Display list of all available output objects (series, parameters, diagnostics)
Source:R/ud_var.R
userdefined_variables_tramoseats.RdFunction generating a comprehensive list of available output variables from the estimation process
by the tramo() and tramoseats() functions.
Some items are available in the default estimation output but the remainder can be added
using the userdefined parameter.
User-defined objects can the be retrieved from the list of lists generated by the estimation process
Usage
userdefined_variables_tramoseats(x = c("TRAMO-SEATS", "TRAMO"))Value
a vector containing the names of all the available output objects (series, diagnostics, parameters)
References
More information and examples related to 'JDemetra+' features in the online documentation: https://jdemetra-new-documentation.netlify.app/
Examples
userdefined_variables_tramoseats("tramoseats")
#> [1] "adjust"
#> [2] "arima.bd"
#> [3] "arima.bp"
#> [4] "arima.bphi(*)"
#> [5] "arima.bq"
#> [6] "arima.btheta(*)"
#> [7] "arima.d"
#> [8] "arima.p"
#> [9] "arima.phi(*)"
#> [10] "arima.q"
#> [11] "arima.theta(*)"
#> [12] "benchmarking.original"
#> [13] "benchmarking.result"
#> [14] "benchmarking.target"
#> [15] "cal"
#> [16] "cal_b"
#> [17] "cal_b(?)"
#> [18] "cal_f"
#> [19] "cal_f(?)"
#> [20] "decomposition.finalmodel.ac"
#> [21] "decomposition.finalmodel.bd"
#> [22] "decomposition.finalmodel.bp"
#> [23] "decomposition.finalmodel.bphi(*)"
#> [24] "decomposition.finalmodel.bq"
#> [25] "decomposition.finalmodel.btheta(*)"
#> [26] "decomposition.finalmodel.d"
#> [27] "decomposition.finalmodel.p"
#> [28] "decomposition.finalmodel.phi(*)"
#> [29] "decomposition.finalmodel.q"
#> [30] "decomposition.finalmodel.spectrum"
#> [31] "decomposition.finalmodel.theta(*)"
#> [32] "decomposition.i_cmp"
#> [33] "decomposition.i_cmp_b"
#> [34] "decomposition.i_cmp_eb"
#> [35] "decomposition.i_cmp_ef"
#> [36] "decomposition.i_cmp_f"
#> [37] "decomposition.i_lin"
#> [38] "decomposition.i_lin_b"
#> [39] "decomposition.i_lin_e"
#> [40] "decomposition.i_lin_eb"
#> [41] "decomposition.i_lin_ef"
#> [42] "decomposition.i_lin_f"
#> [43] "decomposition.initialmodel.ac"
#> [44] "decomposition.initialmodel.bd"
#> [45] "decomposition.initialmodel.bp"
#> [46] "decomposition.initialmodel.bphi(*)"
#> [47] "decomposition.initialmodel.bq"
#> [48] "decomposition.initialmodel.btheta(*)"
#> [49] "decomposition.initialmodel.d"
#> [50] "decomposition.initialmodel.p"
#> [51] "decomposition.initialmodel.phi(*)"
#> [52] "decomposition.initialmodel.q"
#> [53] "decomposition.initialmodel.spectrum"
#> [54] "decomposition.initialmodel.theta(*)"
#> [55] "decomposition.s_cmp"
#> [56] "decomposition.s_cmp_b"
#> [57] "decomposition.s_cmp_eb"
#> [58] "decomposition.s_cmp_ef"
#> [59] "decomposition.s_cmp_f"
#> [60] "decomposition.s_lin"
#> [61] "decomposition.s_lin_b"
#> [62] "decomposition.s_lin_e"
#> [63] "decomposition.s_lin_eb"
#> [64] "decomposition.s_lin_ef"
#> [65] "decomposition.s_lin_f"
#> [66] "decomposition.sa_cmp"
#> [67] "decomposition.sa_cmp_b"
#> [68] "decomposition.sa_cmp_eb"
#> [69] "decomposition.sa_cmp_ef"
#> [70] "decomposition.sa_cmp_f"
#> [71] "decomposition.sa_lin"
#> [72] "decomposition.sa_lin_b"
#> [73] "decomposition.sa_lin_e"
#> [74] "decomposition.sa_lin_eb"
#> [75] "decomposition.sa_lin_ef"
#> [76] "decomposition.sa_lin_f"
#> [77] "decomposition.t_cmp"
#> [78] "decomposition.t_cmp_b"
#> [79] "decomposition.t_cmp_eb"
#> [80] "decomposition.t_cmp_ef"
#> [81] "decomposition.t_cmp_f"
#> [82] "decomposition.t_lin"
#> [83] "decomposition.t_lin_b"
#> [84] "decomposition.t_lin_e"
#> [85] "decomposition.t_lin_eb"
#> [86] "decomposition.t_lin_ef"
#> [87] "decomposition.t_lin_f"
#> [88] "decomposition.y_cmp"
#> [89] "decomposition.y_cmp_b"
#> [90] "decomposition.y_cmp_eb"
#> [91] "decomposition.y_cmp_ef"
#> [92] "decomposition.y_cmp_f"
#> [93] "decomposition.y_lin"
#> [94] "decomposition.y_lin_b"
#> [95] "decomposition.y_lin_eb"
#> [96] "decomposition.y_lin_ef"
#> [97] "decomposition.y_lin_f"
#> [98] "det"
#> [99] "det_b(?)"
