In l-gorman/rhomis-R-package: Essential Processes for RHoMIS Data

Outputs and Data

The core RHoMIS survey contains over 750 variables. These are used to calculate key indicators, such as total_income_lcu_per_year.

This guide is designed to explain:

1. How some of the main indicators are calculated
2. How variables are linked
3. How you can explore these calculations and indicators yourself

In order to make the most of this guide, you should have a sample RHoMIS dataset, to see how to process a "Raw" RHoMIS dataset, and produce indicators from this dataset, please see [data processing][Data Processing]

Outputs

Indicators

Indicators calculated whilst the data was being processed. These cover a range of topics, including incomes, dietary diversity, and household demographics. The indicators calculated depend on the columns present in the original raw-data.csv file.

Crop Data

Found in the crop_data directory, in each of the csvs, a column represents the crops listed in the survey, each row represents one household (in the same row order as the original dataset)

Livestock Data

Found in the livestock_data directory, in each of the csvs, a column represents the types of livestock listed in the survey, again each row represents a household.

Off-farm Data

Found in the off_farm_data directory, in each of the csvs, a column represents an off-farm activity, and each row represents a household.

Consumption Calories

Found in the consumption_calorie_values directory, in each of the csvs, a column represents the products listed in the survey, and each row represents a household.

Consumption value

Found in the consumption_lcu_values directory, in each of the csvs, a column represents products listed in the survey, and each row represents a household.

Gender Control

Found in the gender_control directory, in each of the csvs, a column represents products listed in the survey, and each row represents a household.

l-gorman/rhomis-R-package documentation built on Nov. 8, 2023, 6:46 a.m.