可重现的代码:
# Loading quantmod
library(quantmod)
# Please, put in R this structure
a <- structure(c(2.4, 2.35, 2.44, 2.44, 2.31, 2.32, 2.41, 2.43, 2.46,
2.42, 2.45, 2.39, 2.3, 2.41, 2.33, 2.37, 2.38, 2.4, 2.275, 2.235,
-0.0300000000000002, -0.0499999999999998, 0.0899999999999999,
0, -0.13, 0.00999999999999979, 0.0900000000000003, 0.02, 0.0299999999999998,
-0.04, 0.0300000000000002, -0.0600000000000001, -0.0900000000000003,
0.11, -0.0800000000000001, 0.04, 0.00999999999999979, 0.02, -0.125,
-0.04, 2.75684036527164, 2.80336038090653, 2.85070650150373,
2.80638610182307, 2.78192004966867, 2.75238601492226, 2.72915916431245,
2.7324175575505, 2.77446196662146, 2.78562833574758, 2.90799335924598,
2.96217549002515, 2.93863268151342, 2.86048512414597, 2.89259151463448,
2.94864066602014, 2.88926002904347, 2.86619290219901, 2.83438912314523,
2.7868613815265, -0.0410505398303571, 0.0465200156348926, 0.0473461205971986,
-0.0443203996806614, -0.0244660521544064, -0.0295340347464039,
-0.0232268506098166, 0.00325839323805921, 0.0420444090709573,
0.0111663691261232, 0.1223650234984, 0.0541821307791639, -0.02354280851173,
-0.078147557367453, 0.0321063904885124, 0.0560491513856629, -0.0593806369766661,
-0.0230671268444684, -0.031803779053778, -0.0475277416187283,
0.172217775014356, 0.147897402545627, 0.107842980922542, 0.111384630261207,
0.116199395018325, 0.119482271409344, 0.130753386099011, 0.119444345583785,
0.101923549299963, 0.1002890717992, 0.032754605975247, 0.00669932935895989,
0.0105319562242379, 0.0453224418800389, 0.0294942187512146, -0.0142520227072014,
0.0285107030408045, 0.0335789802090738, 0.0520861644718136, 0.0759107647712609,
0.0100035842055157, -0.0243203724687295, -0.0400544216230849,
0.0035416493386653, 0.00481476475711817, 0.00328287639101843,
0.0112711146896673, -0.0113090405152261, -0.0175207962838217,
-0.00163447750076351, -0.0675344658239525, -0.0260552766162871,
0.00383262686527797, 0.034790485655801, -0.0158282231288243,
-0.043746241458416, 0.0427627257480059, 0.0050682771682693, 0.0185071842627398,
0.0238246002994473, -0.0191994306395253, -0.0205181532675806,
-0.0249013268238319, -0.0237728532488024, 0.023560859824188,
0.0493604748650355, -0.0226612828685699, -0.0242381517516994,
-0.0229683470958784, 0.0193184371423425, -0.0146720746595668,
-0.0103171513510591, -0.0153945062856312, -0.0207074718973363,
0.113843134319118, -0.017036109656239, 0.00401445822575002, -0.0152979313119177,
-0.00168455008690644, 0.0234396377388245), .indexTZ = "", .indexCLASS = c("POSIXct",
"POSIXt"), tclass = c("POSIXct", "POSIXt"), tzone = "", na.action = structure(1L, class = "omit", index = 1090364400), class = c("xts",
"zoo"), index = structure(c(1090450800, 1090537200, 1090796400,
1090882800, 1090969200, 1091055600, 1091142000, 1091401200, 1091487600,
1091574000, 1091660400, 1091746800, 1092006000, 1092092400, 1092178800,
1092265200, 1092351600, 1092610800, 1092697200, 1092783600), tzone = "", tclass = c("POSIXct",
"POSIXt")), .Dim = c(20L, 7L), .Dimnames = list(NULL, c("Inflation",
"dInflation", "Fear", "dFear", "Greed", "dGreed", "Growth")))
# These are 'a' dates
index(a)
# You can see it is a POISXct object whose last element is equal to
# "2004-08-18 01:00:00 CEST"
is(index(a))
# Coercing to Date object
as.Date(index(a))
# Last element goes back by 1 day to "2004-08-17"
从代码中您可以看到,当我尝试将 POSIXct 对象强制为 Date 对象时,每个日期都会返回 1 天。
我想在运行此代码时保留原始日期:我应该在我的代码中修改什么?
这些是我的会话信息:
R version 2.15.2 (2012-10-26)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] parallel stats graphics grDevices datasets utils methods base
other attached packages:
[1] quantmod_0.4-0 TTR_0.21-1 Defaults_1.1-1
[4] PerformanceAnalytics_1.1.0 Matrix_1.0-11 lattice_0.20-13
[7] MASS_7.3-23 Rsolnp_1.14 truncnorm_1.0-6
[10] numDeriv_2012.9-1 xts_0.9-3 zoo_1.7-9
[13] RcppArmadillo_0.3.6.3 Rcpp_0.10.2 rcom_2.2-5
[16] rscproxy_2.0-5
loaded via a namespace (and not attached):
[1] grid_2.15.2 rmgarch_1.00-4 rugarch_1.01-5 timeDate_2160.97
[5] timeSeries_2160.95 tools_2.15.2