lsa.convert.data2: Convert Large-Scale Assessments' Datasets to .RData Format

In RALSA: R Analyzer for Large-Scale Assessments

Convert Large-Scale Assessments' Datasets to .RData Format

Description

lsa.convert.data2 is a deprecated version of of the lsa.convert.data function using a different approach. It is an old version of the lsa.convert.data function and will be removed from the package in June of 2025. Use only if you experience issues with lsa.convert.data.

Usage

lsa.convert.data2(
  inp.folder,
  PISApre15 = FALSE,
  ISO,
  missing.to.NA = FALSE,
  out.folder
)

Arguments

inp.folder	The folder containing the IEA-like SPSS data files or ASCII text files and .sps import files for OECD PISA data from cycles prior to 2015. See details. If blank, the working directory (getwd()) is used.
PISApre15	When converting PISA files, set to TRUE if the input files are from PISA cycles prior 2015 (ASCII text format with .sps control files) or to FALSE (default) if they are in SPSS .sav format, as in the case of IEA studies and the like and OECD PISA 2015 or later. Ignored if the input folder contains IEA-like studies.
ISO	Vector containing character ISO codes of the countries' data files to convert (e.g. ISO = c("aus", "svn")). If none of the files contain the specified ISO codes in their names, the codes are ignored and a warning is shown. Ignored when converting PISA files (both for cycles prior 2015 and 2015 and later). This argument is case-insensitive, i.e. the ISO codes can be passed as lower- or upper-case. (lower or upper) as the original SPSS .sav files.
missing.to.NA	Should the user-defined missing values be recoded to NA? If TRUE, all user-defined missing values from the SPSS files (or specified in the OECD PISA import syntax files) are all imported as NA. If FALSE (default), they are converted to valid values and the missing codes are assigned to an attribute missings for each variable. See details.
out.folder	Path to the folder where the converted files will be stored. If omitted, same as the inp.folder, and if the inp.folder is missing as well, this will be getwd().

Details

See the details of lsa.convert.data.

Value

See the "Value" section of the lsa.convert.data.

Note

See the "Notes" section of lsa.convert.data.

References

Foy, P. (Ed.). (2018). PIRLS 2016 User Guide for the International Database. TIMSS & PIRLS International Study Center.

See Also

lsa.convert.data2, lsa.merge.data, lsa.vars.dict, lsa.recode.vars

Examples

# See the examples of \code{lsa.convert.data}.

RALSA documentation built on April 4, 2025, 2:39 a.m.