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Function:
util_doublediff_ts <- function(.time_series){ time_series <- .time_series f <- stats::frequency(time_series) # Double Differencing diff_order <- 1 while ((ts_adf_test(diff(diff(time_series, diff_order)))$p_value >= 0.05) & (diff_order <= f)){ diff_order <- diff_order + 1 } if (diff_order <= f){ rlang::inform( message = paste0("Double Differencing of order " , diff_order , " made the time series stationary"), use_cli_format = TRUE ) # Return stationary_ts <- diff(diff(time_series, diff_order)) return( list( stationary_ts = stationary_ts, ndiffs = diff_order, adf_stats = ts_adf_test(stationary_ts), trans_type = "double_diff", ret = TRUE ) ) } else { rlang::inform( message = "Data requires more double differencing than its frequency, trying differencing log.", use_cli_format = TRUE ) return(list(ret = FALSE)) } }
Example:
> util_doublediff_ts(x) Differencing of order 1 made the time series stationary $stationary_ts Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1949 6 14 -3 -8 14 13 0 -12 -17 -15 14 1950 -3 11 15 -6 -10 24 21 0 -12 -25 -19 26 1951 5 5 28 -15 9 6 21 0 -15 -22 -16 20 1952 5 9 13 -12 2 35 12 12 -33 -18 -19 22 1953 2 0 40 -1 -6 14 21 8 -35 -26 -31 21 1954 3 -16 47 -8 7 30 38 -9 -34 -30 -26 26 1955 13 -9 34 2 1 45 49 -17 -35 -38 -37 41 1956 6 -7 40 -4 5 56 39 -8 -50 -49 -35 35 1957 9 -14 55 -8 7 67 43 2 -63 -57 -42 31 1958 4 -22 44 -14 15 72 56 14 -101 -45 -49 27 1959 23 -18 64 -10 24 52 76 11 -96 -56 -45 43 1960 12 -26 28 42 11 63 87 -16 -98 -47 -71 42 $ndiffs [1] 1 $adf_stats $adf_stats$test_stat [1] -7.318571 $adf_stats$p_value [1] 0.01 $trans_type [1] "double_diff" > util_doublediff_ts(BJsales) Differencing of order 1 made the time series stationary $stationary_ts Time Series: Start = 2 End = 150 Frequency = 1 [1] -0.6 -0.1 -0.5 0.1 1.2 -1.6 1.4 0.3 0.9 0.4 -0.1 0.0 2.0 1.4 2.2 3.4 0.0 -0.7 [19] -1.0 0.7 3.7 0.5 1.4 3.6 1.1 0.7 3.3 -1.0 1.0 -2.1 0.6 -1.5 -1.4 0.7 0.5 -1.7 [37] -1.1 -0.1 -2.7 0.3 0.6 0.8 0.0 1.0 1.0 4.2 2.0 -2.7 -1.5 -0.7 -1.3 -1.7 -1.1 -0.1 [55] -1.7 -1.8 1.6 0.7 -1.0 -1.5 -0.7 1.7 -0.2 0.4 -1.8 0.8 0.7 -2.0 -0.3 -0.6 1.3 -1.4 [73] -0.3 -0.9 0.0 0.0 1.8 1.3 0.9 -0.3 2.3 0.5 2.2 1.3 1.9 1.5 4.5 1.7 4.8 2.5 [91] 1.4 3.5 3.2 1.5 0.7 0.3 1.4 -0.1 0.2 1.6 -0.4 0.9 0.6 1.0 -2.5 -1.4 1.2 1.6 [109] 0.3 2.3 0.7 1.3 1.2 -0.2 1.4 3.0 -0.4 1.3 -0.9 1.2 -0.8 -1.0 -0.8 -0.1 -1.5 0.3 [127] 0.2 -0.5 -0.1 0.3 1.3 -1.1 -0.1 -0.5 0.3 -0.7 0.7 -0.5 0.6 -0.3 0.2 2.1 1.5 1.8 [145] 0.4 -0.5 -1.0 0.4 0.5 $ndiffs [1] 1 $adf_stats $adf_stats$test_stat [1] -2.110919 $adf_stats$p_value [1] 0.5301832 $trans_type [1] "double_diff" > util_doublediff_ts(runif(150)*-1) Differencing of order 1 made the time series stationary $stationary_ts [1] -0.689333154 0.260159930 0.277309661 0.221469726 -0.123542700 -0.038014818 -0.002476170 [8] -0.028581971 -0.067552302 -0.248127715 0.593783911 -0.518097477 0.165221553 0.373704780 [15] -0.671486184 0.064742276 0.614037437 -0.295509911 -0.406259891 0.270850127 -0.161971189 [22] 0.442062502 -0.657035755 0.175304845 0.597266248 -0.179320377 -0.046348170 -0.154263453 [29] 0.398233210 -0.339818930 -0.474199458 0.026743063 0.189082395 0.452681023 -0.645661020 [36] 0.360849404 0.400089158 -0.629729028 0.092889452 0.250838986 -0.365986224 0.085453524 [43] -0.154238579 0.046660959 -0.138852333 0.176849493 -0.094087358 0.105939786 -0.258282681 [50] 0.625417707 -0.351759415 0.427980996 -0.619669030 0.252898948 0.441128853 -0.234617770 [57] -0.148070934 0.236253734 -0.243012355 0.353749325 -0.121613016 -0.406473351 0.617133764 [64] -0.553476567 0.002602441 -0.130649057 0.730006680 -0.633157080 0.573926369 -0.675211066 [71] 0.248724615 0.492853190 -0.384213782 0.418047597 -0.104070854 -0.192895524 0.121380806 [78] -0.257208959 -0.392600230 0.726626471 -0.668900975 0.492013842 -0.393051865 0.109835488 [85] 0.518080311 -0.433621148 0.063655874 0.189968794 -0.492744255 0.474772725 -0.150407062 [92] 0.184299142 -0.681272978 0.502469075 0.431732712 -0.499589271 -0.204480565 0.137742559 [99] -0.222191089 -0.147431914 0.903980240 -0.740417250 -0.190976294 0.039301247 -0.017045095 [106] 0.163258540 0.176852161 0.007079589 0.581815264 -0.882883749 0.455174983 0.159827258 [113] -0.415086999 -0.018173792 0.624411809 -0.450806658 0.174595037 0.091103450 0.164639386 [120] -0.208004421 -0.429606852 0.353566914 0.087987163 -0.566241152 -0.054499863 -0.025563455 [127] 0.150272018 0.087660756 0.041927404 0.246565716 -0.533904206 0.519691182 0.335520149 [134] -0.376228777 -0.407527806 0.201505567 0.510825467 -0.593377211 0.740135131 -0.197717555 [141] -0.556495546 0.162753598 0.045959117 -0.338688185 0.021939719 0.882526578 -0.415707064 [148] -0.070062517 0.150656416 $ndiffs [1] 1 $adf_stats $adf_stats$test_stat [1] -4.464509 $adf_stats$p_value [1] 0.01 $trans_type [1] "double_diff"
The text was updated successfully, but these errors were encountered:
auto_stationarize()
9cfdfa9
Merge pull request #493 from spsanderson/development
dd2ba8e
Fixes #486
spsanderson
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Function:
Example:
The text was updated successfully, but these errors were encountered: