Fake data for a mortality survey
mortality_survey_data.RdThis is an example fake dataset of a mortality survey which was generated using epidict package functions.
Format
Two data frames, 'Mortality Survey' with 424 rows and 16 columns, and 'hh_member' with 2874 rows and 24 columns:
- Mortality Survey
A data frame with 424 rows and 16 columns:
- variable1
Description of variable1
- variable2
Description of variable2
# Add more variables as needed
- hh_member
A data frame with 2874 rows and 24 columns:
- variable1
Description of variable1
- variable2
Description of variable2
# Add more variables as needed
Source
This data was generated with functions from the epidict package which was created as part of the R4Epis project funded by the Doctors Without Borders (MSF) sappling nursery.
The original dataset is 'mortality_survey_data.xlsx'
This is version 1.0.
This dataset is English.
This dataset is licensed under GPL3
Details
This is a fake survey dataset. This data comes in two parts: a household level dataset ('Mortality Survey') and an individual level dataset ('hh_member'). It can be used together with mortality_survey_dict. Please note, that this data is entirely fictional created based on the Doctors without Borders (MSF) ethical review board pre-approved survey dictionaries. They have been generated here exclusively for training purposes.