Ex Post Survey Data Harmonization
Labelled to labelled_spss_survey
Collect labels from metadata file
Concatenate haven_labelled_spss vectors
Convert to haven_labelled_spss
Create a survey codebook
Crosswalk and harmonize surveys
Validate a crosswalk table
Document survey item harmonization
Document survey lists
Find import function by file extension
Harmonize na_values in haven_labelled_spss
Harmonize values in surveys
Read a survey from a CSV file
Harmonize the values and labels of labelled vectors
Harmonize the variable names of surveys
Here
Test whether missing values need harmonization
Normalize value and variable labels
Coercion methods for labelled survey vectors
vctrs type and casting methods for labelled survey vectors
Labelled SPSS-style vectors with survey provenance
Merge surveys
Create a metadata table from several surveys
Initialize a metadata data frame
Create a metadata table
Harmonize SPSS-style missing value ranges
Pipe operator
Pull a survey from a survey list
Read csv file
Read Stata DTA files (.dta) files
Read rds file
Read SPSS (.sav, .zsav, .por) files. Write .sav and .zsav fi...
Read survey file(s)
Data Input
retroharmonize: Ex Post Survey Data Harmonization
retroharmonize: Retrospective harmonization of survey data files
Subset surveys from files
Subset surveys in memory
Subset and optionally harmonize surveys
Create a survey object
Create a survey data frame
Validate harmonize_labels parameter Check if "from", "to", and "numeri...
Convert labelled missing values to NA
Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.
Useful links