The RDatasets package provides an easy way for Julia users to experiment with most of the standard data sets that are available in the core of R as well as datasets included with many of R's most popular packages. This package is essentially a simplistic port of the Rdatasets repo created by Vincent Arelbundock, who conveniently gathered data sets from many of the standard R packages in one convenient location on GitHub at https://github.com/vincentarelbundock/Rdatasets

In order to load one of the data sets included in the RDatasets package, you will need to have the `DataFrames`

package installed. This package is automatically installed as a dependency of the `RDatasets`

package if you install `RDatasets`

as follows:

```
Pkg.add("RDatasets")
```

After installing the RDatasets package, you can then load data sets using the `dataset()`

function, which takes the name of a package and a data set as arguments:

```
using RDatasets
iris = dataset("datasets", "iris")
neuro = dataset("boot", "neuro")
```

The `RDatasets.packages()`

function returns a table of represented R packages:

Package | Title |
---|---|

COUNT | Functions, data and code for count data. |

Ecdat | Data sets for econometrics |

HSAUR | A Handbook of Statistical Analyses Using R (1st Edition) |

HistData | Data sets from the history of statistics and data visualization |

ISLR | Data for An Introduction to Statistical Learning with Applications in R |

KMsurv | Data sets from Klein and Moeschberger (1997), Survival Analysis |

MASS | Support Functions and Datasets for Venables and Ripley's MASS |

SASmixed | Data sets from "SAS System for Mixed Models" |

Zelig | Everyone's Statistical Software |

adehabitatLT | Analysis of Animal Movements |

boot | Bootstrap Functions (Originally by Angelo Canty for S) |

car | Companion to Applied Regression |

cluster | Cluster Analysis Extended Rousseeuw et al. |

datasets | The R Datasets Package |

gamair | Datasets used in the book Generalized Additive Models: An Introduction with R |

gap | Genetic analysis package |

ggplot2 | An Implementation of the Grammar of Graphics |

lattice | Lattice Graphics |

lme4 | Linear mixed-effects models using Eigen and S4 |

mgcv | Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation |

mlmRev | Examples from Multilevel Modelling Software Review |

nlreg | Higher Order Inference for Nonlinear Heteroscedastic Models |

plm | Linear Models for Panel Data |

plyr | Tools for splitting, applying and combining data |

pscl | Political Science Computational Laboratory, Stanford University |

psych | Procedures for Psychological, Psychometric, and Personality Research |

quantreg | Quantile Regression |

reshape2 | Flexibly Reshape Data: A Reboot of the Reshape Package. |

robustbase | Basic Robust Statistics |

rpart | Recursive Partitioning and Regression Trees |

sandwich | Robust Covariance Matrix Estimators |

sem | Structural Equation Models |

survival | Survival Analysis |

vcd | Visualizing Categorical Data |

The `RDatasets.datasets()`

function returns a table describing the 700+ included datasets. Or pass in a package name (e.g. `RDatasets.datasets("mlmRev")`

) for a targeted table:

Package | Dataset | Title | Rows | Columns |
---|---|---|---|---|

mlmRev | Chem97 | Scores on A-level Chemistry in 1997 | 31022 | 8 |

mlmRev | Contraception | Contraceptive use in Bangladesh | 1934 | 6 |

mlmRev | Early | Early childhood intervention study | 309 | 4 |

mlmRev | Exam | Exam scores from inner London | 4059 | 10 |

mlmRev | Gcsemv | GCSE exam score | 1905 | 5 |

mlmRev | Hsb82 | High School and Beyond - 1982 | 7185 | 8 |

mlmRev | Mmmec | Malignant melanoma deaths in Europe | 354 | 6 |

mlmRev | Oxboys | Heights of Boys in Oxford | 234 | 4 |

mlmRev | ScotsSec | Scottish secondary school scores | 3435 | 6 |

mlmRev | bdf | Language Scores of 8-Graders in The Netherlands | 2287 | 28 |

mlmRev | egsingle | US Sustaining Effects study | 7230 | 12 |

mlmRev | guImmun | Immunization in Guatemala | 2159 | 13 |

mlmRev | guPrenat | Prenatal care in Guatemala | 2449 | 15 |

mlmRev | star | Student Teacher Achievement Ratio (STAR) project data | 26796 | 18 |

Following Vincent's lead, we have assumed that all of the data sets in this repository can be made available under the GPL-3 license. If you know that one of the datasets released here should not be released publicly or if you know that a data set can only be released under a different license, please contact me so that I can remove the data set from this repository.

11/24/2012

15 days ago

108 commits