R Analyzer for Large-Scale Assessments

Download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 ). 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 increases with every next release. For a general presentation of the package, see 'Mirazchiyski', 2021a (). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b ().


RALSA

R Analyzer for Large-Sacale Assessments

Package for preparing and analyzing data from large-scale assessments.

Installation

RALSA is hosted on CRAN and can be installed from within R using:

install.packages("RALSA", dependencies = TRUE)

Contact

For questions, feature requests, training requests and bug reports, please write to Plamen V. Mirazchiyski

Reference manual

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install.packages("RALSA")

1.7.0 by Plamen V. Mirazchiyski, 3 months ago


https://statr.dev/menu/ralsa/


Browse source code at https://github.com/cran/RALSA


Authors: Plamen V. Mirazchiyski [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports archive, DT, haven, Hmisc, data.table, ggplot2, import, methods, openxlsx, rclipboard, readr, rstudioapi, shiny, shinyFiles, shinydashboard, shinyjs, shinyWidgets, stringi, stringr, quantreg


See at CRAN