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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.
# Install stable version from CRAN via
install.packages("eatGADS")
# Install development version from GitHub via
remotes::install_github("beckerbenj/eatGADS")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 <- extractData2(gads_obj)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.