#> [100] "det_f(?)"
#> [101] "det_i"
#> [102] "det_i_b(?)"
#> [103] "det_i_f(?)"
#> [104] "det_s"
#> [105] "det_s_b(?)"
#> [106] "det_s_f(?)"
#> [107] "det_t"
#> [108] "det_t_b(?)"
#> [109] "det_t_f(?)"
#> [110] "diagnostics.fcast-insample-mean"
#> [111] "diagnostics.fcast-outsample-mean"
#> [112] "diagnostics.fcast-outsample-variance"
#> [113] "diagnostics.seas-i-combined"
#> [114] "diagnostics.seas-i-combined3"
#> [115] "diagnostics.seas-i-evolutive"
#> [116] "diagnostics.seas-i-f"
#> [117] "diagnostics.seas-i-friedman"
#> [118] "diagnostics.seas-i-kw"
#> [119] "diagnostics.seas-i-periodogram"
#> [120] "diagnostics.seas-i-qs"
#> [121] "diagnostics.seas-i-spectralpeaks"
#> [122] "diagnostics.seas-i-stable"
#> [123] "diagnostics.seas-lin-combined"
#> [124] "diagnostics.seas-lin-evolutive"
#> [125] "diagnostics.seas-lin-f"
#> [126] "diagnostics.seas-lin-friedman"
#> [127] "diagnostics.seas-lin-kw"
#> [128] "diagnostics.seas-lin-periodogram"
#> [129] "diagnostics.seas-lin-qs"
#> [130] "diagnostics.seas-lin-spectralpeaks"
#> [131] "diagnostics.seas-lin-stable"
#> [132] "diagnostics.seas-res-combined"
#> [133] "diagnostics.seas-res-combined3"
#> [134] "diagnostics.seas-res-evolutive"
#> [135] "diagnostics.seas-res-f"
#> [136] "diagnostics.seas-res-friedman"
#> [137] "diagnostics.seas-res-kw"
#> [138] "diagnostics.seas-res-periodogram"
#> [139] "diagnostics.seas-res-qs"
#> [140] "diagnostics.seas-res-spectralpeaks"
#> [141] "diagnostics.seas-res-stable"
#> [142] "diagnostics.seas-sa-ac1"
#> [143] "diagnostics.seas-sa-combined"
#> [144] "diagnostics.seas-sa-combined3"
#> [145] "diagnostics.seas-sa-evolutive"
#> [146] "diagnostics.seas-sa-f"
#> [147] "diagnostics.seas-sa-friedman"
#> [148] "diagnostics.seas-sa-kw"
#> [149] "diagnostics.seas-sa-periodogram"
#> [150] "diagnostics.seas-sa-qs"
#> [151] "diagnostics.seas-sa-spectralpeaks"
#> [152] "diagnostics.seas-sa-stable"
#> [153] "diagnostics.seas-si-combined"
#> [154] "diagnostics.seas-si-combined3"
#> [155] "diagnostics.seas-si-evolutive"
#> [156] "diagnostics.seas-si-stable"
#> [157] "diagnostics.td-i-all"
#> [158] "diagnostics.td-i-last"
#> [159] "diagnostics.td-res-all"
#> [160] "diagnostics.td-res-last"
#> [161] "diagnostics.td-sa-all"
#> [162] "diagnostics.td-sa-last"
#> [163] "ee"
#> [164] "ee_b(?)"
#> [165] "ee_f(?)"
