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Commit 084a3a40 authored by Bartke, Simon's avatar Bartke, Simon
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Added several .rda datasets under "data" incl. raw data + parsing file under "data-raw"

parent 2c7c9acc
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Showing with 888 additions and 3 deletions
......@@ -10,3 +10,6 @@ License: `use_mit_license()`, `use_gpl3_license()` or friends to pick a
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Depends:
R (>= 2.10)
LazyData: true
## code to prepare `DATASET` dataset goes here
usethis::use_data(DATASET, overwrite = TRUE)
k,l,q
10.1,12.2,11
28.2,30.2,34.6
24,23,21.9
21.3,22.3,28.2
14.3,15.7,14.7
18.4,20.8,20.2
10,11.5,9.7
24,25.9,22.2
20.3,21.5,17.3
20.5,22.4,19.5
12.2,14.4,13.6
29.2,29.5,34
25.5,26.8,35.1
10.8,12.7,10.6
19.9,19.6,18.6
24,25,22.9
23.2,25.7,27.4
16.2,18,16.4
19.4,18.3,22
17.2,19.7,27
25,23.7,27.1
20.5,21.2,15.6
22.1,23,13.2
24.3,26.3,27.3
20.8,22.6,15.4
28.9,30.5,30.6
28.1,28.6,24.4
27.9,26.7,36.1
20.7,21.7,24.8
17.1,18.5,21
11.1,13.5,10.2
11.7,13.4,20.4
15.4,15.7,14.3
## code to prepare `eduinc` dataset goes here
#install.packages("tidyverse")
library(tidyverse)
cobb_douglas <-readr::read_csv(here::here("data-raw", "cobb.csv"), col_names = T)
##Dies sollte die letzte Zeile des Scripts sein
usethis::use_data(cobb_douglas, overwrite = TRUE)
faminc,he,we,kl6,xtra_x5,xtra_x6
61651.8,12,12,1,11.01355,23.44493
82404,9,12,0,9.37219,22.59274
79531.2,12,12,1,12.4262,23.16608
27594,10,12,0,10.25664,23.01776
103194,12,14,1,11.7983,25.61441
73691.1,11,12,0,11.4462,24.16109
79954.56,12,16,0,11.69595,26.28513
71442,8,12,0,5.067864,16.52149
77130.9,4,12,0,4.254293,17.90169
77206.5,12,12,0,10.87064,21.94787
122094,12,12,0,13.67145,25.39433
108486,14,11,0,10.16985,22.11444
58590,16,12,1,15.54374,28.31528
63730.8,12,12,0,12.48048,25.49344
118809.2,17,10,0,16.50797,27.28818
72500.4,12,11,0,9.577363,19.66447
70308,12,12,0,11.77196,23.30458
72390.78,12,12,0,10.99401,23.96251
68418,11,12,0,12.46049,24.54436
76734,10,12,0,8.043671,19.57598
114983.8,16,16,0,15.58347,31.64995
53260.2,12,12,0,11.43787,24.13268
85726.62,17,13,0,12.62942,27.4358
45964.8,17,12,0,13.37159,24.98442
47200.86,12,12,1,14.21545,26.9775
112833,17,17,0,18.00755,35.3681
68418,16,12,0,16.02478,26.45397
98280,13,12,0,15.01713,28.55025
98658,17,17,1,17.70723,35.51226
67019.4,10,12,0,9.880295,21.70343
25397.82,10,11,0,11.23908,23.74661
70119,17,16,0,14.55531,30.56993
92988,13,13,0,12.36958,26.45498
87318,8,12,0,8.76188,22.67054
93199.68,17,16,0,15.03384,30.76498
60090.66,8,11,0,9.255746,20.83517
76809.6,16,12,0,12.82926,22.92268
80831.52,12,10,0,10.70583,21.10982
96620.58,12,14,0,8.422699,22.54976
138159,17,17,0,19.04921,34.33235
59761.8,16,12,1,16.42391,27.47393
96390,12,12,0,12.97607,26.34905
90720,16,16,1,14.38236,29.87462
83810.16,8,12,0,8.755849,20.56396
67775.4,12,12,0,12.22999,23.9445
26460,12,12,0,10.70799,22.75629
95634,16,16,0,16.48337,32.31929
61281.36,11,12,0,10.85015,23.18777
85617,13,12,0,8.691602,20.83854
26403.3,12,12,0,10.24141,20.76404
113400,12,12,0,11.1862,23.29148
69930,12,12,0,14.57874,27.30532
62967.24,10,12,0,10.2918,22.46465
38934,11,8,0,11.45343,16.57127
41580,4,10,0,2.257573,12.07168
75222,14,16,0,11.93145,28.52621
122850,15,14,0,14.48516,28.06972
