1. The Harmonisation Challenge | 2. The Crosswalk | 3. Basic Harmonisation | 4. Multi-round Panel Work | 5. Merging Modules | 6. Price Deflation | 7. Quality Checks
Package: ihsMW 0.3.0
Vitumbiko Kayuni
ihsMW: Clean and Harmonise 'Malawi Integrated Household Survey' Data
An offline suite of tools to clean, aggregate, and harmonise data from the 'Malawi Integrated Household Survey' ('IHS'). Provides crop-specific unit conversions, stratified winsorization, and automatic cross-round harmonisation for complex survey designs.
Authors:
ihsMW_0.3.0.tar.gz
ihsMW_0.3.0.zip(r-4.7)ihsMW_0.3.0.zip(r-4.6)ihsMW_0.3.0.zip(r-4.5)
ihsMW_0.3.0.tgz(r-4.6-any)ihsMW_0.3.0.tgz(r-4.5-any)
ihsMW_0.3.0.tar.gz(r-4.7-any)ihsMW_0.3.0.tar.gz(r-4.6-any)
ihsMW_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ihsMW/json (API)
| # Install 'ihsMW' in R: |
| install.packages('ihsMW', repos = c('https://vituk123.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vituk123/ihsmw/issues
Pkgdown/docs site:https://vituk123.github.io
africahousehold-surveyihslsmsmalawimicrodataworld-bank
Last updated from:f3a59a97d4. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 156 | ||
| source / vignettes | OK | 177 | ||
| linux-release-x86_64 | OK | 183 | ||
| macos-release-arm64 | OK | 120 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 99 | ||
| wasm-release | OK | 129 |
Exports:ihs_aggregateihs_cleanihs_convert_unitsihs_crosswalk_checkihs_deflateihs_harmoniseihs_mergeihs_panel_idsihs_reportihs_searchihs_standardize_missingihs_svydesignihs_winsorize
Dependencies:bitbit64clicliprcpp11crayondplyrgenericsgluehmslifecyclemagrittrpillarpkgconfigprettyunitsprogressR6readrrlangtibbletidyselecttzdbutf8vctrsvroomwithr
Cross-round harmonisation
Last update: 2026-06-20
Started: 2026-04-27
Getting started with ihsMW
1. Installation | 2. The IHS Landscape | 3. Loading and Harmonising | 4. Searching Variables | 5. Data Cleaning | 6. Unit Conversion | 7. Aggregation
Last update: 2026-06-20
Started: 2026-04-27
Working with survey weights
1. Why Survey Weights Matter | 2. Setting Up the Design | 3. Weighted Analysis | 4. Using srvyr | 5. Summary Statistics | 6. Common Pitfalls
Last update: 2026-06-20
Started: 2026-04-27
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Smart Aggregation to Household Level | ihs_aggregate |
| Clean and Harmonise IHS Data | ihs_clean |
| Convert Agricultural Units to Kilograms | ihs_convert_units |
| Check the comparability of variables across IHS rounds | ihs_crosswalk_check |
| Deflate Nominal Values to Real Values Using CPI | ihs_deflate |
| Harmonise Raw IHS Data | ihs_harmonise |
| Merge Multiple Harmonised IHS Data Frames | ihs_merge |
| Get Standard Panel ID Columns for an IHS Round | ihs_panel_ids |
| Generate Summary Statistics Table | ihs_report |
| Search across all IHS rounds for variables manually mapped | ihs_search |
| Standardize Survey Missing Codes | ihs_standardize_missing |
| Create a Survey Design Object for IHS Data | ihs_svydesign |
| Winsorize Continuous Variables | ihs_winsorize |