# RDatasets.jl

**Repository Path**: hulu_fly/RDatasets.jl

## Basic Information

- **Project Name**: RDatasets.jl
- **Description**: Julia  数据分析的基础数据集
- **Primary Language**: Julia
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-15
- **Last Updated**: 2025-10-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RDatasets.jl

[![Build status](https://github.com/JuliaStats/RDatasets.jl/workflows/CI/badge.svg)](https://github.com/JuliaStats/RDatasets.jl/actions?query=workflow%3ACI+branch%3Amaster)
 
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")

# Data Sets

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

# Licensing and Intellectual Property

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.