140994,17,17,0,16.06282,33.59706
113468,16,14,0,16.61601,29.96894
48410.46,12,12,0,12.63574,22.40191
149310,13,14,0,11.226,24.71236
83349,12,12,0,12.29303,24.83777
58590,8,8,0,9.911428,17.19065
52201.8,12,12,0,12.08055,22.57621
45171,12,12,0,11.51402,23.21585
72481.5,12,8,0,11.25421,18.13024
67662,17,17,0,16.57473,33.24966
59913,8,12,0,9.268838,20.71835
102124.3,8,12,0,4.895136,15.72773
71442,10,12,0,11.61885,25.68522
82404,16,12,0,15.94126,27.6119
126826.6,12,12,0,11.51175,22.47992
85617,7,9,0,2.883456,12.20147
57456,9,10,2,9.327453,19.47381
49593.6,12,12,0,10.6124,22.89931
81874.8,12,12,0,14.25719,24.62286
68758.2,12,12,0,12.82624,24.61933
36288,17,17,0,19.79243,36.95428
51993.9,14,15,2,12.37132,28.41264
133623,16,12,0,17.16671,29.90541
46890.9,12,6,0,13.46162,18.77767
46040.4,12,14,0,11.30129,27.56301
86796.36,11,12,0,6.784826,17.65819
97146,17,14,0,13.30231,27.88918
12492.9,8,9,0,9.154783,19.37544
124551,17,17,0,12.29778,29.11416
64260,15,13,0,13.59086,26.67946
50085,10,9,0,11.32563,19.19075
191835,16,15,0,14.57906,26.74174
59088.96,8,12,1,8.006725,17.96621
107034.5,14,12,0,14.35837,27.17823
65356.2,12,12,2,14.53136,28.17517
127008,17,12,1,14.79749,25.8792
110376,12,12,0,14.68912,26.4978
75108.6,17,12,0,15.86251,27.14937
61330.5,12,12,0,10.47064,22.27989
108108,10,12,0,6.922242,19.10381
116424,17,13,0,14.94725,27.61118
97146,17,12,0,14.79096,26.99482
102060,13,13,0,14.24356,26.5947
45651.06,10,12,0,7.89651,21.06529
111933.4,12,12,0,13.45304,24.70975
92530.62,14,12,1,15.82295,28.04056
301455,17,16,0,16.52184,32.55837
75789,12,12,0,12.34603,24.30456
81270,14,13,0,13.66832,26.50016
60933.6,8,11,0,4.299373,15.81365
93313.08,13,12,0,11.0804,22.50066
93248.82,10,12,0,7.294176,18.97268
99792,17,12,0,19.69677,32.6968
61406.1,16,17,2,16.14114,32.54597
88074,14,14,0,12.85408,25.47584
102816,16,16,0,19.5063,36.90759
192780,17,17,0,16.60786,34.13493
207900,12,12,0,12.76633,24.34382
58170.42,9,11,0,10.02706,21.67332
87507,14,12,0,9.260128,19.95987
112545.7,6,12,0,5.893409,17.60586
344146.3,13,17,1,12.87399,30.06348
106596,12,10,0,14.2365,23.35832
136647,16,13,0,15.48968,28.39844
59164.56,12,11,0,10.32609,20.66979
71442,14,12,0,15.27604,25.99383
89208,12,16,1,10.27328,26.00329
136836,12,17,0,12.96351,28.41811
70686,12,12,0,13.74058,27.33281
91192.5,17,16,0,13.84994,28.31731
59724,12,12,1,12.84787,24.58782
74624.76,12,16,0,12.51886,30.29577
85428,12,8,0,12.62342,18.95006
66150,10,12,1,6.788776,18.08559
74919.6,12,12,0,11.13977,23.70416
76185.9,12,12,0,11.51431,22.90484
140994,12,13,0,11.93803,24.57701
93970.8,10,11,0,12.12875,23.61146
81081,10,12,0,10.03133,21.61209
112077,11,12,0,13.60984,23.81944
86940,13,14,1,16.08665,29.97952
79833.6,14,12,1,13.67389,26.30758
98280,13,12,0,10.5392,22.96875
105840,14,12,0,14.39616,25.07248
171990,13,17,0,12.74235,29.89551
60480,17,14,0,12.64806,24.90808
68916.96,8,12,0,7.760669,19.6174
106444.8,10,9,0,10.12386,19.04965
22547.7,7,12,1,8.344264,19.8857
71820,12,12,0,13.93584,27.08129
139376.2,12,12,0,10.91858,23.44053
158760,16,14,0,13.79749,26.95504
101682,16,16,0,15.60755,31.15152
116424,16,17,0,13.01111,30.0807
81345.6,16,15,1,17.61085,32.19014
93725.1,14,12,0,11.38014,25.53729
48762,16,16,1,15.79481,30.30328
161406,16,17,0,14.56439,31.65141
146664,17,17,0,15.61513,32.11657
9450,11,12,1,10.40649,23.67999
