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.

You can install ucidata from github with:

# install.packages("devtools") devtools::install_github("coatless/ucidata")

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

The following data sets are included in the ucidata package:

• abalone
• adult
• autoimports
• autompg
• Breast Cancer Wisconsin:
  • bcw_original (Breast Cancer Wisconsin Original)
• bike_sharing_daily
• bridges
• car_eval
• forest_fires
• glass
• hepatitis
• wine

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