## Warning: package 'quantmod' was built under R version 3.1.3
## Warning: package 'zoo' was built under R version 3.1.3
## Warning: package 'pdfetch' was built under R version 3.1.2
## As of 0.4-0, 'getSymbols' uses env=parent.frame() and
## auto.assign=TRUE by default.
##
## This behavior will be phased out in 0.5-0 when the call will
## default to use auto.assign=FALSE. getOption("getSymbols.env") and
## getOptions("getSymbols.auto.assign") are now checked for alternate defaults
##
## This message is shown once per session and may be disabled by setting
## options("getSymbols.warning4.0"=FALSE). See ?getSymbols for more details.
## [1] "DAUTOSA"
## DAUTOSA DAUTOSA.1
## 2014-02-01 423.8 -0.0768895665
## 2014-03-01 448.7 -0.0081786030
## 2014-04-01 432.9 -0.0152411283
## 2014-05-01 468.2 0.0542670570
## 2014-06-01 484.5 0.0530319496
## 2014-07-01 472.8 0.0307390451
## 2014-08-01 510.0 0.1106271777
## 2014-09-01 461.9 0.0386777603
## 2014-10-01 482.9 0.0854124522
## 2014-11-01 498.3 0.0702319588
## 2014-12-01 484.7 0.1003405221
## 2015-01-01 452.7 0.0760637034
## 2015-02-01 429.0 0.0122699387
## 2015-03-01 448.4 -0.0006685982
## 2015-04-01 435.1 0.0050820051
## [1] "Domestic Auto Sales Average (K): 463.283"
## [1] "Domestic Auto Sales (YoY) Average: -0.28 %"
## [1] "PCEPI"
## PCEPI PCEPI.1
## 2014-01-01 108.046 0.012254305
## 2014-02-01 108.129 0.009598416
## 2014-03-01 108.292 0.011961275
## 2014-04-01 108.523 0.015267890
## 2014-05-01 108.790 0.016538965
## 2014-06-01 109.034 0.016056136
## 2014-07-01 109.125 0.015739896
## 2014-08-01 109.072 0.014500572
## 2014-09-01 109.150 0.014292086
## 2014-10-01 109.201 0.014209954
## 2014-11-01 109.028 0.011776279
## 2014-12-01 108.773 0.007735922
## 2015-01-01 108.272 0.002091702
## 2015-02-01 108.460 0.003061158
## 2015-03-01 108.646 0.003268940
## Warning in mean.default(data$DAUTOSA): argument is not numeric or logical:
## returning NA
## Warning in mean.default(data$DAUTOSA.1): argument is not numeric or
## logical: returning NA
## [1] "Personal Consumption Expenditure Average (K): NA"
## [1] "Personal Consumption Expenditure (YoY) Average: NA %"
## [1] "ALTSALES"
## ALTSALES ALTSALES.1
## 2014-02-01 15.333 -0.003962583
## 2014-03-01 16.424 0.070106854
## 2014-04-01 15.969 0.049418414
## 2014-05-01 16.669 0.080858514
## 2014-06-01 16.847 0.067684898
## 2014-07-01 16.402 0.045245985
## 2014-08-01 17.439 0.098658099
## 2014-09-01 16.334 0.064520334
## 2014-10-01 16.345 0.069768964
## 2014-11-01 17.094 0.055902156
## 2014-12-01 16.800 0.088082902
## 2015-01-01 16.571 0.090484338
## 2015-02-01 16.163 0.054131612
## 2015-03-01 17.054 0.038358500
## 2015-04-01 16.461 0.030809694
## [1] "Autos & Light Trucks (M) Average: 15.3514"
## [1] "Autos & Light Trucks (YoY) Average: 1.38 %"
## [1] "TOTALNSA"
## TOTALNSA TOTALNSA.1
## 2014-02-01 1214.6 -8.232485e-05
## 2014-03-01 1563.2 5.943748e-02
## 2014-04-01 1416.5 7.964939e-02
## 2014-05-01 1634.6 1.128055e-01
## 2014-06-01 1448.8 1.364304e-02
## 2014-07-01 1464.6 9.355634e-02
## 2014-08-01 1613.4 5.699686e-02
## 2014-09-01 1275.5 9.748752e-02
## 2014-10-01 1312.1 6.294556e-02
## 2014-11-01 1324.4 