#> [166] "i"
#> [167] "i_b"
#> [168] "i_eb"
#> [169] "i_ef"
#> [170] "i_f"
#> [171] "l"
#> [172] "likelihood.adjustedll"
#> [173] "likelihood.aic"
#> [174] "likelihood.aicc"
#> [175] "likelihood.bic"
#> [176] "likelihood.bic2"
#> [177] "likelihood.bicc"
#> [178] "likelihood.df"
#> [179] "likelihood.hannanquinn"
#> [180] "likelihood.ll"
#> [181] "likelihood.neffectiveobs"
#> [182] "likelihood.nobs"
#> [183] "likelihood.nparams"
#> [184] "likelihood.ssqerr"
#> [185] "log"
#> [186] "mhe"
#> [187] "mhe_b(?)"
#> [188] "mhe_f(?)"
#> [189] "mode"
#> [190] "omhe"
#> [191] "omhe_b(?)"
#> [192] "omhe_f(?)"
#> [193] "out"
#> [194] "out_b(?)"
#> [195] "out_f(?)"
#> [196] "out_i"
#> [197] "out_i_b(?)"
#> [198] "out_i_f(?)"
#> [199] "out_s"
#> [200] "out_s_b(?)"
#> [201] "out_s_f(?)"
#> [202] "out_t"
#> [203] "out_t_b(?)"
#> [204] "out_t_f(?)"
#> [205] "period"
#> [206] "reg_i"
#> [207] "reg_i_b(?)"
#> [208] "reg_i_f(?)"
#> [209] "reg_s"
#> [210] "reg_s_b(?)"
#> [211] "reg_s_f(?)"
#> [212] "reg_sa"
#> [213] "reg_sa_b(?)"
#> [214] "reg_sa_f(?)"
#> [215] "reg_t"
#> [216] "reg_t_b(?)"
#> [217] "reg_t_f(?)"
#> [218] "reg_u"
#> [219] "reg_u_b(?)"
#> [220] "reg_u_f(?)"
#> [221] "reg_y"
#> [222] "reg_y_b(?)"
#> [223] "reg_y_f(?)"
#> [224] "regression.description"
#> [225] "regression.details.coefficients"
#> [226] "regression.details.covar"
#> [227] "regression.details.covar-ml"
#> [228] "regression.easter"
#> [229] "regression.espan.end"
#> [230] "regression.espan.missing"
#> [231] "regression.espan.n"
#> [232] "regression.espan.start"
#> [233] "regression.leaster"
#> [234] "regression.lp"
#> [235] "regression.mean"
#> [236] "regression.missing(*)"
#> [237] "regression.ml.parameters"
#> [238] "regression.ml.pcorr"
#> [239] "regression.ml.pcovar"
#> [240] "regression.ml.pcovar-ml"
#> [241] "regression.ml.pscore"
#> [242] "regression.mu"
#> [243] "regression.nao"
#> [244] "regression.nlp"
#> [245] "regression.nls"
#> [246] "regression.nmh"
#> [247] "regression.nout"
#> [248] "regression.nso"
#> [249] "regression.ntc"
#> [250] "regression.ntd"
#> [251] "regression.nusers"
#> [252] "regression.out(*)"
#> [253] "regression.outlier(*)"
#> [254] "regression.td(*)"
#> [255] "regression.type"
#> [256] "regression.user(*)"
#> [257] "residuals.bp"
#> [258] "residuals.bp2"
#> [259] "residuals.doornikhansen"
#> [260] "residuals.kurtosis"
#> [261] "residuals.lb"
#> [262] "residuals.lb2"
#> [263] "residuals.lruns"
#> [264] "residuals.ludruns"
#> [265] "residuals.mean"
#> [266] "residuals.nruns"
#> [267] "residuals.nudruns"
#> [268] "residuals.res"
#> [269] "residuals.seasbp"
#> [270] "residuals.seaslb"
#> [271] "residuals.ser"
#> [272] "residuals.skewness"
#> [273] "residuals.tsres"
#> [274] "residuals.type"
#> [275] "s"
#> [276] "s_b"
#> [277] "s_eb"
#> [278] "s_ef"
#> [279] "s_f"
#> [280] "sa"
#> [281] "sa_b"
#> [282] "sa_eb"
#> [283] "sa_ef"
#> [284] "sa_f"
#> [285] "seasonal"
#> [286] "seats.ar_root(*)"
#> [287] "seats.ivar-estimate"
#> [288] "seats.ivar-estimator"
#> [289] "seats.ivar-pvalue"
#> [290] "seats.ma_root(*)"
#> [291] "seats.model_changed"
#> [292] "seats.parameters_cutoff"
#> [293] "seats.savar-estimate"
#> [294] "seats.savar-estimator"
#> [295] "seats.savar-pvalue"
#> [296] "seats.seasonality"
#> [297] "seats.sicorr-estimate"
#> [298] "seats.sicorr-estimator"
#> [299] "seats.sicorr-pvalue"
#> [300] "seats.svar-estimate"
#> [301] "seats.svar-estimator"
#> [302] "seats.svar-pvalue"
#> [303] "seats.ticorr-estimate"
#> [304] "seats.ticorr-estimator"
#> [305] "seats.ticorr-pvalue"
#> [306] "seats.tscorr-estimate"
#> [307] "seats.tscorr-estimator"
#> [308] "seats.tscorr-pvalue"
#> [309] "seats.tvar-estimate"
#> [310] "seats.tvar-estimator"
#> [311] "seats.tvar-pvalue"
#> [312] "span.end"
#> [313] "span.missing"
#> [314] "span.n"
#> [315] "span.start"
#> [316] "t"
#> [317] "t_b"
#> [318] "t_eb"
#> [319] "t_ef"
#> [320] "t_f"
#> [321] "tde"
#> [322] "tde_b(?)"
