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compIndexBuilder provides an interactive Shiny
application for constructing and analysing composite indices.
library(compIndexBuilder)
compIndexBuilder()Optional shiny::runApp() arguments can be supplied
directly, for example:
compIndexBuilder(launch.browser = TRUE)Version 2.1.0 accepts wide spreadsheets in which the indicator and year are both kept in the column name. For example:
| Country | IN1-2019 | IN1-2020 | IN2-2019 | IN2-2020 | IN3-2019 | IN3-2020 |
|---|---|---|---|---|---|---|
| A | 12.1 | 13.0 | 4.2 | 4.5 | 18.0 | 17.0 |
| B | 10.4 | 11.2 | 3.9 | 4.1 | 20.0 | 19.3 |
With Data layout = Auto-detect, the app reshapes this internally to:
| Country | Year | IN1 | IN2 | IN3 |
|---|---|---|---|---|
| A | 2019 | 12.1 | 4.2 | 18.0 |
| A | 2020 | 13.0 | 4.5 | 17.0 |
| B | 2019 | 10.4 | 3.9 | 20.0 |
| B | 2020 | 11.2 | 4.1 | 19.3 |
Do not rename all columns to years only. Headers
such as IN1-2019 are preferred because they preserve both
the sub-indicator identity and the time period. Common variants such as
IN1_2019, IN1.2019, and IN1 2019
are also recognised.
Text codes such as #N/A, N/A,
NA, .., ..., and
NULL can be standardised to missing values during import.
Numeric zero is not treated as missing by default
because zero may be a legitimate observation. If a source uses
0 or 0.00 specifically to mean “no data”,
enable Treat numeric 0 / 0.00 as missing before
reloading the sheet.
After import, missing observations can be removed, retained with
available weights re-normalised, median-imputed, interpolated, or
imputed with missForest.
For mixed directions, choose Mixed under Indicator
direction. An indicator for which a high value is undesirable (for
example IN3) should be set to Lower is
better. After indicator-year reshaping, this setting is applied
to the indicator itself across all years.
Version 2.1.0 retains the Version 2 multi-sheet Excel workflow, per-sheet and workbook-wide downloads, normalisation, equal/custom weighting, rankings, time-series analysis and forecasting, entity comparisons, pillar/sub-index construction, PCA, reliability diagnostics, sensitivity analysis, correlation heatmaps, and weighted flow visualisations.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.