RALSA: R Analyzer for Large-Scale Assessments

Prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (<doi:10.3390/psych3020018>).

Version: 1.0.2
Depends: R (≥ 4.0.0)
Imports: data.table, openxlsx, Hmisc, stringr, foreign, readr, stringi, shiny, shinydashboard, DT, shinyjs, shinyFiles
Published: 2021-10-21
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski at ineri.org>
License: GPL-2
URL: http://ralsa.ineri.org/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RALSA results

Documentation:

Reference manual: RALSA.pdf

Downloads:

Package source: RALSA_1.0.2.tar.gz
Windows binaries: r-devel: RALSA_1.0.1.zip, r-release: RALSA_1.0.1.zip, r-oldrel: RALSA_1.0.2.zip
macOS binaries: r-release (arm64): RALSA_1.0.1.tgz, r-release (x86_64): RALSA_1.0.1.tgz, r-oldrel: RALSA_1.0.1.tgz
Old sources: RALSA archive

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