4.621218e-02
## 2014-12-01 1540.3 1.086878e-01
## 2015-01-01 1177.7 1.389749e-01
## 2015-02-01 1283.2 5.647950e-02
## 2015-03-01 1576.4 8.444217e-03
## 2015-04-01 1485.0 4.835863e-02
## [1] "Total Vehicle Sales (Thousand) Average: 1309.55"
## [1] "Total Vehicle Sales (YoY) Average: 1.41 %"
## [1] "TTLCONS"
## TTLCONS TTLCONS.1
## 2014-01-01 954642 -0.0067793224
## 2014-02-01 947088 -0.0079129140
## 2014-03-01 947303 0.0002270116
## 2014-04-01 960349 0.0137717288
## 2014-05-01 972844 0.0130108950
## 2014-06-01 957120 -0.0161629203
## 2014-07-01 960043 0.0030539535
## 2014-08-01 961066 0.0010655773
## 2014-09-01 966432 0.0055833835
## 2014-10-01 980422 0.0144759279
## 2014-11-01 974301 -0.0062432300
## 2014-12-01 984502 0.0104700703
## 2015-01-01 972776 -0.0119105903
## 2015-02-01 972868 0.0000945747
## 2015-03-01 966561 -0.0064828939
## [1] "Total Construction Spending (Mil $) Average: 881565"
## [1] "Total Construction Spending (MoM) Average: 0.25 %"
## [1] "MICH"
## MICH
## 2014-01-01 3.1
## 2014-02-01 3.2
## 2014-03-01 3.2
## 2014-04-01 3.2
## 2014-05-01 3.3
## 2014-06-01 3.1
## 2014-07-01 3.3
## 2014-08-01 3.2
## 2014-09-01 3.0
## 2014-10-01 2.9
## 2014-11-01 2.8
## 2014-12-01 2.8
## 2015-01-01 2.5
## 2015-02-01 2.8
## 2015-03-01 3.0
## [1] "UoM Inflation Expectation Average: 2.97974"
## [1] "EXHOSLUSM495S"
## EXHOSLUSM495S EXHOSLUSM495S.1
## 2014-11-01 4950000 0.02484472
## 2014-12-01 5070000 0.04106776
## 2015-01-01 4820000 0.03211991
## 2015-02-01 4890000 0.04935622
## 2015-03-01 5190000 0.10425532
## [1] "Existing Home Sales Average: 5.27869e+06"
## [1] "Existing Home Sales (YoY) Average: 0.56 %"
## [1] "DGORDER"
## DGORDER DGORDER.1
## 2014-01-01 224010 0.0173994795
## 2014-02-01 229864 -0.0017718177
## 2014-03-01 238420 0.1150604720
## 2014-04-01 240481 0.0732213465
## 2014-05-01 238337 0.0285782103
## 2014-06-01 244841 0.0043522848
## 2014-07-01 299862 0.3367003967
## 2014-08-01 245001 0.0874820233
## 2014-09-01 243200 0.0393695403
## 2014-10-01 243821 0.0551595802
## 2014-11-01 238575 -0.0118581168
## 2014-12-01 229827 0.0000609191
## 2015-01-01 234272 0.0458104549
## 2015-02-01 230992 0.0049072495
## 2015-03-01 241228 0.0117775354
## [1] "Manufacturers' New Orders: Durable Goods Average: 195632"
## [1] "Manufacturers' New Orders: Durable Goods (YoY) Average: 3.13 %"
## [1] "NAPM"
## NAPM NAPM.1
## 2014-02-01 54.3 0.003696858
## 2014-03-01 54.4 0.046153846
## 2014-04-01 55.3 0.099403579
## 2014-05-01 55.6 0.109780439
## 2014-06-01 55.7 0.054924242
## 2014-07-01 56.4 0.036764706
## 2014-08-01 58.1 0.044964029
## 2014-09-01 56.1 0.008992806
## 2014-10-01 57.9 0.037634409
## 2014-11-01 57.6 0.028571429
## 2014-12-01 55.1 -0.017825312
## 2015-01-01 53.5 0.032818533
## 2015-02-01 52.9 -0.025782689
## 2015-03-01 51.5 -0.053308824
## 2015-04-01 51.5 -0.068716094
## [1] "ISM Manufacturing: PMI Composite Index Average: 52.1446"
## [1] "ISM Manufacturing: PMI Composite Index (YoY) Average: 1.60 %"
## [1] "NAPM"
## [1] "NAPMNOI"
## [1] "NAPMII"
## [1] "NAPMEI"
## Composite New Orders Inventory Employment
## 2014-02-01 54.3 56.1 52.5 52.8
## 2014-03-01 54.4 56.4 52.5 51.9
## 2014-04-01 