eatGADS1.2.0 package

Apply Meta Data Changes.

Recode via lookup table into multiple variables.

Recode via lookup table.

Apply recodes according to a numerical check data.frame.

Assimilate value labels.

Auto recode a variable in a GADSdat.

Calculate a scale.

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

Change missing code.

Change SPSS format.

Change value labels.

Change variable labels.

Change Variable Names.

Check SPSS Compliance of Meta Data

Check Value Labels

Check and Adjust SPSS Format

Check and Adjust Missing Tags

Checks compatibility of two eatGADS data bases.

Check uniqueness of a variable.

Check uniqueness of a variable.

Check for a specific value

Check names for SQLite column name conventions.

Clean temporary cache.

Clone a variable.

Collapse two columns of a lookup table.

Recode a multiple choice variable according to a character variable.

Recode multiple choice variable with multiple variables.

Compare two GADS.

Create a composite variable.

Modify upper and lower case for strings.

Create an eatGADS data base.

Extract values for recoding.

Create data.frame for specification of numerical plausibility checks.

Create a variable.

Drop duplicate IDs in a GADSdat.

Transform dummy variables to character variables.

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

Set variables to NA.

Test if two GADSdat objects are (nearly) equal

Transform a GADSdat to a tibble

Extract Data

Extract Data 2

Extract Data while merging linking errors.

Extract single GADSdat from all_GADSdat

Get Meta Data

Extract or remove variables from a GADSdat.

Transform a complex factor variable to dummy variables.

Transform a factor variable to dummy variables.

Fill imputed values.

Remove special characters.

Extract table for Meta Data Changes.

Get data from GADS data base fast from server directory.

Get data from GADS data base.

Get data for trend reports.

Get data for trend reports.

Import an object imported via convertLabel

Import R data.frame

Import R data frame with explicit meta data sheets

Import R data frame with a explicit meta data sheet

Import RDS file

Import SPSS data

Import Stata data

Import tibble

Reorder a single variable in a GADSdat.

Inspect differences in a variable.

Inspect meta data differences in a variable.

Labels from relational eatGADS data base.

Match regular expressions and variable names.

Merge two GADSdat objects into a single GADSdat object.

Prepare data and metadata

Recode Missings to NA

Transform one or multiple character variables to factor.

Variables names of a GADS.

Order the variables in a GADSdat.

Recode values to NA.

Recode variables.

Recode NAs to Missing.

Recode a string to NA.

Reorder a single variable in a GADSdat.

Shorten multiple text variables while giving NA codes.

Remove unused value labels and missing tags.

Remove value labels and missing tags.

Use meta data for variables from another GADSdat.

Split GADSdat into hierarchy levels.

Transform string to numeric.

Substitute imputed values.

Update meta data.

Write a GADSdat object to a file

Write a GADSdat object to txt and SPSS syntax