“Hello…is it me you’re looking for?” (via)
We start by loading the package and the included example data set.
library(decompr)## Please consider citing R and decompr,
## using citation()
## citation('decompr')data(leather)
str(leather)## List of 5
## $ inter : num [1:9, 1:9] 16.1 2.4 0.9 1.1 0.3 0 1.2 1.3 2.1 5.1 ...
## $ final : num [1:9, 1:3] 21.5 16.2 11 7.5 8.9 1.2 9.2 7.9 25.1 6.1 ...
## $ countries : chr [1:3] "Argentina" "Turkey" "Germany"
## $ industries: chr [1:3] "Agriculture" "Textile_and_Leather" "Transport_Equipment"
## $ out : num [1:9] 77.7 58.3 19 112.7 124.6 ...
## - attr(*, "class")= chr "iot"decomp(leather, method = "leontief")## Source_Country Source_Industry Using_Country Using_Industry
## 1 Argentina Agriculture Argentina Agriculture
## 2 Argentina Agriculture Argentina Textile_and_Leather
## 3 Argentina Agriculture Argentina Transport_Equipment
## 4 Argentina Agriculture Turkey Agriculture
## 5 Argentina Agriculture Turkey Textile_and_Leather
## 6 Argentina Agriculture Turkey Transport_Equipment
## 7 Argentina Agriculture Germany Agriculture
## 8 Argentina Agriculture Germany Textile_and_Leather
## 9 Argentina Agriculture Germany Transport_Equipment
## 10 Argentina Textile_and_Leather Argentina Agriculture
## 11 Argentina Textile_and_Leather Argentina Textile_and_Leather
## 12 Argentina Textile_and_Leather Argentina Transport_Equipment
## 13 Argentina Textile_and_Leather Turkey Agriculture
## 14 Argentina Textile_and_Leather Turkey Textile_and_Leather
## 15 Argentina Textile_and_Leather Turkey Transport_Equipment
## 16 Argentina Textile_and_Leather Germany Agriculture
## 17 Argentina Textile_and_Leather Germany Textile_and_Leather
## 18 Argentina Textile_and_Leather Germany Transport_Equipment
## 19 Argentina Transport_Equipment Argentina Agriculture
## 20 Argentina Transport_Equipment Argentina Textile_and_Leather
## 21 Argentina Transport_Equipment Argentina Transport_Equipment
## 22 Argentina Transport_Equipment Turkey Agriculture
## 23 Argentina Transport_Equipment Turkey Textile_and_Leather
## 24 Argentina Transport_Equipment Turkey Transport_Equipment
## 25 Argentina Transport_Equipment Germany Agriculture
## 26 Argentina Transport_Equipment Germany Textile_and_Leather
## 27 Argentina Transport_Equipment Germany Transport_Equipment
## 28 Turkey Agriculture Argentina Agriculture
## 29 Turkey Agriculture Argentina Textile_and_Leather
## 30 Turkey Agriculture Argentina Transport_Equipment
## 31 Turkey Agriculture Turkey Agriculture
## 32 Turkey Agriculture Turkey Textile_and_Leather
## 33 Turkey Agriculture Turkey Transport_Equipment
## 34 Turkey Agriculture Germany Agriculture
## 35 Turkey Agriculture Germany Textile_and_Leather
## 36 Turkey Agriculture Germany Transport_Equipment
## 37 Turkey Textile_and_Leather Argentina Agriculture
## 38 Turkey Textile_and_Leather Argentina Textile_and_Leather
## 39 Turkey Textile_and_Leather Argentina Transport_Equipment
## 40 Turkey Textile_and_Leather Turkey Agriculture
## 41 Turkey Textile_and_Leather Turkey Textile_and_Leather
## 42 Turkey Textile_and_Leather Turkey Transport_Equipment
## 43 Turkey Textile_and_Leather Germany Agriculture
## 44 Turkey Textile_and_Leather Germany Textile_and_Leather
## 45 Turkey Textile_and_Leather Germany Transport_Equipment
## 46 Turkey Transport_Equipment Argentina Agriculture
## 47 Turkey Transport_Equipment Argentina Textile_and_Leather
## 48 Turkey Transport_Equipment Argentina Transport_Equipment
## 49 Turkey Transport_Equipment Turkey Agriculture
## 50 Turkey Transport_Equipment Turkey Textile_and_Leather
## 51 Turkey Transport_Equipment Turkey Transport_Equipment
## 52 Turkey Transport_Equipment Germany Agriculture
## 53 Turkey Transport_Equipment