Tornado chart of activity data sources

Plot the AD tornado of fct_sensitivity2() for one output: each bar is the output value when one AD source goes from \(mean - z \cdot se\) to \(mean + z \cdot se\), all other inputs at their mean. Bars are sorted by swing; labels give the share of the output variance (first-order).

Usage

fct_tornado(.ad_tornado, .output, .top_n = 20)

Arguments

.ad_tornado

The ad_tornado table of fct_sensitivity2().

.output

Output to plot, e.g. "ER-MON1" (see fct_sensitivity2()).

.top_n

Number of AD sources shown.

Value

A ggplot object.

Examples

path <- system.file("extdata/mocaredd-templatev2-simple.xlsx", package = "mocaredd")
checked <- fct_checkinput(.path = path)
#> Loading data... - progress: 0%.
#> ✓ Tables loaded successfully from template v2
#> Checking column names... - progress: 14%.
#> ✓ Column names: all required columns present
#> Checking table dimensions... - progress: 29%.
#> ✓ Table sizes: all tables have sufficient rows
#> Checking column data types... - progress: 43%.
#> ✓ Data types: all columns have correct data types
#> Checking category values... - progress: 57%.
#> ✓ Category values: all categories are valid
#> Checking unique IDs... - progress: 71%.
#> ✓ Unique IDs: no duplicates or missing IDs found
#> Checking cross-table and intra_table consistency... - progress: 86%.
#> ✓ Cross-table consistency: all references match
#> -- All checks passed.

sa <- fct_sensitivity2(.checked_data = checked)
fct_tornado(sa$ad_tornado, .output = "ER-MON1", .top_n = 10)