Changes the reference year of a chain-linked series (with annual overlap).
Examples
change_ref_year(gdp_volume, 2015)
#> Qtr1 Qtr2 Qtr3 Qtr4
#> 1995 63.45124 67.50745 65.27715 70.10817
#> 1996 64.96059 68.94137 67.31702 72.06976
#> 1997 66.63565 71.22110 69.78353 75.45228
#> 1998 69.93211 74.31670 72.84880 78.17332
#> 1999 72.96854 77.63020 76.25368 81.43670
#> 2000 77.34495 81.86492 79.95433 85.15784
#> 2001 80.70925 84.94329 83.01409 88.36598
#> 2002 82.80101 87.59570 85.14553 90.77726
#> 2003 85.86117 89.83043 87.55681 93.25047
#> 2004 88.09934 92.74456 90.57541 96.18301
#> 2005 90.88507 96.25814 93.81338 99.69974
#> 2006 95.16302 99.87471 97.30352 103.70661
#> 2007 98.49848 103.40522 100.70968 107.42883
#> 2008 100.66222 105.30704 101.62194 105.59702
#> 2009 95.97397 100.52102 98.03501 103.08866
#> 2010 95.99081 100.74591 98.17384 103.08235
#> 2011 96.27694 100.35905 97.73056 101.07960
#> 2012 94.28296 97.18842 94.97122 97.67355
#> 2013 91.48738 95.92444 94.06831 97.15327
#> 2014 92.21522 96.79102 95.79536 99.58887
#> 2015 95.44493 100.84772 99.96972 103.73763
#> 2016 98.89095 104.05665 102.82881 105.88424
#> 2017 101.17216 107.36336 105.83766 109.20945
#> 2018 103.76333 110.04600 107.93819 111.98169
#> 2019 106.66485 112.06805 109.87812 113.62446
#> 2020 102.24984 87.77904 100.19127 103.63434
#> 2021 98.66124 104.79917 105.71192 111.00405
#> 2022 105.92953 112.40351 112.07366 115.73375
#> 2023 110.75484 114.94368 114.03496 118.34392
#> 2024 113.90055 118.91481 117.91383 122.21935
plot(gdp_volume)
lines(change_ref_year(gdp_volume, 2015))
