Example Functions, Generated by ts_. ts_prcomp calculates the principal components of multiple time series, ts_dygraphs generates an interactive graphical visualization, ts_forecast return an univariate forecast, ts_seas the seasonally adjusted series. ts_na_interpolation imputes missing values.

ts_prcomp(x, ...)

ts_dygraphs(x, ...)

ts_forecast(x, ...)

ts_seas(x, ...)

ts_na_interpolation(x, ...)

Arguments

x

ts-boxable time series, an object of class ts, xts, zoo, data.frame, data.table, tbl, tbl_ts, tbl_time, tis, irts or timeSeries.

...

further arguments, passed to the underlying function. For help, consider these functions, e.g., stats::prcomp.

Value

a ts-boxable object of the same class as x, i.e., an object of class ts, xts, zoo, data.frame, data.table, tbl, tbl_ts, tbl_time, tis, irts or timeSeries.

Details

With the exception of ts_prcomp, these functions depend on external packages.

See also

Vignette on how to make arbitrary functions ts-boxable.

Examples

# \donttest{ ts_plot( ts_scale(ts_c( Male = mdeaths, Female = fdeaths, `First principal compenent` = -ts_prcomp(ts_c(mdeaths, fdeaths))[, 1] )), title = "Deaths from lung diseases", subtitle = "Normalized values" )
ts_plot(ts_c( male = mdeaths, female = fdeaths, ts_forecast(ts_c(`male (fct)` = mdeaths, `female (fct)` = fdeaths)) ), title = "Deaths from lung diseases", subtitle = "Exponential smoothing forecast" )
#> Registered S3 method overwritten by 'quantmod': #> method from #> as.zoo.data.frame zoo
ts_plot( `Raw series` = AirPassengers, `Adjusted series` = ts_seas(AirPassengers), title = "Airline passengers", subtitle = "X-13 seasonal adjustment" )
# See ?imputeTS::na_interpolation for options dta <- ts_c(mdeaths, fdeaths) dta[c(1, 3, 10), c(1, 2)] <- NA head(ts_na_interpolation(dta, option = "spline"))
#> mdeaths fdeaths #> Jan 1974 1863.000 689.0000 #> Feb 1974 1863.000 689.0000 #> Mar 1974 1886.884 680.7926 #> Apr 1974 1877.000 677.0000 #> May 1974 1492.000 522.0000 #> Jun 1974 1249.000 406.0000
ts_dygraphs(ts_c(mdeaths, EuStockMarkets)) # }