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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: | 1.5.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | DT, haven, Hmisc, data.table, foreign, ggplot2, import, methods, openxlsx, rclipboard, readr, rstudioapi, shiny, shinyFiles, shinydashboard, shinyjs, shinyWidgets, stringi, stringr |
| Published: | 2024-09-23 |
| DOI: | 10.32614/CRAN.package.RALSA |
| Author: | Plamen V. Mirazchiyski [aut, cre], INERI [aut] |
| Maintainer: | Plamen V. Mirazchiyski <plamen.mirazchiyski at ineri.org> |
| License: | GPL-2 |
| URL: | https://ralsa.ineri.org/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | RALSA results |
| Reference manual: | RALSA.pdf |
| Package source: | RALSA_1.5.0.tar.gz |
| Windows binaries: | r-devel: RALSA_1.5.0.zip, r-release: RALSA_1.5.0.zip, r-oldrel: RALSA_1.5.0.zip |
| macOS binaries: | r-release (arm64): RALSA_1.5.0.tgz, r-oldrel (arm64): RALSA_1.5.0.tgz, r-release (x86_64): RALSA_1.5.0.tgz, r-oldrel (x86_64): RALSA_1.5.0.tgz |
| Old sources: | RALSA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.