R-CMD-check CRAN status

The dropout package offers robust tools for dropout analysis in survey data. It helps you identify and handle incomplete responses effectively to ensure the quality of your research findings.

Issues & Support

If you encounter any issues with the software, please report them in the GitHub Repository within the Issues section https://github.com/hendr1km/dropout/issues. This will help to identify and address problems more efficiently. If you wish to contribute to the software please use a pull request. Additionally, if you require support with the software or have any related inquiries, please feel free to contact me at hendrik.mann@uni-wuppertal.de. Your feedback and questions are valuable for the future development of the package.


You can install the development version of dropout from GitHub using the following command:

# Install the released version from CRAN

# development version from GitHub:


Using drop_detect

library(dplyr) # not necessary, but recommended

# Detect dropouts in the 'flying' dataset up to the column "location_census_region"
drop_detect(flying, "location_census_region") %>%
  bind_cols(flying, .) %>%
  filter(dropout == FALSE | dropout_index > 22)

Using dropout_summary


# Summarizing dropouts in the 'flying' dataset up to the column "location_census_region"
dropout_summary(flying, "location_census_region")

Further Reading

For more details, practical examples, and tips on interpreting summary statistics, please refer to the package vignette.