Loads specified data sets, or list the available data sets.
data(..., list = character(), package = NULL, lib.loc = NULL, verbose = getOption("verbose"), envir = .GlobalEnv)
- literal character strings or names.
- a character vector.
a character vector giving the package(s) to look
in for data sets, or
By default, all packages in the search path are used, then the data subdirectory (if present) of the current working directory.
- a character vector of directory names of R libraries,
NULL. The default value of
NULLcorresponds to all libraries currently known.
- a logical. If
TRUE, additional diagnostics are printed.
- the environment where the data should be loaded.
Currently, four formats of data files are supported:
- files ending .R or .r are
source()d in, with the R working directory changed temporarily to the directory containing the respective file. (
dataensures that the utils package is attached, in case it had been run via
read.table(..., header = TRUE), and hence result in a data frame.
read.table(..., header = TRUE, sep = ";"), and also result in a data frame.
If more than one matching file name is found, the first on this list is used. (Files with extensions .txt, .tab or .csv can be compressed, with or without further extension .gz, .bz2 or .xz.)
The data sets to be loaded can be specified as a set of character
strings or names, or as the character vector
list, or as both.
For each given data set, the first two types (.R or .r, and .RData or .rda files) can create several variables in the load environment, which might all be named differently from the data set. The third and fourth types will always result in the creation of a single variable with the same name (without extension) as the data set.
If no data sets are specified,
data lists the available data
sets. It looks for a new-style data index in the Meta or, if
this is not found, an old-style 00Index file in the data
directory of each specified package, and uses these files to prepare a
listing. If there is a data area but no index, available data
files for loading are computed and included in the listing, and a
warning is given: such packages are incomplete. The information about
available data sets is returned in an object of class
"packageIQR". The structure of this class is experimental.
Where the datasets have a different name from the argument that should
be used to retrieve them the index will have an entry like
beaver1 (beavers) which tells us that dataset
can be retrieved by the call
package are both
default), the data sets are searched for in all the currently loaded
packages then in the data directory (if any) of the current
lib.loc = NULL but
package is specified as a
character vector, the specified package(s) are searched for first
amongst loaded packages and then in the default library/ies
lib.loc is specified (and not
are searched for in the specified library/ies, even if they are
already loaded from another library.
To just look in the data directory of the current working
package = character(0) (and
NULL, the default).
A character vector of all data sets specified, or information about
all available data sets in an object of class
"packageIQR"if none were specified.
One can take advantage of the search order and the fact that a
.R file will change directory. If raw data are stored in
mydata.txt then one can set up mydata.R to read
mydata.txt and pre-process it, e.g., using
For instance one can convert numeric vectors to factors with the
appropriate labels. Thus, the .R file can effectively contain
a metadata specification for the plaintext formats.
data() was originally intended to allow users to load datasets
from packages for use in their examples, and as such it loaded the
datasets into the workspace
.GlobalEnv. This avoided
having large datasets in memory when not in use. That need has been
almost entirely superseded by lazy-loading of datasets. The ability to specify a dataset by name (without quotes) is a
convenience: in programming the datasets should be specified by
character strings (with quotes). Use of
data within a function without an
has the almost always undesirable side-effect of putting an object in
the user's workspace (and indeed, of replacing any object of that name
already there). It would almost always be better to put the object in
the current evaluation environment by
data(..., envir =
environment()). However, two alternatives are usually preferable,
both described in the Writing R Extensions manual.
- For sets of data, set up a package to use lazy-loading of data.
- For objects which are system data, for example lookup tables used in calculations within the function, use a file R/sysdata.rda in the package sources or create the objects by R code at package installation time.
mytableas an object from the package, it is system data and the second approach should be used.
The Writing R Extensions for considerations in preparing the data directory of a package.
require(utils) data() # list all available data sets try(data(package = "rpart") ) # list the data sets in the rpart package data(USArrests, "VADeaths") # load the data sets 'USArrests' and 'VADeaths' ## Not run: ## Alternatively # ds <- c("USArrests", "VADeaths"); data(list = ds)## End(Not run) help(USArrests) # give information on data set 'USArrests'