#> [323] "tde_f(?)"
#> [324] "variancedecomposition.cycle"
#> [325] "variancedecomposition.irregular"
#> [326] "variancedecomposition.others"
#> [327] "variancedecomposition.seasonality"
#> [328] "variancedecomposition.tdh"
#> [329] "variancedecomposition.total"
#> [330] "y"
#> [331] "y_b"
#> [332] "y_b(?)"
#> [333] "y_eb(?)"
#> [334] "y_ef(?)"
#> [335] "y_f"
#> [336] "y_f(?)"
#> [337] "yc"
#> [338] "ycal"
#> [339] "ycal_f(?)"
userdefined_variables_tramoseats("tramo")
#> [1] "adjust" "arima.bd"
#> [3] "arima.bp" "arima.bphi(*)"
#> [5] "arima.bq" "arima.btheta(*)"
#> [7] "arima.d" "arima.p"
#> [9] "arima.phi(*)" "arima.q"
#> [11] "arima.theta(*)" "cal"
#> [13] "cal_b(?)" "cal_f(?)"
#> [15] "det" "det_b(?)"
#> [17] "det_f(?)" "det_i"
#> [19] "det_i_b(?)" "det_i_f(?)"
#> [21] "det_s" "det_s_b(?)"
#> [23] "det_s_f(?)" "det_t"
#> [25] "det_t_b(?)" "det_t_f(?)"
#> [27] "ee" "ee_b(?)"
#> [29] "ee_f(?)" "l"
#> [31] "likelihood.adjustedll" "likelihood.aic"
#> [33] "likelihood.aicc" "likelihood.bic"
#> [35] "likelihood.bic2" "likelihood.bicc"
#> [37] "likelihood.df" "likelihood.hannanquinn"
#> [39] "likelihood.ll" "likelihood.neffectiveobs"
#> [41] "likelihood.nobs" "likelihood.nparams"
#> [43] "likelihood.ssqerr" "log"
#> [45] "mhe" "mhe_b(?)"
#> [47] "mhe_f(?)" "omhe"
#> [49] "omhe_b(?)" "omhe_f(?)"
#> [51] "out" "out_b(?)"
#> [53] "out_f(?)" "out_i"
#> [55] "out_i_b(?)" "out_i_f(?)"
#> [57] "out_s" "out_s_b(?)"
#> [59] "out_s_f(?)" "out_t"
#> [61] "out_t_b(?)" "out_t_f(?)"
#> [63] "period" "reg_i"
#> [65] "reg_i_b(?)" "reg_i_f(?)"
#> [67] "reg_s" "reg_s_b(?)"
#> [69] "reg_s_f(?)" "reg_sa"
#> [71] "reg_sa_b(?)" "reg_sa_f(?)"
#> [73] "reg_t" "reg_t_b(?)"
#> [75] "reg_t_f(?)" "reg_u"
#> [77] "reg_u_b(?)" "reg_u_f(?)"
#> [79] "reg_y" "reg_y_b(?)"
