Package index • ihsMW — Clean & Harmonise Malawi IHS Data in R

Discover & Harmonise

Functions for exploring variable metadata and performing cross-round alignment

ihs_search(): Search across all IHS rounds for variables manually mapped
ihs_harmonise(): Harmonise Raw IHS Data
ihs_crosswalk_check(): Check the comparability of variables across IHS rounds
ihs_panel_ids(): Get Standard Panel ID Columns for an IHS Round

Data Cleaning Suite

Robust offline data cleaning, winsorization, and missing code conversion

ihs_clean(): Clean and Harmonise IHS Data
ihs_standardize_missing(): Standardize Survey Missing Codes
ihs_winsorize(): Winsorize Continuous Variables

Agriculture & Aggregation

NSO crop conversion factor calculations and household-level aggregation tools

ihs_convert_units(): Convert Agricultural Units to Kilograms
ihs_aggregate(): Smart Aggregation to Household Level

Panel & Merging

Tools for combining harmonised data across modules and rounds

ihs_merge(): Merge Multiple Harmonised IHS Data Frames
ihs_deflate(): Deflate Nominal Values to Real Values Using CPI

Survey Design & Reporting

Survey-aware analysis and publication-ready summary statistics

ihs_svydesign(): Create a Survey Design Object for IHS Data
ihs_report(): Generate Summary Statistics Table