101761.4,14,16,0,11.52153,27.26213
69174,13,13,0,15.00673,29.4906
65016,9,12,0,6.669356,17.47907
53710.02,12,11,0,12.20508,24.85481
122094,17,16,0,17.43075,33.7813
80892,14,14,0,16.15597,30.49569
55566,17,16,1,20.14611,36.0598
96450.48,12,12,0,12.98352,25.17902
50274,12,9,0,8.327158,17.33616
117180,17,17,0,18.08397,33.23735
184464,16,14,0,14.63681,28.31838
58661.82,10,12,0,11.7772,23.40145
73710,12,12,0,11.87141,24.10291
54980.1,9,11,0,11.86983,24.18451
86550.66,15,12,0,14.95231,26.79831
54054,9,12,0,9.802584,20.90194
56261.52,11,10,0,12.03903,21.71482
103572,16,12,0,16.38596,27.65041
61992,5,5,0,4.563173,9.366865
97161.12,17,17,0,16.8997,33.30037
48384,8,11,0,6.878106,16.33302
151200,11,12,0,12.81183,24.29231
177660,12,12,0,10.38428,21.4408
97796.16,13,14,0,13.53007,30.58841
101561,12,11,0,13.62133,24.36937
68040,8,12,0,5.959347,17.84825
114156,17,14,0,15.93859,28.56113
99111.6,12,12,0,10.20934,21.27693
153090,17,10,1,14.52966,23.66512
126894.6,17,16,0,18.67026,33.769
63946.26,12,13,0,10.9735,22.30597
68040,17,12,0,18.11682,28.13797
31513.86,16,12,0,18.26518,30.54882
64638,8,12,0,8.930762,19.60808
67284,12,11,0,12.98951,23.54264
51937.2,12,12,0,9.646645,19.47752
102060,12,9,0,10.94325,19.80191
123228,14,13,0,13.78149,25.77323
105953.4,14,12,0,15.34944,29.01946
87318,9,12,0,9.343683,22.99315
92912.4,12,12,0,9.308513,23.70957
109620,12,13,0,11.81588,24.36771
160385.4,14,16,0,14.64941,30.00123
158004,8,12,0,5.210818,17.11855
147798,16,16,1,18.97363,33.61837
120204,16,17,0,15.27283,32.98764
83916,12,12,0,9.807675,22.57908
73710,12,12,0,8.920791,20.73276
53022.06,11,9,0,9.420356,18.3222
80117.1,9,12,0,8.609334,21.86612
71869.14,8,12,0,5.519072,18.68084
79002,12,13,0,9.912294,24.61647
101379.6,7,12,0,5.227899,18.52207
48384,10,12,0,11.90315,22.12761
29673,12,12,0,10.92898,23.62261
70308,12,12,0,13.423,25.83521
20336.4,7,10,0,7.234806,17.86117
23110.92,8,12,0,10.14415,22.28741
31124.52,12,16,0,12.7757,27.78006
78041.88,16,12,1,15.85708,29.01599
62899.2,8,11,0,10.85624,23.12553
52542,12,12,0,11.57255,23.06002
43470,8,10,1,8.497099,17.47661
128520,10,12,0,11.39129,22.37075
108486,11,12,0,11.44098,23.18274
36148.14,12,12,0,12.02723,24.99522
79228.8,17,12,0,16.08986,27.92572
145870.2,14,16,0,12.4124,28.85923
105462,16,17,0,16.99916,32.26992
96892.74,17,12,0,16.49044,30.17716
133056,17,17,1,19.17862,35.83255
111510,12,12,0,10.52449,23.70178
37800,9,12,0,6.222029,19.56867
74844,12,12,0,14.154,26.74013
48762,7,8,0,7.024734,13.41742
98582.4,14,12,1,14.11555,26.19556
49389.48,12,13,0,15.44593,26.78621
47250,12,12,0,12.14185,24.93532
134568,16,12,0,13.63389,26.07605
73422.72,8,8,0,11.33969,20.23975
99225,10,12,0,13.15443,26.76879
138064.5,17,17,0,18.9589,35.92147
131166,16,17,0,12.87783,30.66313
31415.58,11,12,0,10.09817,22.33266
108206.3,12,13,0,10.32669,22.9393
92232,17,12,0,17.915,28.20445
53014.5,17,12,0,18.74187,31.42019
80767.26,12,12,0,13.86294,23.40312
53434.08,9,12,0,8.241766,21.08477
75222,10,9,0,9.609419,19.34653
139860,12,10,0,14.62652,25.63434
69930,12,12,0,10.79245,22.59157
130599,17,16,1,20.57479,36.46201
187563.6,15,13,0,9.743645,22.73192
39312,8,8,1,8.405045,17.08756
124740,16,16,0,16.05427,31.26373
61236,12,13,0,13.26991,26.74143
85654.8,12,12,0,12.03811,24.05955
60480,17,11,0,15.78098,26.1517
97448.4,17,13,1,16.42456,29.66478
