What is the MPI? | Installation | The workflow at a glance | Step 1: Define your MPI specifications | What goes in a specification file? | Using the built-in Global MPI specification | Using your own specification file | Step 2: Prepare your data | The two built-in datasets | Step 3: Compute the MPI | The main function: compute_mpi() | Disaggregating by a subgroup | The step-by-step alternative | Step 4: Explore the results | Understanding the output | The headline MPI | Indicator contributions | Headcount ratios | The deprivation matrix | Step 5: Save results to Excel | Quick-reference script | Further reading

1. Argument names no longer carry a . prefix | 2. mpi_specs is now required — no more global option | 3. use_global_mpi_specs() is deprecated — use global_mpi_specs() | 4. .save_as_global_options is deprecated and no-ops | 5. compute_mpi() has a new signature — old profile workflow moved | 6. .collapse replaced by collapse_fn | 7. save_mpi() — removed arguments | 8. Default names_separator changed | 9. Minimum R version bumped to 4.1.0 | Quick migration checklist

Why survey weights matter | Installation | Setup | Simple random sample (weights only) | Option A — pass column names directly | Option B — pre-built svydesign object | Adding standard errors and confidence intervals | Disaggregation by subgroup | Comparing weighted vs. unweighted | Step-by-step workflow | Saving survey-weighted output to Excel

Installation | Common interface | Philippine Standard Geographic Code (PSGC) | Philippine Standard Industrial Classification (PSIC) | Philippine Standard Occupational Classification (PSOC) | Philippine Standard Classification of Education (PSCED) | Philippine Classification of Individual Consumption According to Purpose (PCOICOP) | Philippine Central Product Classification (PCPC) | Philippine Standard Commodity Classification System (PSCCS)

What is the PSGC? | Checking available releases | Getting the full PSGC list | Filter by geographic level | Using a specific release | Looking up a specific code | Population data | Add area names and geographic levels | Wide format — one row per area | Attach population data to the PSGC list | Tracking codes across releases

Scenario 1 — Load multiple files into R | Scenario 2 — Merge files into a new RCDF file

What is RCDF? | Setup | Step 1 — Create your encryption keys | Step 2 — Save your data | Step 3 — Read the data back | Reading a whole folder at once | Step 4 — Export to other formats | Checking a file without decrypting it | Next steps

Using a built-in style | Tweaking a few settings with add_facade() | Common tweaks | Applying the same tweaks across formats | Making your own style file | Step 1 — generate the template | Step 2 — edit the file | Step 3 — use your style | Programmatic style overrides | Style property reference | Table-level settings (full list) | Colour values | Section names

The sample dataset | Count values in a column | Count several columns at once | Show only the top categories | Control how rows are sorted | Include or exclude missing values | Combine similar columns into one table | Other options | Compare two columns in a grid (cross-tabulation) | Percentages by column instead of by row | Cross-tabulate against several columns at once | Break down results by a group | Save your table to a file | Add a title and notes | Change the look of your table | Save to other formats

Get a separate table for each group | Add a grand total to grouped tables | Flat table with total rows inserted | Separate tables with a total entry per level | Change the total label | Compare several Yes/No indicators side by side | Basic usage | Count a different response level | Combining with grouping | Full comparison table with hierarchical columns | Basic stacked table | Custom label separator | Three or more column variables | Export many tables to one Excel file | Basic multi-sheet export | Add an index sheet | Save each table to its own file | End-to-end example | Controlling where footnotes appear | Left and right placement | Linking a footnote to a column header (HTML / PDF) | Chaining multiple footnotes | Tips

Saving to Excel | Basic save | Add a title, subtitle, and notes | More table examples | Frequency table with running totals | Grouped frequency table | Basic cross-tabulation | Cross-tabulation with column percentages | Save multiple tables to one workbook | Save each table to its own file | Add an index sheet to a multi-table workbook | Managing metadata for large reports | Step 1 — Create a template | Step 2 — Fill in the reference data | Step 3 — Export with the reference | Saving to HTML | Multiple tables in one HTML file | Saving to PDF | Saving to Word | Summary