请将以下数据结构放入R中：
ret.tot <- structure(c(NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.0176629385269872,
-0.00598540500471782, 0.000397233717450593, 0.0306832492016377,
0.017489053560066, 0.00269955471373475, -0.0320201783372234,
-0.0275430853903852, -0.000590271106063863, 0.0129459406811023,
0.0149953072553982, -0.0129087888171287, -0.00130280102489988,
-0.0377404713075129, 0.0236191282922097, -0.0119020468768697,
-0.115096461748588, 0.100199681314344, 0.0911308738334283, -0.110863725885523,
-0.0727448946117171, 0.0474370051015683, -0.0261582369412903,
0.0555183596655775, 0.00860003940385565, 0.0346875742874423,
0.0165600647484871, 0.0289458251073716, -0.0200260791601897,
0.0762373770534174, -0.0221922758574445, -0.0462536669889334,
0.0145014986918377, 0.00785273903343038, 0.0278941165111914,
-0.0147065715501423, 0.0153730326847651, 0.0144617698521356,
0.0197478508710501, 0.0251269321439706, -0.0103666325237731,
-0.00157067125918319, 0.0115368085910558, -0.0200792001115183,
0.0309994626763721, -0.00718247947811835, 0.0175666609422171,
0.00657518046680547, -0.0281804455661145, 0.0239339965633073,
-0.0040811434351766, -0.00861507762926691, 0.0492982380847687,
0.0101687467126706, 0.0134748887393316, 0.0258425088138871, 0.00378545928098804,
-0.0150120910386031, 0.00362726110322858, -0.00593835966763433,
0.0312603603825787, 0.0111363934978518, 0.00793289404006547,
0.00807089833865603, -0.0118743825996689), .Dim = c(78L, 1L), .Dimnames = list(
NULL, NULL), index = structure(c(1146441600, 1149120000,
1151712000, 1154390400, 1157068800, 1159660800, 1162339200, 1164931200,
1167609600, 1170288000, 1172707200, 1175385600, 1177977600, 1180656000,
1183248000, 1185926400, 1188604800, 1191196800, 1193875200, 1196467200,
1199145600, 1201824000, 1204329600, 1207008000, 1209600000, 1212278400,
1214870400, 1217548800, 1220227200, 1222819200, 1225497600, 1228089600,
1230768000, 1233446400, 1235865600, 1238544000, 1241136000, 1243814400,
1246406400, 1249084800, 1251763200, 1254355200, 1257033600, 1259625600,
1262304000, 1264982400, 1267401600, 1270080000, 1272672000, 1275350400,
1277942400, 1280620800, 1283299200, 1285891200, 1288569600, 1291161600,
1293840000, 1296518400, 1298937600, 1301616000, 1304208000, 1306886400,
1309478400, 1312156800, 1314835200, 1317427200, 1320105600, 1322697600,
1325376000, 1328054400, 1330560000, 1333238400, 1335830400, 1338508800,
1341100800, 1343779200, 1346457600, 1349049600), tzone = "", tclass = "yearmon"), .indexCLASS = "yearmon", tclass = "yearmon", .indexTZ = "", tzone = "", class = c("xts",
"zoo"))
我的R会议：
R version 2.15.1 (2012-06-22)
Platform: i386-pc-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=English_Australia.1252 LC_CTYPE=English_Australia.1252
[3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C
[5] LC_TIME=English_Australia.1252
attached base packages:
[1] stats graphics grDevices datasets utils methods base
other attached packages:
[1] quantmod_0.3-17 TTR_0.21-1 xts_0.8-6
[4] zoo_1.7-8 Defaults_1.1-1 rmgarch_0.97
[7] Matrix_1.0-9 lattice_0.20-10 Kendall_2.2
[10] spd_1.7 KernSmooth_2.23-8 rugarch_1.0-11
[13] Rsolnp_1.12 truncnorm_1.0-6 chron_2.3-42
[16] numDeriv_2012.3-1 MASS_7.3-18 RcppArmadillo_0.3.4.2
[19] Rcpp_0.9.13 rcom_2.2-5 rscproxy_2.0-5
loaded via a namespace (and not attached):
[1] boot_1.3-7 grid_2.15.1
[3] PerformanceAnalytics_1.0.4.4 timeDate_2160.95
[5] timeSeries_2160.94 tools_2.15.1
给我的代码有问题：
op <- par(no.readonly = TRUE)
library(PerformanceAnalytics)
charts.PerformanceSummary(R = ret.tot, Rf = .0)
table.AnnualizedReturns(R = ret.tot, scale = 12, Rf = 0)
table.Returns(R = ret.tot)
detach(package:PerformanceAnalytics)
par(op)
上面的代码返回以下错误：
> table.AnnualizedReturns(R = ret.tot, scale = 12, Rf = 0)
Error in xts(rep(Rf, length(indexseries)), order.by = indexseries) :
order.by requires an appropriate time-based object
> table.Returns(R = ret.tot)
Error in matrix(unlist(value, recursive = FALSE, use.names = FALSE), nrow = nr, :
'data' must be of a vector type
我猜想
PerformanceAnalytics与其他软件包之间存在一些冲突，但我不知道谁是罪魁祸首...ret.tot <- xts(ret.tot, order.by = as.POSIXct(index(ret.tot)))
所以...
> charts.PerformanceSummary(R = ret.tot, Rf = .0)
Error in UseMethod("first") :
no applicable method for 'first' applied to an object of class "c('xts', 'zoo')"
> table.AnnualizedReturns(R = ret.tot, scale = 12, Rf = 0)
NA
Annualized Return 0.0335
Annualized Std Dev 0.1144
Annualized Sharpe (Rf=0%) 0.2928
> table.Returns(R = ret.tot)
Error in matrix(unlist(value, recursive = FALSE, use.names = FALSE), nrow = nr, :
'data' must be of a vector type
啊！
（与
as.Date()相同）。 最佳答案
我可以重现您的问题，但是使用完全不同的系统（请参见下文）。因此，我认为您的问题不是由于已安装的那些软件包所致。
我的猜测是PerformanceAnalytics中的某些函数不希望使用yearmon日期类型，因此请尝试将其转换为POSIXct。是的，我刚刚确认：
z=xts(coredata(ret.tot), order.by=as.POSIXct(index(ret.tot)) )
table.AnnualizedReturns(R = z, scale=12,Rf=0)
给出以下内容：
NA
Annualized Return 0.0335
Annualized Std Dev 0.1144
Annualized Sharpe (Rf=0%) 0.2928
更新为您的更新
charts.PerformanceSummary()对我来说都适用，对as.POSIXct和as.Date对象都适用。也许重新尝试一下，重新体验一下？对于
table.Returns，我通过给列命名来解决它！这有点奇怪，而且没有记录，因此您可以提交错误报告。但只要给它起一个名字：colnames(ret.tot)=c('something')
这是我的sessionInfo（）
R version 2.15.1 (2012-06-22)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C LC_TIME=en_US.utf8 LC_COLLATE=en_US.utf8 LC_MONETARY=en_US.utf8 LC_MESSAGES=en_US.utf8
[7] LC_PAPER=C LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] PerformanceAnalytics_1.0.4.4 xts_0.8-6 zoo_1.7-7
loaded via a namespace (and not attached):
[1] grid_2.15.1 lattice_0.20-10 tools_2.15.1