Germany Textile_and_Leather
## 54 Turkey Transport_Equipment Germany Transport_Equipment
## 55 Germany Agriculture Argentina Agriculture
## 56 Germany Agriculture Argentina Textile_and_Leather
## 57 Germany Agriculture Argentina Transport_Equipment
## 58 Germany Agriculture Turkey Agriculture
## 59 Germany Agriculture Turkey Textile_and_Leather
## 60 Germany Agriculture Turkey Transport_Equipment
## 61 Germany Agriculture Germany Agriculture
## 62 Germany Agriculture Germany Textile_and_Leather
## 63 Germany Agriculture Germany Transport_Equipment
## 64 Germany Textile_and_Leather Argentina Agriculture
## 65 Germany Textile_and_Leather Argentina Textile_and_Leather
## 66 Germany Textile_and_Leather Argentina Transport_Equipment
## 67 Germany Textile_and_Leather Turkey Agriculture
## 68 Germany Textile_and_Leather Turkey Textile_and_Leather
## 69 Germany Textile_and_Leather Turkey Transport_Equipment
## 70 Germany Textile_and_Leather Germany Agriculture
## 71 Germany Textile_and_Leather Germany Textile_and_Leather
## 72 Germany Textile_and_Leather Germany Transport_Equipment
## 73 Germany Transport_Equipment Argentina Agriculture
## 74 Germany Transport_Equipment Argentina Textile_and_Leather
## 75 Germany Transport_Equipment Argentina Transport_Equipment
## 76 Germany Transport_Equipment Turkey Agriculture
## 77 Germany Transport_Equipment Turkey Textile_and_Leather
## 78 Germany Transport_Equipment Turkey Transport_Equipment
## 79 Germany Transport_Equipment Germany Agriculture
## 80 Germany Transport_Equipment Germany Textile_and_Leather
## 81 Germany Transport_Equipment Germany Transport_Equipment
## FVAX
## 1 28.52278143
## 2 2.79395126
## 3 0.35606694
## 4 1.81066955
## 5 3.11738415
## 6 0.35901126
## 7 1.23641723
## 8 1.30283802
## 9 4.12087363
## 10 1.06206936
## 11 19.12053186
## 12 0.41813924
## 13 0.48370042
## 14 1.83290239
## 15 0.43058635
## 16 0.59370415
## 17 1.15375958
## 18 4.74903511
## 19 0.21043693
## 20 0.14228369
## 21 1.06369578
## 22 0.03329456
## 23 0.07905450
## 24 0.04024626
## 25 0.02318460
## 26 0.07482343
## 27 0.19326212
## 28 0.71952151
## 29 1.34237213
## 30 0.11504126
## 31 34.92704803
## 32 6.99949698
## 33 1.47711579
## 34 2.55430885
## 35 1.52213499
## 36 6.18062537
## 37 0.41201175
## 38 1.38523849
## 39 0.11764036
## 40 2.69291816
## 41 40.16714096
## 42 1.31799873
## 43 1.10939926
## 44 1.15207241
## 45 9.50690317
## 46 0.03482652
## 47 0.08553139
## 48 0.02667530
## 49 0.81210167
## 50 0.90751892
## 51 3.16041392
## 52 0.11511911
## 53 0.07448266
## 54 0.64647326
## 55 0.92530356
## 56 2.25142713
## 57 0.16222512
## 58 2.31122022
## 59 2.05958253
## 60 0.51211484
## 61 29.87633590
## 62 5.24719728
## 63 9.60069308
## 64 0.64666560
## 65 0.72785683
## 66 0.08244379
## 67 1.53837777
## 68 2.54889673
## 69 0.63316614
## 70 1.45935830
## 71 18.95868110
## 72 8.15831503
## 73 0.66638333
## 74 0.65080723
## 75 0.25807221
## 76 1.29066963
## 77 1.48802285
## 78 0.56934671
## 79 1.73217260
## 80 1.51401054
## 81 34.74381924decomp(leather, method = "kww")## Country DVA_FIN DVA_INT DVA_INTrex RDV_FIN RDV_INT DDC
## 1 Argentina 19.34940 18.97119 8.411491 5.259501 0.8259724 0.8723949
## 2 Turkey 43.39461 26.20678 7.740053 10.475795 2.0075781 2.6369363
## 3 Germany 78.73101 15.23967 2.748464 5.689669 4.4335916 4.4481800
## FVA_FIN FVA_INT FDC
## 1 3.450595 3.388617 3.770832
## 2 10.205386 5.359698 5.573163
## 3 26.668992 4.455024 5.185401decomp(leather, method = "wwz")## Exporting_Country Exporting_Industry Importing_Country DVA_FIN
## 1 Argentina Agriculture Argentina 0.0000000
## 2 Argentina Agriculture Turkey 5.4744354
## 3 Argentina Agriculture Germany 7.5385668
## 4 Argentina Textile_and_Leather Argentina 