78151.5,12,12,1,14.56327,26.06284
152005.1,16,12,0,15.17031,26.41067
58590,10,10,0,6.869126,15.75719
133082.5,16,12,0,16.41195,29.28224
134953.6,8,17,0,7.986465,24.90062
67284,14,15,0,12.20537,28.18473
192402,16,16,0,14.83331,29.97074
65318.4,12,10,0,15.47397,25.50966
57267,12,11,0,9.999265,21.5454
136836,17,12,0,17.46232,29.26332
66017.7,12,12,0,11.91197,24.42132
170874.9,12,14,0,12.6763,26.59371
54810,17,16,1,14.7235,32.03195
121001.6,14,14,0,11.44075,24.34941
133056,11,8,0,12.1448,19.5369
51328.62,11,7,0,13.73117,18.99445
39519.9,12,12,1,14.47011,25.50928
123228,13,12,0,13.70059,25.88202
72387,12,14,0,13.32558,24.72462
92232,13,12,0,9.987672,21.26677
82026,12,12,0,13.68287,26.17397
99039.78,12,12,0,14.27562,25.75181
45057.6,9,14,0,14.39218,28.36867
61614,17,16,0,15.01319,30.22636
62370,12,12,0,12.91848,24.41682
113400,16,12,1,14.19031,27.24867
236250,15,12,0,12.34279,24.29365
221130,6,13,0,6.635187,19.67505
154602,14,13,0,17.97054,30.22747
61644.24,7,10,0,7.775665,17.19352
35154,10,12,0,10.94929,21.93832
134946,17,12,0,15.7276,26.54506
134946,17,12,0,18.3569,30.54369
92610,14,12,0,15.18161,28.03293
49140,14,14,0,14.72938,30.21128
198828,15,17,0,13.83732,29.81652
95860.8,10,10,0,9.394151,19.68796
35532,4,9,0,6.294446,14.42635
101304,15,12,0,13.04784,25.81921
124891.2,14,12,0,12.51622,24.96987
99603,15,16,0,12.31238,27.49337
147420,12,12,0,11.82275,24.01647
132678,17,17,0,16.94237,34.60983
85057.56,16,12,0,15.51054,26.53409
82971,17,17,0,18.15363,34.08236
49140,6,11,0,8.506458,20.74553
68720.4,14,16,0,15.13234,30.73629
79217.46,14,11,0,14.01646,24.62191
51786,12,13,0,12.27861,25.2293
75600,8,11,0,9.094949,19.06384
46342.8,9,8,0,9.444209,17.74827
93933,11,11,0,12.63116,22.70996
110187,12,12,0,12.05116,22.70079
89173.98,12,10,0,14.93056,25.06012
93430.26,17,17,0,16.13671,32.53249
115119.9,12,12,0,13.13279,23.62985
74088,8,12,0,8.448211,20.6395
120487.5,17,17,0,20.07138,36.31576
90927.9,16,14,0,18.58221,33.82093
71045.1,12,12,0,15.28887,28.18462
46108.44,10,12,0,9.774172,19.89377
198998.1,16,12,0,16.32608,27.24117
62748,12,12,0,12.84008,24.92046
123190.2,12,12,0,12.2384,21.26806
37875.6,12,12,0,9.001138,21.78385
45541.44,10,9,0,7.94838,17.51618
150255,12,10,0,10.80289,21.29041
59346,12,12,0,9.827162,21.0763
91665,12,12,0,13.07237,25.20252
163333.8,16,12,0,17.61794,28.13383
140238,13,12,0,10.67368,21.12636
90039.6,12,12,0,12.38675,23.89308
119448,15,17,0,15.87912,32.32463
90720,14,12,0,12.73181,24.99981
116235,16,17,0,14.14568,31.68357
41769,10,12,0,14.71033,27.67485
46263.42,4,10,0,5.572013,15.64533
48648.6,14,12,1,14.77801,25.85963
65016,12,12,0,11.99838,22.99314
90644.4,8,12,0,7.092288,20.5633
70308,12,12,0,13.89303,25.08392
90417.6,8,12,0,4.064564,17.30864
60797.52,12,12,0,14.30834,27.50916
117558,17,16,0,16.25977,32.1416
77338.8,12,13,0,13.65128,27.89148
136080,16,13,0,13.39604,27.10683
65401.56,12,12,0,12.15923,23.77868
62181,16,16,0,16.27424,32.64304
155622.6,16,17,0,18.7693,36.08926
76091.4,12,12,0,12.39595,23.75958
34776,13,14,0,12.97574,26.67691
93558.78,10,12,0,8.089032,20.64086
216594,17,17,0,20.15753,37.67504
140616,12,12,0,13.48913,26.98374
52920,16,14,2,13.9332,27.60999
77905.8,12,12,0,11.29343,22.57218
55944,13,12,0,11.26096,21.93316
151218.9,16,17,0,16.11464,33.60139
89775,16,16,1,17.25028,33.32542
133434,17,16,0,20.61459,36.88271