55.3 56.2 53.0 54.7
## 2014-05-01 55.6 58.7 53.0 53.5
## 2014-06-01 55.7 59.1 53.0 53.9
## 2014-07-01 56.4 62.0 48.5 56.3
## 2014-08-01 58.1 63.9 52.0 57.4
## 2014-09-01 56.1 59.4 51.5 54.6
## 2014-10-01 57.9 63.0 52.5 55.2
## 2014-11-01 57.6 62.1 51.5 54.6
## 2014-12-01 55.1 57.8 45.5 56.0
## 2015-01-01 53.5 52.9 51.0 54.1
## 2015-02-01 52.9 52.5 52.5 51.4
## 2015-03-01 51.5 51.8 51.5 50.0
## 2015-04-01 51.5 53.5 49.5 48.3
## Warning: package 'ggplot2' was built under R version 3.1.3
## [1] "NAPMNOI"
## [1] "NAPMII"
## New Order - Inventory
## 2014-02-01 3.6
## 2014-03-01 3.9
## 2014-04-01 3.2
## 2014-05-01 5.7
## 2014-06-01 6.1
## 2014-07-01 13.5
## 2014-08-01 11.9
## 2014-09-01 7.9
## 2014-10-01 10.5
## 2014-11-01 10.6
## 2014-12-01 12.3
## 2015-01-01 1.9
## 2015-02-01 0.0
## 2015-03-01 0.3
## 2015-04-01 4.0
## [1] "USSLIND"
## USSLIND USSLIND.1
## 2014-11-01 1.43 0.08333333
## 2014-12-01 1.24 -0.10791367
## 2015-01-01 0.85 -0.50581395
## 2015-02-01 0.98 -0.41317365
## 2015-03-01 0.98 -0.46153846
## [1] "Leading Index for the United States Average: 0.976853"
## [1] "Leading Index for the United States (YoY) Average: Inf %"
## PX_LAST PX_LAST.1
## 2015-04-23 -57.2 20.6
## 2015-04-24 -57.7 20.5
## 2015-04-27 -56.0 17.4
## 2015-04-28 -58.5 16.2
## 2015-04-29 -66.8 17.2
## [1] "UNRATE"
## [1] "CES0500000003"
## UNRATE CES0500000003
## 2014-12-01 5.6 0.01819686
## 2015-01-01 5.7 0.02229562
## 2015-02-01 5.5 0.01975309
## 2015-03-01 5.5 0.02054232
## 2015-04-01 5.4 0.02177486
## [1] "Civilian Unemployment Rate Average: 7.45918"
## [1] "Average Hourly Earnings (YoY) Average: 2.36 %"
## [1] "ECIALLCIV"
## ECIALLCIV ECIALLCIV.1
## 2014-01-01 120.5 0.05701754
## 2014-04-01 121.4 0.05841325
## 2014-07-01 122.2 0.06168549
## 2014-10-01 122.8 0.06228374
## 2015-01-01 123.6 0.06368330
## [1] "DAAA"
## [1] "DBAA"
## DAAA DBAA
## 2015-05-01 3.82 0.91
## 2015-05-04 3.86 0.91
## 2015-05-05 3.90 0.91
## 2015-05-06 3.98 0.91
## 2015-05-07 3.92 0.90
## [1] "Aaa Corporate Bond yield Average: 4.81556"
## [1] "Baa - Aaa Yield Average: 1.16297"
## ship2inv dollar_idx
## 2014-10-31 1.32 86.917
## 2014-11-30 1.33 88.356
## 2014-12-31 1.34 90.269
## 2015-01-31 1.36 94.804
## 2015-02-28 1.35 95.293
## X Y
## 2015-04-23 57.74 192.39
## 2015-04-24 57.15 192.83
## 2015-04-27 56.99 192.14
## 2015-04-28 57.06 191.66
## 2015-04-29 58.58 194.81
## EU aggregate M3(YoY)
## 2014-01-31 1.2
## 2014-02-28 1.3
## 2014-03-31 1.0
## 2014-04-30 0.8
## 2014-05-31 1.1
## 2014-06-30 1.6
## 2014-07-31 1.8
## 2014-08-31 2.0
## 2014-09-30 2.5
## 2014-10-31 2.5
## 2014-11-30 3.1
## 2014-12-31 3.6
## 2015-01-31 3.7
## 2015-02-28 4.0
## 2015-03-31 4.6
## EU inflation rate (MoM)
## 2014-07-31 0.4
## 2014-08-31 0.4
## 2014-09-30 0.3
## 2014-10-31 0.4
## 2014-11-30 0.3
## 2014-12-31 -0.2
## 2015-01-31 -0.6
## 2015-02-28 -0.3
## 2015-03-31 -0.1
## 2015-04-30 0.0
## EU Unit Labor Cost (YoY)
## 2012-09-30 1.97
## 2012-12-31 1.51
## 2013-03-31 1.79
## 2013-06-30 1.12
## 2013-09-30 1.25
## 2013-12-31 1.12
## 2014-03-31 0.71
## 2014-06-30 0.99
## 2014-09-30 1.15
## 2014-12-31 1.34
Sys.setlocale("LC_TIME", locale)
## [1] "Korean_Korea.949"