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Description

Data Management of Large Hierarchical Data.

Import 'SPSS' data, handle and change 'SPSS' meta data, store and access large hierarchical data in 'SQLite' data bases.

eatGADS

CRAN status R-CMD-check Codecov test coverage

Overview

eatGADS (educational assessment tools: Greatest Assumable Data Set) is the data management and data handling tool used by the Institute for Educational Quality Improvement in Germany (IQB). It has a strong focus on (automated) handling and processing of meta data.

eatGADS uses SQLite3 as a back end and is especially suited for importing data stored as SPSS files. eatDB is used for data base creation and use, haven is used for importing SPSS files.

Installation

# Install stable version from CRAN via
install.packages("eatGADS")

# Install development version from GitHub via
remotes::install_github("beckerbenj/eatGADS")

Usage

The functionality of eatGADS is extensively documented in its various vignettes. If you have questions regarding existing functionality or requests for new features, contact the package author.

# import SPSS data
sav_path <- system.file("extdata", "pisa.zsav", package = "eatGADS")
gads_obj <- import_spss(sav_path)

# see names of variables in the data set
namesGADS(gads_obj)

# extract meta data for specific variables
extractMeta(gads_obj, vars = c("schtype", "idschool"))

# extract data for data analysis while applying missing tags and value labels
dat1 <- extractData(gads_obj, convertLabels = "character")
Metadata

Version

1.1.0

License

Unknown

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