65583,16,12,0,12.88135,24.81922
81837,10,9,0,10.61988,21.09345
25477.2,8,12,0,5.13867,15.60062
121999.5,12,12,0,14.78565,29.16598
125571.6,12,16,0,12.22149,28.68945
100170,17,14,0,18.91555,34.53406
146286,14,12,0,14.82439,26.83612
58212,8,12,0,6.725599,19.72814
71846.46,11,11,0,11.05924,22.04396
63394.38,8,12,0,11.22102,22.89424
117558,16,16,0,19.20451,33.2964
250614,16,17,0,15.24616,33.08515
164619,17,17,0,18.22578,35.68285
140805,14,14,0,12.85007,26.79326
94122,12,12,0,13.06844,24.4433
91476,17,14,0,20.8151,33.79813
61236,12,12,1,12.59704,23.58486
43209.18,10,10,0,11.67709,20.34645
49896,14,12,0,12.77083,25.25501
58287.6,8,13,0,7.52625,20.12261
69552,12,16,0,11.39781,26.96047
164430,16,12,1,16.96743,27.62652
83054.16,12,7,0,8.655379,15.97384
29385.72,10,16,0,12.41167,28.30402
92496.6,14,14,0,15.00848,26.95607
51408,12,12,0,11.73915,23.23903
85050,7,10,0,8.930892,20.3639
51408,12,12,0,14.27993,26.18753
343224,17,16,0,15.81808,30.44578
40733.28,9,10,0,11.57391,19.52537
71846.46,10,12,1,10.76336,23.28693
90342,14,14,0,10.09203,24.30849
98506.8,12,12,0,14.19889,26.29093
50274,6,6,0,5.045818,10.54477
59043.6,12,15,0,9.621905,23.81515
62370,13,12,0,15.72474,27.14418
78926.4,17,17,1,18.17964,34.87328
115668,12,14,0,12.33394,26.2084
147420,14,13,0,12.97435,25.19225
58317.84,8,6,0,7.200852,14.05705
88074,16,16,0,16.09457,32.06317
159138,16,14,0,15.76154,31.76398
137705.4,9,15,2,7.56378,23.19082
98280,14,14,0,12.7722,27.80294
234586.8,5,8,0,8.270855,16.40645
106974,16,14,0,16.76462,30.07848
91283.22,12,12,0,12.60445,24.01562
106373,12,12,0,13.44604,26.35153
87155.46,14,12,0,11.15694,23.16151
109242,9,12,0,11.66198,23.22136
90720,12,12,1,14.52228,25.35296
52542,12,12,0,12.79643,25.73319
120241.8,8,8,0,10.39709,16.35778
74995.2,10,12,0,6.527439,17.51953
96352.2,17,17,1,18.82959,35.59111
78624,12,12,0,10.5831,21.80118
9072,12,12,0,10.78055,22.44036
123417,17,14,0,15.20683,28.66018
61878.6,12,13,1,12.02018,25.40794
134190,12,17,0,9.87752,26.50435
57078,12,8,0,10.61887,20.12121
53298,11,12,0,10.99468,23.0621
74088,8,11,1,10.0947,19.79925
73460.52,16,12,0,15.97086,28.70876
90273.96,10,12,1,15.23074,28.43239
65394,17,17,2,19.52593,35.85266
74738.16,12,10,0,6.959492,15.64557
134723,8,12,0,7.99152,19.74136
129351.6,11,13,0,10.20039,23.27909
113400,12,12,0,12.11363,24.55408
68040,11,12,0,8.766582,22.55285
## code to prepare `eduinc` dataset goes here
#install.packages("tidyverse")
library(tidyverse)
eduinc <-readr::read_csv(here::here("data-raw", "edu_inc.csv"), col_names = T)
##Dies sollte die letzte Zeile des Scripts sein
usethis::use_data(eduinc, overwrite = TRUE)
"","food_exp","income"
"1",115.22,3.69
"2",135.98,4.39
"3",119.34,4.75
"4",114.96,6.03
"5",187.05,12.47
"6",243.92,12.98
"7",267.43,14.2
"8",238.71,14.76
"9",295.94,15.32
"10",317.78,16.39
"11",216,17.35
"12",240.35,17.77
"13",386.57,17.93
"14",261.53,18.43
"15",249.34,18.55
"16",309.87,18.8
"17",345.89,18.81
"18",165.54,19.04
"19",196.98,19.22
"20",395.26,19.93
"21",406.34,20.13
"22",171.92,20.33
"23",303.23,20.37
"24",377.04,20.43
"25",194.35,21.45
"26",213.48,22.52
"27",293.87,22.55
"28",259.61,22.86
"29",323.71,24.2
"30",275.02,24.39
"31",109.71,24.42
"32",359.19,25.2
"33",201.51,25.5
"34",460.36,26.61
"35",447.76,26.7
"36",482.55,27.14
"37",438.29,27.16
"38",587.66,28.62
"39",257.95,29.4
"40",375.73,33.4
