haven (version 2.1.1)

read_spss: Read SPSS (.sav, .zsav, .por) files. Write .sav and .zsav files.

Description

read_sav() reads both .sav and .zsav files; write_sav() creates .zsav files when compress = TRUE. read_por() reads .por files. read_spss() uses either read_por() or read_sav() based on the file extension.

Usage

read_sav(file, encoding = NULL, user_na = FALSE)
read_por(file, user_na = FALSE)
write_sav(data, path, compress = FALSE)
read_spss(file, user_na = FALSE)

Arguments

file

Either a path to a file, a connection, or literal data (either a single string or a raw vector).

Files ending in .gz, .bz2, .xz, or .zip will be automatically uncompressed. Files starting with http://, https://, ftp://, or ftps:// will be automatically downloaded. Remote gz files can also be automatically downloaded and decompressed.

Literal data is most useful for examples and tests. It must contain at least one new line to be recognised as data (instead of a path) or be a vector of greater than length 1.

Using a value of clipboard() will read from the system clipboard.

encoding

The character encoding used for the file. The default, NULL, use the encoding specified in the file, but sometimes this value is incorrect and it is useful to be able to override it.

user_na

If TRUE variables with user defined missing will be read into labelled_spss() objects. If FALSE, the default, user-defined missings will be converted to NA.

data

Data frame to write.

path

Path to a file where the data will be written.

compress

If TRUE, will compress the file, resulting in a .zsav file.

Value

A tibble, data frame variant with nice defaults.

Variable labels are stored in the "label" attribute of each variable. It is not printed on the console, but the RStudio viewer will show it.

write_sav() returns the input data invisibly.

Details

Currently haven can read and write logical, integer, numeric, character and factors. See labelled_spss() for how labelled variables in SPSS are handled in R.

Examples

# NOT RUN {
path <- system.file("examples", "iris.sav", package = "haven")
read_sav(path)

tmp <- tempfile(fileext = ".sav")
write_sav(mtcars, tmp)
read_sav(tmp)
# }