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eatGADS

Overview

eatGADS (educational assessment tools: GADS) is the data management and data handling tool used by the Institute for Educational Quality Improvement in Germany (IQB). It has a strong focus of handling and processing 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 creating 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", build_vignettes = TRUE, dependencies = TRUE)

Vignettes

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

## See vignettes for exhaustive documentation
# overview over all vignettes
vignette(package = "eatGADS")

# see a specific vignettes
vignette("import_spss") # how to import spss data?
vignette("getGADS") # how to use a eatGADS data base?

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Version

Install

install.packages('eatGADS')

Monthly Downloads

892

Version

1.0.0

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/beckerbenj/eatGADS

Maintainer

Benjamin Becker

Last Published

April 6th, 2023

Functions in eatGADS (1.0.0)

checkTrendStructure

Checks compatibility of two eatGADS data bases.

Check and Adjust Missing Coding

changeVarLabels

Change the variable label.

Change Variable Names.

Check and Adjust SPSS Format

checkEmptyValLabels

Check Value Labels

checkUniqueness

Check uniqueness of a variable.

changeValLabels

Change value labels.

Check SPSS Compliance of Meta Data

checkUniqueness2

Check uniqueness of a variable.

Clean temporary cache.

collapseMC_Text

Recode a multiple choice variable according to a character variable.

collapseColumns

Collapse two columns of a lookup table.

Modify upper and lower case for strings.

Test if Two GADSdat Objects are (Nearly) Equal

Clone a variable.

Create a composite variable.

Transform a GADSdat to a tibble

eatGADS: Data management of hierarchical SPSS files via R and SQLite

Transform dummy variables to character variables.

Create data.frame for specification of numerical plausibility checks.

Create a variable.

Transform a factor variable to dummy variables.

Compare two GADS.

collapseMultiMC_Text

Recode multiple choice variable with multiple variables.

Check for a specific value

Check names for SQLite conventions.

fac2dummies_complex

Transform a complex factor variable to dummy variables.

fillImputations

Fill imputed values.

Extract table for Meta Data Changes.

Get data from GADS data base.

Remove special characters.

Import SPSS data

Create an eatGADS data base.

Extract values for recoding.

Import R data frame with a explicit meta data sheet

Import R data frame with explicit meta data sheets

Import RDS file

Extract Data while merging linking errors.

import_convertLabel

Import an object imported via convertLabel

Extract single GADSdat from all_GADSdat

getTrendGADSOld

Get data for trend reports.

Extract or remove variables from a GADSdat.

inspectMetaDifferences

Inspect differences in a variable.

Get data from GADS data base fast from server directory.

Get data for trend reports.

Reorder a single variable in a GADSdat.

Import Stata data

inspectDifferences

Inspect differences in a variable.

Labels from relational eatGADS data base.

Import R data.frame

Variables names of a GADS.

Transform one or multiple character variables to factor.

Prepare data and metadata

Merge two GADSdat objects into a single GADSdat object.

matchValues_varLabels

Match regular expressions and variable names.

Recode Missings to NA

Split GADSdat into hierarchy levels.

Use meta data for a variable from another GADSdat.

removeValLabels

Remove value labels.

stringAsNumeric

Transform string to numeric.

Shorten multiple text variables while giving NA codes.

recodeString2NA

Recode a string to NA.

Order the variables in a GADSdat.

PISA Plus Example Data

Write a GADSdat object to txt and SPSS syntax

Write a GADSdat object to a file

Update meta data.

Recode a variable.

Recode a value to NA.

Substitute imputed values.

applyChangeMeta

Apply Meta Data Changes.

Calculate a scale.

assimilateValLabels

Assimilate value labels.

applyLookup_expandVar

Recode via lookup table into multiple variables.

Bind two GADSdat objects into a single GADSdat object by columns.

Recode via lookup table.

Auto recode a variable in a GADSdat.

changeSPSSformat

Change SPSS format.

Change missing code.

Apply recodes according to a numerical check data.frame.