R language: Reading and Writing Data

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Reading and writing data is an essential part of data analysis in R. There are a few principal functions for reading data into R, including read.table, read.csv, readLines, source, dget, load, and unserialize. There are also analogous functions for writing data to files, including write.table, writeLines, dump, dput, save, and serialize.

The read.table() and read.csv() functions are the most commonly used functions for reading tabular data into R. They can be used to read data from a variety of file formats, including CSV, tab-delimited, and Excel files. The readLines() function can be used to read lines of text from a file. The source() function can be used to read R code files into R. The dget() function can be used to read R code files into R. The load() function can be used to read saved workspaces into R. The unserialize() function can be used to read single R objects in binary format.

The write.table() function can be used to write tabular data to a text file or connection. The writeLines() function can be used to write character data line-by-line to a file or connection. The dump() function can be used to dump a textual representation of multiple R objects. The dput() function can be used to output a textual representation of an R object. The save() function can be used to save an arbitrary number of R objects in binary format to a file. The serialize() function can be used to convert an R object into a binary format for outputting to a connection (or file).

There are many other R packages that have been developed to read in all kinds of other datasets. These packages may be necessary if you are working in a specific area.

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