sa_dashboard: Compute data for a seasonal adjustment dashboard

Description Usage Arguments Details References See Also Examples

View source: R/seasonal_dashboard.R

Description

Function to compute the data to produce a seasonal adjustment dashboard

Usage

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sa_dashboard(x, n_recent_obs = 24)

Arguments

x

a seasonal adjustment model made by 'RJDemetra' (object of class "SA").

n_recent_obs

number of observation in the recent history panel (see details). By default n_recent_obs = 24 (last 2 years for monthly data).

Details

sa_model() reproduces Statistics Canada dashboard used to provide a snapshot snapshot of an single seasonal adjustment model at a point in time and to point out some possible problems (see references).

The dashboard is divided into four sections:

References

KIRCHNER R., LADIRAY D., MAZZI G. L. (2018), "Quality Measures and Reporting for Seasonal Adjustment", edited by G. L. Mazzi, co-edited by D. Ladiray, European Union, Luxembourg. https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-18-001

MATTHEWS S. (2016), "Quality Assurance of Seasonal Adjustment for a Large System of Time Series", 36th International Symposium on Forecasting Santander, Spain.

See Also

plot.sa_dashboard.

Examples

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data <- window(RJDemetra::ipi_c_eu[, "FR"], start = 2003)
sa_model <- RJDemetra::x13(data, "RSA5c")
dashboard_data <- sa_dashboard(sa_model)
plot(dashboard_data, main = "My first seasonal adjustment dashboard",
     subtitle = "SA with X13")

rjdqa documentation built on Aug. 7, 2020, 1:06 a.m.