preprocessing and Visualization
| directory | description | packages |
|-----------|-------------|---------|
| correlation | correlation | {psych}, {polycor}, {Kendall}, {vcdExtra}, {lsr} |
| data-generation | data generation | {MASS} |
| data-handling | data handling | {dplyr}, {tidyr}, {purrr}, {dummies} |
| ggplot2 | visualization | {ggplot2}, {GGally}, {ggfortify} |
| reading-data | reading data | {data.table}, {jsonlite}, {jqr}, {readxl}, {openxlsx}, {RMySQL}, {aws.s3} |
| stats | basic statistics | {base} |
| strings | string manipulation in R | {stringr} |
| transformation | Box-Cox transformation | {car} |
| lubridate | Make Dealing with Dates | {lubridate} |
#### Statistical Model
| directory | description | packages |
|-----------|-------------|---------|
| discrete-choice-model | discrete choice model | {mlogit}, {MASS}, {ordinal} |
| glm | generalized linear model | {stats}, {ROCR} |
| lda | linear discriminant | {MASS} |
| lm | linear model | {stats} |
| lme | linear mixed effects model | {lme4} |
| pca | principal component analysis | {kernlab} |
| regularization | L1/L2 regularization and elastic net | {glmnet}, {useful} |
| stan | MCMC (NUTS) | {rstan} |
| testing | statistical hypothesis testing | {lawstat}, {pwr} |
#### Statistical Machine Learning
| directory | description | packages |
|-----------|-------------|---------|
| bayesian-network | bayesian-network | {bnlearn} |
| cca | canonical correlation analysis | {kernlab} |
| gradient-boosting | gradient boosting | {xgboost} |
| knn | k-nearest neighbor | {class}, {FNN} |
| kmeans | k-means clustering | {stats} |
| random-forest | Random Forest | {randomForest} |
| recommender | recommendation algorithms | {recommenderlab} |
| naive-bayes | naive bayes | {e1071} |
| svm | support vector machine | {kernlab}, {caret} |
#### Time Series Analysis
| directory | description | packages |
|-----------|-------------|---------|
| arima | AR, ARMA, ARIMA models | {stats} |
| dlm | dynamic Linear models | {dlm} |
| forecast | econometric method | {tseries}, {forecast}, {quantmod}, {PerformanceAnalytics} |
| garch | GARCH and VaR models | {rugarch} |
| var | VAR model | {vars} |
#### Others
| directory | description | packages |
|-----------|-------------|---------|
| arules | association rules | {arules} |
| causality | Causality Analysis | {Matching}, {fastICA} |
| design-of-experiments | design of experiments | {DoE.base} |
## Licence
[MIT](http://opensource.org/licenses/MIT)
## Author
[t2sy](https://github.com/fisproject)