misty (version 0.5.0)

read.sav: Read SPSS File

Description

This function calls the read_spss function in the haven package by Hadley Wickham and Evan Miller (2019) to read an SPSS file.

Usage

read.sav(file, use.value.labels = FALSE, use.missings = TRUE, formats = FALSE,
         label = TRUE, labels = TRUE, missing = FALSE, widths = FALSE,
         as.data.frame = TRUE, check = TRUE)

Value

Returns a data frame or tibble.

Arguments

file

a character string indicating the name of the SPSS data file with or without file extension '.sav', e.g., "My_SPSS_Data.sav" or "My_SPSS_Data".

use.value.labels

logical: if TRUE, variables with value labels are converted into factors.

use.missings

logical: if TRUE (default), user-defined missing values are converted into NAs.

formats

logical: if TRUE, variable formats are shown in an attribute for all variables.

label

logical: if TRUE (default), variable labels are shown in an attribute for all variables.

labels

logical: if TRUE (default), value labels are shown in an attribute for all variables.

missing

logical: if TRUE, value labels for user-defined missings are shown in an attribute. for all variables.

widths

logical: if TRUE, widths are shown in an attribute for all variables.

as.data.frame

logical: if TRUE (default), function returns a regular data frame (default); if FALSE function returns a tibble.

check

logical: if TRUE, argument specification is checked.

Author

Hadley Wickham and Evan Miller

References

Hadley Wickham and Evan Miller (2019). haven: Import and Export 'SPSS', 'Stata' and 'SAS' Files. R package version 2.1.1.

See Also

write.sav, read.xlsx, read.mplus

Examples

if (FALSE) {
# Read SPSS data
read.sav("SPSS_Data.sav")
read.sav("SPSS_Data")

# Read SPSS data, convert variables with value labels into factors
read.sav("SPSS_Data.sav", use.value.labels = TRUE)

# Read SPSS data, user-defined missing values are not converted into NAs
read.sav("SPSS_Data.sav", use.missing = FALSE)

# Read SPSS data as tibble
read.sav("SPSS_Data.sav", as.data.frame = FALSE)
}