README.md

In coatless/ucidata: Collection of Datasets from the UC Irvine Machine Learning Repository

ucidata - Data Sets from UC Irvine’s ML Library

The following is an R data package that features certain data sets from the Machine Learning Library at UC Irvine. These data sets have been cleaned up and provide documentation via R’s help system.

Installation

You can install ucidata from github with:

# install.packages("remotes")
remotes::install_github("coatless-rpkg/ucidata")

Using data in the package

There are two ways to access the data contained within this package.

The first is to load the package itself and type the name of a data set. This approach takes advantage of R’s lazy loading mechansim, which avoids loading the data until it is used in R session. For details on how lazy loading works, please see Section 1.17: Lazy Loading of the R Internals manual.

# Load the `ucidata` package
library("ucidata")

# See the first 10 observations of the `autompg` dataset
head(autompg)

# View the help documentation for `autompg`
?autompg

The second approach is to use the data() command to load data on the fly without and type the name of a data set.

# Loading `autompg` without a `library(ucidata)` call
data("autompg", package = "ucidata")

# See the first 10 observations of the `autompg` dataset
head(autompg)

# View the help documentation for `autompg`
?autompg

Included Data Sets

The following data sets are included in the ucidata package:

• abalone
• adult
• autoimports
• autompg
• Breast Cancer Wisconsin:
• bcw_original (Breast Cancer Wisconsin Original)
• Heart Disease
• heart_disease_cl
• heart_disease_hu
• heart_disease_va
• heart_disease_ch
• bike_sharing_daily
• bridges
• car_eval
• forest_fires
• glass
• hepatitis
• wine

Build Scripts

Want to see how each data set was imported? Check out the data-raw folder!

coatless/ucidata documentation built on Nov. 17, 2023, 9:19 a.m.