R は統計のためのよく使われているオープンソースのプログラミング言語です。
RStudio を使っている人が多いと思います。
| base | The R Base Package |
| compiler | The R Compiler Package |
| datasets | The R Datasets Package |
| graphics | The R Graphics Package |
| grDevices | The R Graphics Devices and Support for Colours and Fonts |
| grid | The Grid Graphics Package |
| methods | Formal Methods and Classes |
| parallel | Support for Parallel Computation in R |
| splines | Regression Spline Functions and Classes |
| stats | The R Stats Package |
| stats4 | Statistical Functions using S4 Classes |
| tcltk | Tcl/Tk Interface |
| tools | Tools for Package Development |
| utils | The R Utils Package |
| boot | Bootstrap Functions (Originally by Angelo Canty for S) |
| class | Functions for Classification |
| cluster | "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al. |
| codetools | Code Analysis Tools for R |
| foreign | Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ... |
| KernSmooth | Functions for Kernel Smoothing Supporting Wand & Jones (1995) |
| lattice | Trellis Graphics for R |
| MASS | Support Functions and Datasets for Venables and Ripley's MASS |
| Matrix | Sparse and Dense Matrix Classes and Methods |
| mgcv | Mixed GAM Computation Vehicle with Automatic Smoothness Estimation |
| nlme | Linear and Nonlinear Mixed Effects Models |
| nnet | Feed-Forward Neural Networks and Multinomial Log-Linear Models |
| rpart | Recursive Partitioning and Regression Trees |
| spatial | Functions for Kriging and Point Pattern Analysis |
| survival | Survival Analysis |