0.0000000
## 5 Argentina Textile_and_Leather Turkey 1.4704511
## 6 Argentina Textile_and_Leather Germany 3.9470004
## 7 Argentina Transport_Equipment Argentina 0.0000000
## 8 Argentina Transport_Equipment Turkey 0.3534427
## 9 Argentina Transport_Equipment Germany 0.5655083
## 10 Turkey Agriculture Argentina 6.2797497
## 11 Turkey Agriculture Turkey 0.0000000
## 12 Turkey Agriculture Germany 11.8896593
## 13 Turkey Textile_and_Leather Argentina 7.2273648
## 14 Turkey Textile_and_Leather Turkey 0.0000000
## 15 Turkey Textile_and_Leather Germany 13.7238725
## 16 Turkey Transport_Equipment Argentina 0.8407805
## 17 Turkey Transport_Equipment Turkey 0.0000000
## 18 Turkey Transport_Equipment Germany 3.4331870
## 19 Germany Agriculture Argentina 7.8610949
## 20 Germany Agriculture Turkey 15.2949565
## 21 Germany Agriculture Germany 0.0000000
## 22 Germany Textile_and_Leather Argentina 6.5544233
## 23 Germany Textile_and_Leather Turkey 8.3797057
## 24 Germany Textile_and_Leather Germany 0.0000000
## 25 Germany Transport_Equipment Argentina 16.9168288
## 26 Germany Transport_Equipment Turkey 23.7239990
## 27 Germany Transport_Equipment Germany 0.0000000
## DVA_INT DVA_INTrexI1 DVA_INTrexF DVA_INTrexI2 RDV_INT RDV_FIN
## 1 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 2 2.6813686 1.13634407 1.40930027 0.504931544 0.168614730 0.70568372
## 3 5.1055954 0.41301548 2.07223830 0.184142503 0.241349852 1.40626760
## 4 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 5 1.6059520 0.51989101 0.73959485 0.238689217 0.078969730 0.33143582
## 6 6.4499428 0.53948810 2.81987967 0.236761536 0.317887034 1.98497120
## 7 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 8 0.1488951 0.02512465 0.05166467 0.011502878 0.004631660 0.01867612
## 9 0.3167888 0.02878668 0.13002229 0.012763061 0.014519380 0.09346627
## 10 1.1190525 0.42428189 0.32364669 0.127683939 0.154036261 0.17353911
## 11 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 12 9.1875645 0.44406842 2.46325705 0.104348906 0.693923875 3.73948515
## 13 1.0471326 0.46078259 0.29530382 0.140987907 0.151185856 0.13152490
## 14 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 15 12.0058480 0.62802955 3.90680904 0.127367338 0.950059562 5.57979048
## 16 0.1781916 0.02204374 0.02060577 0.006672856 0.008562439 0.01119518
## 17 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 18 0.6546040 0.03517716 0.21633307 0.007037041 0.049810123 0.31139842
## 19 2.0199906 0.28226589 0.28018271 0.060605877 0.820750168 0.57157404
## 20 2.0603035 0.11637081 0.47705677 0.015705424 0.736949683 0.97226390
## 21 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 22 0.7909465 0.11961386 0.15208027 0.027530616 0.309465907 0.25977474
## 23 3.6874998 0.18967992 0.78711215 0.023624112 1.222414373 1.69900744
## 24 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## 25 2.3746384 0.18110921 0.25997068 0.039006620 0.436904740 0.42764724
## 26 3.2689405 0.14831124 0.60720101 0.018387426 0.907106729 1.37381855
## 27 0.0000000 0.00000000 0.00000000 0.000000000 0.000000000 0.00000000
## RDV_FIN2 OVA_FIN MVA_FIN OVA_INT MVA_INT DDC_FIN
## 1 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 2 0.347019751 0.41126356 0.21430105 0.19588405 0.10207118 0.064864146
## 3 0.084582830 0.29510308 0.56633015 0.19467191 0.37359342 0.087209223
## 4 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 5 0.166207540 0.24200608 0.18754280 0.26256584 0.20347560 0.027678457
## 6 0.107403534 0.50340436 0.64959526 0.81211670 1.04795907 0.106880311
## 7 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 8 0.007976699 0.09668098 0.04987633 0.04203798 0.02168679 0.001418669
## 9 0.005810004 0.07980213 0.15468957 0.04511074 0.08744330 