#> [81] "reg_y_f(?)" "regression.description"
#> [83] "regression.details.coefficients" "regression.details.covar"
#> [85] "regression.details.covar-ml" "regression.easter"
#> [87] "regression.espan.end" "regression.espan.missing"
#> [89] "regression.espan.n" "regression.espan.start"
#> [91] "regression.leaster" "regression.lp"
#> [93] "regression.mean" "regression.missing(*)"
#> [95] "regression.ml.parameters" "regression.ml.pcorr"
#> [97] "regression.ml.pcovar" "regression.ml.pcovar-ml"
#> [99] "regression.ml.pscore" "regression.mu"
#> [101] "regression.nao" "regression.nlp"
#> [103] "regression.nls" "regression.nmh"
#> [105] "regression.nout" "regression.nso"
#> [107] "regression.ntc" "regression.ntd"
#> [109] "regression.nusers" "regression.out(*)"
#> [111] "regression.outlier(*)" "regression.td(*)"
#> [113] "regression.type" "regression.user(*)"
#> [115] "residuals.bp" "residuals.bp2"
#> [117] "residuals.doornikhansen" "residuals.kurtosis"
#> [119] "residuals.lb" "residuals.lb2"
#> [121] "residuals.lruns" "residuals.ludruns"
#> [123] "residuals.mean" "residuals.nruns"
#> [125] "residuals.nudruns" "residuals.res"
#> [127] "residuals.seasbp" "residuals.seaslb"
#> [129] "residuals.ser" "residuals.skewness"
#> [131] "residuals.tsres" "residuals.type"
#> [133] "span.end" "span.missing"
#> [135] "span.n" "span.start"
#> [137] "tde" "tde_b(?)"
#> [139] "tde_f(?)" "y"
#> [141] "y_b(?)" "y_eb(?)"
#> [143] "y_ef(?)" "y_f(?)"
#> [145] "yc" "ycal"
#> [147] "ycal_f(?)"
y = rjd3toolkit::ABS$X0.2.09.10.M
m <- tramoseats(y,"rsafull", userdefined=c("ycal","variancedecomposition.seasonality"))
m$user_defined$ycal
#> Jan Feb Mar Apr May Jun Jul
#> 1982 443.8278 510.6464 441.5556 447.2441
#> 1983 385.2708 381.9008 463.5100 496.9624 524.2277 456.2137 471.7869
#> 1984 425.7682 401.8572 484.2305 490.2518 587.0210 494.0008 557.9031
#> 1985 506.9057 457.1696 543.2305 576.5562 692.6467 564.5811 606.3516
#> 1986 564.2652 483.1348 542.3265 606.3810 732.1905 570.9575 651.1328
#> 1987 598.0465 518.4960 631.6257 648.5345 719.3164 674.5692 713.0216
#> 1988 635.6984 540.2656 665.7617 706.5474 760.5717 712.3406 688.5893
#> 1989 648.3545 557.6964 693.4493 718.9404 769.3060 777.8438 726.5485
#> 1990 682.1958 592.2493 726.0960 748.6074 800.6617 821.7550 729.2576
#> 1991 681.3724 610.9402 706.5284 771.9465 819.1489 750.5975 799.1810
#> 1992 731.9128 635.8665 738.5989 799.8688 885.1420 831.0129 779.5861
#> 1993 767.7745 649.6355 777.8968 810.9673 921.1143 882.6137 751.5766
#> 1994 757.6383 671.2563 806.5525 821.0640 932.2342 900.3907 788.7294
#> 1995 772.4813 689.5431 822.8058 887.8325 932.6628 897.0479 894.6980
#> 1996 838.0084 705.3053 838.9181 878.2254 952.2779 913.0980 913.3497
#> 1997 831.7101 734.9064 849.9486 866.2586 969.1100 856.5394 953.4305
#> 1998 893.6114 723.5909 866.4191 933.3085 977.4240 854.5549 1030.9091
#> 1999 949.0141 746.0200 916.1835 935.0630 1027.3889 889.8768 1027.2683
#> 2000 939.7073 770.2115 914.8035 1004.1523 1058.4999 1152.9657 873.0570
#> 2001 977.6262 823.0063 1016.5144 1045.4950 1103.0575 1011.7933 1130.1799
#> 2002 1009.1970 850.0829 1025.5075 1109.4281 1177.8851 1148.6583 1082.0378
#> 2003 1087.2862 909.7928 1138.5197 1185.9589 1205.1528 1277.1743 1160.4931