## code to prepare `eduinc` dataset goes here
#install.packages("tidyverse")
library(tidyverse)
food <-readr::read_csv(here::here("data-raw", "food.csv"), col_names = T)
food <- rename(food, X = 1)
##Dies sollte die letzte Zeile des Scripts sein
usethis::use_data(food, overwrite = TRUE)
quarter,GDPE,GDPU
1995q1,86.70001007571138,80.3999858347336
1995q2,87.29995959359231,80.60002824929077
1995q3,87.50001808068957,81.19997992999073
1995q4,87.80004384372495,81.7999800728107
1996q1,87.90001716765127,82.39996399817673
1996q2,88.50003964678017,83.79999937250248
1996q3,88.9999670938456,84.50003934632485
1996q4,89.29995643210755,85.39999139214804
1997q1,89.59997132971731,86.09996457556701
1997q2,90.69996760912287,87.39997529538925
1997q3,91.30001939203781,88.50003964678017
1997q4,92.19998796213382,89.1999964689321
1998q1,92.90003290334708,90.00002967028104
1998q2,93.29998993728785,90.7999740668656
1998q3,93.80001350605862,92.00003891149653
1998q4,94.00002046662183,93.59996410594698
1999q1,94.90002793705692,94.39999309450289
1999q2,95.40004021547392,95.20000554089532
1999q3,96.60002499829885,96.39998056417139
1999q4,97.70004308094792,98.09996403936037
2000q1,98.89997639962775,98.40001928067424
2000q2,99.79998170492334,100.3000305947253
2000q3,100.3000305947253,100.3999791913363
2000q4,101.0000487990446,101.0000487990446
2001q1,101.7999894009487,100.5999740788401
2001q2,101.7999894009487,101.2999583399138
2001q3,101.9000060906978,101.0000487990446
2001q4,102.0000190450061,101.3999907566723
2002q1,102.300033456445,102.2000329319518
2002q2,102.799963709441,102.799963709441
2002q3,103.0999596855454,103.2999611462335
2002q4,103.200015165503,103.2999611462335
2003q1,103.2999611462335,103.6999880500813
2003q2,103.2999611462335,104.6000468994265
2003q3,103.8000030380404,106.2999696675223
2003q4,104.4000338831781,107.3000375939937
2004q1,104.9999632334665,107.9999754705871
2004q2,105.5999607936671,108.7999636149097
2004q3,105.8999732488839,109.5999589532826
2004q4,106.2999696675223,110.5000529341749
2005q1,106.6000520494088,111.7000328314101
2005q2,107.3000375939937,112.0999629982495
2005q3,107.9999754705871,113.0000204855074
2005q4,108.5999557455269,113.6000560858048
2006q1,109.4000120353265,115.0999636597317
2006q2,110.7000177435962,115.5000542894193
2006q3,111.3999635172653,115.5000542894193
2006q4,112.3000155261053,116.2999930772871
2007q1,113.1999812349414,116.7000537645764
2007q2,113.6999544339962,117.5999958293717
2007q3,114.3999909686126,118.699964198231
2007q4,114.799944449962,119.2999607379147
2008q1,115.7000423231104,119.0999432653882
2008q2,115.2999507352015,119.4999556211062
2008q3,114.8999787601957,118.699964198231
2008q4,112.6000320115552,117.0999683123144
2009q1,109.80005170753,115.0999636597317
2009q2,109.6999597092615,114.8999787601957
2009q3,110.0999951854775,115.6000050588553
2009q4,110.3000081335823,117.2000143988515
## code to prepare `gfc` dataset goes here
#install.packages("tidyverse")
library(tidyverse)
gfc <-readr::read_csv(here::here("data-raw", "gfc_kurs.csv"), col_names = T)
##Dies sollte die letzte Zeile des Scripts sein
usethis::use_data(gfc, overwrite = TRUE)
obs,inf,u
1987Q1,2,8.1
1987Q2,1.5,8
1987Q3,1.7,7.8
1987Q4,1.8,7.7
1988Q1,1.8,7.3
1988Q2,1.7,7.3
1988Q3,1.9,6.7
1988Q4,2,6.5
1989Q1,1,6.3
1989Q2,2.5,6
1989Q3,2.3,5.8
