Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/johnmyleswhite/RDatasets.jl

Julia package for loading many of the data sets available in R
https://github.com/johnmyleswhite/RDatasets.jl

Last synced: 3 months ago
JSON representation

Julia package for loading many of the data sets available in R

Awesome Lists containing this project

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.