#> 2004 1152.3525 979.4507 1167.1031 1231.9334 1300.7971 1377.1002 1272.1761
#> 2005 1266.2527 1048.0045 1245.3569 1168.0058 1297.9410 1434.7448 1299.7060
#> 2006 1225.5594 1048.4086 1221.7328 1321.5573 1275.0684 1413.6319 1434.6055
#> 2007 1274.7666 1057.8046 1330.3101 1310.4905 1340.2615 1472.4263 1501.3282
#> 2008 1372.3665 1108.6542 1339.1719 1424.9903 1384.4011 1446.0679 1553.5095
#> 2009 1413.5290 1067.5036 1460.2463 1451.8667 1530.7133 1509.6064 1553.5344
#> 2010 1480.0388 1123.3743 1399.7360 1363.2575 1450.0489 1543.5542 1540.1718
#> 2011 1435.2151 1129.0321 1330.6594 1417.5987 1446.5030 1452.2080 1543.9109
#> 2012 1398.7619 1097.1817 1347.8930 1399.6272 1430.3912 1595.7290 1461.3900
#> 2013 1371.9738 1125.0919 1372.6810 1381.6006 1426.1420 1545.0108 1398.7931
#> 2014 1435.1426 1075.8893 1347.4271 1399.8856 1375.3413 1507.9715 1474.2779
#> 2015 1433.2073 1064.6748 1427.4659 1399.2055 1439.3380 1489.8874 1524.0601
#> 2016 1530.5119 1133.0774 1389.6337 1468.9923 1488.3919 1574.7464 1479.2329
#> 2017 1466.6261 1103.6731 1389.9049 1492.0682 1460.9572 1540.4532 1468.6419
#> Aug Sep Oct Nov Dec
#> 1982 450.1007 458.8776 456.0708 526.0734 879.5812
#> 1983 460.8996 477.5088 493.0695 565.8239 938.8132
#> 1984 497.8985 525.3881 559.8794 616.4978 1056.0404
#> 1985 567.4574 580.9652 625.5077 688.1853 1219.1939
#> 1986 585.4268 665.9170 658.3259 704.3698 1375.9594
#> 1987 611.2314 668.9000 690.7880 766.7792 1433.5330
#> 1988 654.7350 715.5213 741.2806 865.8987 1529.4559
#> 1989 710.6302 748.2078 771.7626 911.4408 1581.0856
#> 1990 751.1008 744.7688 791.2345 921.4822 1588.1246
#> 1991 750.5050 765.0252 842.9775 932.6189 1643.0114
#> 1992 735.1845 815.6541 879.1936 999.3303 1620.8613
#> 1993 748.1487 833.3991 893.5038 975.8868 1691.8066
#> 1994 803.5063 877.4608 949.5626 995.3407 1770.5644
#> 1995 857.9991 845.8430 945.1704 1053.1197 1871.0286
#> 1996 865.9448 860.1504 916.7110 1067.7682 1886.6448
#> 1997 842.2248 944.7993 966.2238 1116.8014 1890.1712
#> 1998 883.8267 934.6492 994.9257 1173.7953 1939.7515
#> 1999 923.5073 988.8906 1051.4713 1214.5264 2046.9821
#> 2000 990.8373 1041.1135 1098.9686 1216.0109 2193.7135
#> 2001 952.4757 1017.9143 1138.6695 1330.3374 2305.8338
#> 2002 1038.3739 1093.7333 1189.3582 1475.9803 2401.0163
#> 2003 1109.3995 1205.4718 1301.7168 1535.7652 2438.4828
#> 2004 1197.9414 1300.2683 1368.4138 1546.0261 2473.4697
#> 2005 1217.8332 1264.0580 1335.4430 1532.6098 2470.5097
#> 2006 1216.6523 1203.5098 1380.4868 1601.5825 2630.5421
#> 2007 1301.1234 1359.9994 1449.0877 1669.7476 2790.9783
#> 2008 1277.8444 1391.6951 1436.5273 1684.1964 2903.1042
#> 2009 1362.9769 1392.8203 1494.6778 1791.6963 2744.2422
#> 2010 1359.3370 1402.9756 1475.8075 1715.8505 2722.3201
#> 2011 1301.1210 1331.2277 1427.1887 1651.6050 2659.9868
#> 2012 1344.1480 1374.5712 1451.0995 1654.9089 2797.3792
#> 2013 1302.6678 1402.5291 1436.6748 1647.5577 2798.2425
#> 2014 1263.5387 1364.6319 1462.5398 1696.0548 2773.1430
#> 2015 1353.2232 1393.0193 1525.8515 1785.4028 2860.5860
#> 2016 1301.5234 1378.5137 1521.3728 1675.7821 2776.7905
#> 2017 1279.3896
m$user_defined$variancedecomposition.seasonality
#> [1] 0.9704556