1989Q4,1.8,5.6
1990Q1,1.7,6
1990Q2,1.6,6.2
1990Q3,0.8,7
1990Q4,2.6,7.6
1991Q1,-0.2,8.4
1991Q2,0.2,9.2
1991Q3,0.6,9.6
1991Q4,0.9,9.9
1992Q1,0,10.1
1992Q2,-0.3,10.5
1992Q3,0.1,10.6
1992Q4,0.5,10.8
1993Q1,0.9,10.7
1993Q2,0.4,10.6
1993Q3,0.5,10.6
1993Q4,0.2,10.5
1994Q1,0.4,10.1
1994Q2,0.7,9.7
1994Q3,0.6,9.2
1994Q4,0.8,8.8
1995Q1,1.7,8.5
1995Q2,1.3,8.2
1995Q3,1.2,8
1995Q4,0.8,8.2
1996Q1,0.4,8.2
1996Q2,0.7,8.1
1996Q3,0.3,8.3
1996Q4,0.2,8.3
1997Q1,0.2,8.4
1997Q2,-0.2,8.3
1997Q3,-0.4,8.2
1997Q4,0.3,8
1998Q1,0.3,7.9
1998Q2,0.6,7.7
1998Q3,0.2,7.8
1998Q4,0.5,7.4
1999Q1,-0.1,7.2
1999Q2,0.4,6.9
1999Q3,0.9,6.9
1999Q4,0.6,6.7
2000Q1,0.9,6.5
2000Q2,0.8,6.4
2000Q3,1,6.1
2000Q4,0.3,6.2
2001Q1,1.1,6.4
2001Q2,0.8,6.8
2001Q3,0.3,6.9
2001Q4,0.9,6.9
2002Q1,0.9,6.7
2002Q2,0.7,6.4
2002Q3,0.7,6.3
2002Q4,0.7,6.2
2003Q1,1.3,6.1
2003Q2,0,6.1
2003Q3,0.6,5.9
2003Q4,0.5,5.7
2004Q1,0.9,5.5
2004Q2,0.5,5.4
2004Q3,0.4,5.5
2004Q4,0.8,5.1
2005Q1,0.7,5.1
2005Q2,0.6,5.1
2005Q3,0.9,5
2005Q4,0.5,5.1
2006Q1,0.9,5
2006Q2,1.6,4.8
2006Q3,0.9,4.7
2006Q4,-0.1,4.6
2007Q1,0.1,4.5
2007Q2,1.2,4.3
2007Q3,0.7,4.3
2007Q4,0.9,4.4
2008Q1,1.3,4
2008Q2,1.5,4.2
2008Q3,1.2,4.2
2008Q4,-0.3,4.5
2009Q1,0.1,5.3
2009Q2,0.5,5.7
2009Q3,1,5.8
## code to prepare `eduinc` dataset goes here
#install.packages("tidyverse")
library(tidyverse)
phillips <-readr::read_csv(here::here("data-raw", "phillips_aus.csv"), col_names = T)
##Dies sollte die letzte Zeile des Scripts sein
usethis::use_data(phillips, overwrite = TRUE)
obs,m,p
1961Q1,0.066369,0.0123551
1961Q2,0.0774253,0.0110558
1961Q3,0.0732792,0.0103529
1961Q4,0.0777178,0.0107249
1962Q1,0.0825334,0.014486
1962Q2,0.0806297,0.013837
1962Q3,0.079121,0.0132255
1962Q4,0.0844866,0.0130154
1963Q1,0.0852398,0.0093194
1963Q2,0.08734,0.0098524
1963Q3,0.0914047,0.0093329
1963Q4,0.0887256,0.0137187
1964Q1,0.0846144,0.0144384
1964Q2,0.0826999,0.0148617
1964Q3,0.0860642,0.0170017
1964Q4,0.0862159,0.014391
1965Q1,0.0887053,0.0164916
1965Q2,0.0858026,0.0182318
1965Q3,0.0845762,0.0179503
1965Q4,0.085982,0.0194499
1966Q1,0.0820864,0.020956
1966Q2,0.0780106,0.0249856
1966Q3,0.0646982,0.0318029
1966Q4,0.0464826,0.0345088
1967Q1,0.0571357,0.0324557
1967Q2,0.0706726,0.0297316
1967Q3,0.08598,0.0288223
1967Q4,0.0978808,0.030766
1968Q1,0.0864006,0.0371731
1968Q2,0.078422,0.0420483
1968Q3,0.0774763,0.0422352
1968Q4,0.0839163,0.0451934
1969Q1,0.0742848,0.0447031
1969Q2,0.0616668,0.0472241
1969Q3,0.0297134,0.0516549
1969Q4,0.0133531,0.050482
1970Q1,0.0109416,0.0543252
1970Q2,0.027399,0.0550021
1970Q3,0.0709427,0.0486652
1970Q4,0.0926302,0.0486879
1971Q1,0.1372802,0.0493008
1971Q2,0.1517859,0.0488129
1971Q3,0.1389556,0.0508407
1971Q4,0.1354832,0.0459496
1972Q1,0.1251965,0.048299
1972Q2,0.1218876,0.0394459
1972Q3,0.1307943,0.0391933
1972Q4,0.1320172,0.0444071
1973Q1,0.1333596,0.0391245
1973Q2,0.1317917,0.0502331
1973Q3,0.1212606,0.0598035
1973Q4,0.105902,0.0662227
1974Q1,0.0991095,0.0732204
1974Q2,0.0977642,0.0810744
1974Q3,0.0868905,0.0907616
1974Q4,0.0833166,0.1006534
1975Q1,0.075034,0.1044007
1975Q2,0.0747943,0.0962885
1975Q3,0.0837046,0.0856773
1975Q4,0.0914143,0.0736598
1976Q1,0.0990857,0.0620012
1976Q2,0.0990169,0.057505
1976Q3,0.1015262,0.0526727
1976Q4,0.1129512,0.0533069
1977Q1,0.1124727,0.0585336
1977Q2,0.1145915,0.0622691
1977Q3,0.1190102,0.0608269
1977Q4,0.1166998,0.0642652
