Generate sample inflation data — ik_sample

Creates synthetic data for testing and demonstrating inflationkit functions. Two types are available: component-level CPI data and headline macro data.

Usage

ik_sample_data(type = c("components", "headline"))

Arguments

type: Character. Either "components" for item-level CPI data with weights and price changes, or "headline" for quarterly macro data with inflation, output gap, and unemployment.

Value

A data.frame. For "components": columns date, item, weight, price_change (120 months, 10 items, 1200 rows). For "headline": columns date, inflation, output_gap, unemployment (80 quarterly observations).

Examples

comp <- ik_sample_data("components")
head(comp)
#>         date item weight price_change
#> 1 2015-01-01 Food   0.15     0.008484
#> 2 2015-02-01 Food   0.15     0.000741
#> 3 2015-03-01 Food   0.15     0.004453
#> 4 2015-04-01 Food   0.15     0.005531
#> 5 2015-05-01 Food   0.15     0.004617
#> 6 2015-06-01 Food   0.15     0.002576

macro <- ik_sample_data("headline")
head(macro)
#>         date inflation output_gap unemployment
#> 1 2005-01-01     2.500      0.000        5.500
#> 2 2005-04-01     2.275      0.685        5.056
#> 3 2005-07-01     1.963      0.796        5.303
#> 4 2005-10-01     2.466      1.313        4.946
#> 5 2006-01-01     2.760      0.888        5.536
#> 6 2006-04-01     2.224     -0.073        5.446