0.005097011
## 10 0.182994956 0.83991301 0.38033734 0.15006977 0.06795601 0.107000467
## 11 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 12 0.057224342 0.72010537 1.59023530 0.55070767 1.21614811 0.452925213
## 13 0.200948224 0.91653494 0.75610026 0.13297218 0.10969609 0.101320108
## 14 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 15 0.074151999 1.43574094 1.74038658 1.24831079 1.51318619 0.597136653
## 16 0.009457655 0.24206509 0.11715443 0.05450683 0.02638016 0.005182273
## 17 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 18 0.004084652 0.47838059 0.98843243 0.09450248 0.19526151 0.031112965
## 19 0.131707311 0.89832585 0.44057920 0.22998309 0.11279400 0.605435276
## 20 0.029961455 0.85721388 1.74782965 0.11412326 0.23269341 0.531356894
## 21 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 22 0.058019038 0.70047263 0.64510407 0.08462563 0.07793643 0.224432812
## 23 0.046204332 0.82475330 0.89554095 0.36128082 0.39228915 0.921022483
## 24 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## 25 0.084238072 5.26294538 2.92022578 0.77714301 0.43120969 0.314861124
## 26 0.035453172 4.09529671 7.38070428 0.58558374 1.05536198 0.673700534
## 27 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
## DDC_INT ODC MDC texp texpint texpfd texpdiff
## 1 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 2 0.07171574 0.33673597 0.17546624 14.0 7.9 6.1 0
## 3 0.09804177 0.18474634 0.35454534 19.2 10.8 8.4 0
## 4 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 5 0.08379741 0.36155510 0.28018741 6.8 4.9 1.9 0
## 6 0.28388511 0.82641514 1.06640983 21.7 16.6 5.1 0
## 7 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 8 0.01286371 0.03530681 0.01821428 0.9 0.4 0.5 0
## 9 0.02894336 0.04466665 0.08658247 1.7 0.9 0.8 0
## 10 0.06712404 0.20829312 0.09432126 10.7 3.2 7.5 0
## 11 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 12 0.44050153 0.51423688 1.13560832 35.2 21.0 14.2 0
## 13 0.06941710 0.19656847 0.16216018 12.1 3.2 8.9 0
## 14 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 15 0.65512387 1.31733277 1.59685374 47.1 30.2 16.9 0
## 16 0.01834868 0.02618153 0.01267131 1.6 0.4 1.2 0
## 17 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 18 0.09174341 0.10075490 0.20818030 6.9 2.0 4.9 0
## 19 0.09794912 0.32658836 0.16017355 14.9 5.7 9.2 0
## 20 0.10138593 0.16842209 0.34340686 23.8 5.9 17.9 0
## 21 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 22 0.04935351 0.12817618 0.11804455 10.3 2.4 7.9 0
## 23 0.21797800 0.50430185 0.54758551 20.7 10.6 10.1 0
## 24 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## 25 0.26247603 0.58577113 0.32502408 31.6 6.5 25.1 0
## 26 0.44822829 0.70583084 1.27207602 46.3 11.1 35.2 0
## 27 0.00000000 0.00000000 0.00000000 0.0 0.0 0.0 0
## texpdiffpercent texpfddiff texpfddiffpercent texpintdiff texpintdiffpercent
## 1 0 0 0 0 0
## 2 0 0 0 0 0
## 3 0 0 0 0 0
## 4 0 0 0 0 0
## 5 0 0 0 0 0
## 6 0 0 0 0 0
## 7 0 0 0 0 0
## 8 0 0 0 0 0
## 9 0 0 0 0 0
## 10 0 0 0 0 0
## 11 0 0 0 0 0
## 12 0 0 0 0 0
## 13 0 0 0 0 0
## 14 0 0 0 0 0
## 15 0 0 0 0 0
## 16 0 0 0 0 0
## 17 0 0 0 0 0
## 18 0 0 0 0 0
## 19 0 0 0 0 0
## 20 0 0 0 0 0
## 21 0 0 0 0 0
## 22 0 0 0 0 0
## 23 0 0 0 0 0
## 24 0 0 0 0 0
## 25 0 0 0 0 0
## 26 0 0 0 0 0
## 27 0 0 0 0 0
## DViX_Fsr
## 1 0.0000000
## 2 12.6653262
## 3 18.5127115
## 4 0.0000000
## 5 5.0399905
## 6 15.2000533
## 7 0.0000000
## 8 0.4855005
## 9 0.9139796
## 10 9.5810525
## 11 0.0000000
## 12 32.5558824
## 13 8.8144222
## 14 0.0000000
## 15 34.0847033
## 16 0.9503192
## 17 0.0000000
## 18 3.8384373
## 19 16.3782379
## 20 26.3978378
## 21 0.0000000
## 22 9.6143465
## 23 17.5471871
## 24 0.0000000
## 25 14.8384045
## 26 22.0663893
## 27 0.0000000