A wrapper around various file reading functions.
read.file(
file,
header = T,
na.strings = "NA",
comment.char = NULL,
filetype = c("default", "csv", "txt", "tsv", "fw", "rdata"),
stringsAsFactors = FALSE,
readr = FALSE,
package = NULL,
...
)
character:
The name of the file which the data are to be read from.
This may also be a complete URL or a path to a compressed file.
If it does not contain an absolute path, the file name is
relative to the current working directory,
getwd()
. Tilde-expansion is performed where supported.
See read.table()
for more details.
logical;
For .txt
and .csv
files, this indicates whether the first line of the file includes variables names.
character: strings that indicate missing data.
character: a character vector of length one containing a single character or an empty string. Use "" to turn off the interpretation of comments altogether.
one of "default"
, "csv"
, "txt"
, or "rdata"
indicating the type of file being loaded. The default is to use the filename
to guess the type of file.
a logical indicating whether strings should be converted to factors.
This has no affect when using readr
.
a logical indicating whether functions from the readr
package should be
used, if available.
if specified, files will be searched for among the documentation files provided by the package.
additional arguments passed on to
read.table()
, or load()
or one of the functions
in the readr
package. Note that a message will indicate which
underlying function is being used.
A data frame, unless file
unless filetype
is "rdata"
,
in which case arbitrary objects may be loaded and a character vector
holding the names of the loaded objects is returned invisibly.
Unless filetype
is specified,
read.file
uses the (case insensitive) file extension to determine how to read
data from the file. If file
ends in .rda
or .rdata
, then
load()
is used to load the file. If file
ends in .csv
, then readr::read_csv()
or read.csv()
is used.
Otherwise, read.table()
is used.
if (FALSE) {
Dome <- read.file("http://www.mosaic-web.org/go/datasets/Dome.csv")
}