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!