1978Q1,0.1153683,0.0628425
1978Q2,0.1126312,0.0665887
1978Q3,0.1126226,0.0709461
1978Q4,0.1128786,0.0703313
1979Q1,0.1071804,0.0730008
1979Q2,0.1046458,0.0792533
1979Q3,0.1105069,0.0841163
1979Q4,0.0938459,0.082972
1980Q1,0.0952831,0.0863753
1980Q2,0.0861463,0.0838639
1980Q3,0.0817319,0.0849688
1980Q4,0.0973514,0.0925068
1981Q1,0.106096,0.0970735
1981Q2,0.116204,0.0938621
1981Q3,0.1197387,0.0890273
1981Q4,0.1213751,0.0797905
1982Q1,0.1119168,0.0678656
1982Q2,0.1080557,0.0612532
1982Q3,0.1022158,0.0577167
1982Q4,0.0889315,0.0503332
1983Q1,0.0955553,0.0450098
1983Q2,0.0920208,0.0401474
1983Q3,0.0831416,0.036268
1983Q4,0.0925413,0.033084
1984Q1,0.0896765,0.0373123
1984Q2,0.0981323,0.0387296
1984Q3,0.1011781,0.0365095
1984Q4,0.1037495,0.0353039
1985Q1,0.0980469,0.0340876
1985Q2,0.0855579,0.0311861
1985Q3,0.0802862,0.0273533
1985Q4,0.0697337,0.0274779
1986Q1,0.0699798,0.0214033
1986Q2,0.0772,0.0208609
1986Q3,0.0862753,0.0224838
1986Q4,0.0866776,0.022565
1987Q1,0.0780288,0.0256536
1987Q2,0.0689929,0.0259504
1987Q3,0.0587273,0.0276081
1987Q4,0.0514256,0.0283238
1988Q1,0.0606645,0.0285564
1988Q2,0.0646953,0.0326302
1988Q3,0.0619199,0.036304
1988Q4,0.0634785,0.0365514
1989Q1,0.0524603,0.0393526
1989Q2,0.0408742,0.039374
1989Q3,0.0398433,0.035349
1989Q4,0.0369628,0.0347564
1990Q1,0.0348702,0.0353946
1990Q2,0.0305748,0.0374224
1990Q3,0.0287174,0.039165
1990Q4,0.0185576,0.0397557
1991Q1,0.0257692,0.0396522
1991Q2,0.0225826,0.0344921
1991Q3,0.0085716,0.0327529
1991Q4,0.0135181,0.0305148
1992Q1,0.0075017,0.0247362
1992Q2,0.0014733,0.0237904
1992Q3,0.0100621,0.0212275
1992Q4,0.0034987,0.0211613
1993Q1,-0.0072642,0.022905
1993Q2,0.0063907,0.0229416
1993Q3,0.0033788,0.0227211
1993Q4,0.0156639,0.0228184
1994Q1,0.0155287,0.0211002
1994Q2,0.0132424,0.0198059
1994Q3,0.0183706,0.0218783
1994Q4,0.0194404,0.0212753
1995Q1,0.0324141,0.0215572
1995Q2,0.0489132,0.0209475
1995Q3,0.0601504,0.0192548
1995Q4,0.0596565,0.0193848
1996Q1,0.0717672,0.0194503
1996Q2,0.0637525,0.0194058
1996Q3,0.060069,0.0178475
1996Q4,0.0722787,0.0183356
1997Q1,0.0719325,0.0183188
1997Q2,0.0721596,0.0163867
1997Q3,0.0864294,0.0167173
1997Q4,0.0917459,0.0146765
1998Q1,0.1002991,0.0108424
1998Q2,0.1002807,0.0108925
1998Q3,0.0972569,0.0110882
1998Q4,0.1035207,0.0112836
1999Q1,0.0904049,0.012814
1999Q2,0.0851875,0.0146927
1999Q3,0.071054,0.0145378
1999Q4,0.080327,0.01535
2000Q1,0.0899787,0.0202311
2000Q2,0.0899507,0.0209856
2000Q3,0.1020681,0.0226475
2000Q4,0.0838053,0.0224401
2001Q1,0.0953223,0.0215154
2001Q2,0.1146383,0.0248146
2001Q3,0.114624,0.0238021
2001Q4,0.1221444,0.0247735
2002Q1,0.0956589,0.0203962
2002Q2,0.0699804,0.0163544
2002Q3,0.0600628,0.0159713
2002Q4,0.0630701,0.0164831
2003Q1,0.0616963,0.0206035
2003Q2,0.0715853,0.0202389
2003Q3,0.0683594,0.0216471
2003Q4,0.03352,0.0215289
2004Q1,0.046496,0.0229831
2004Q2,0.0541361,0.0288092
2004Q3,0.0507758,0.0288273
2004Q4,0.0602464,0.0313355
2005Q1,0.050993,0.0305593
2005Q2,0.0476433,0.0276193
2005Q3,0.062794,0.0304535
2005Q4,0.0731086,0.0305588
## code to prepare `eduinc` dataset goes here
#install.packages("tidyverse")
library(tidyverse)
qtm <-readr::read_csv(here::here("data-raw", "qtm.csv"), col_names = T)
##Dies sollte die letzte Zeile des Scripts sein
usethis::use_data(qtm, overwrite = TRUE)
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