我无法让 xts 识别行名中的时间序列

I cannot get xts to recognize Time Series in rownames

我的 xts 包有问题。我正在尝试从数据帧创建一个 xts。为了简单起见,我尝试在下面的小 df 上复制我正在尝试做的事情:

> df <- japanTOPIX[,1, drop = FALSE]
> typeof(df[,1])
[1] "double"
> typeof(rownames(df))
[1] "character"
> head(df, 3)
           X7164.JT.Equity
12/27/2000            65.0
12/28/2000            66.5
12/29/2000            66.2
> head(as.Date(rownames(df), format = "%m/%d/%Y"),3)
[1] "2000-12-27" "2000-12-28" "2000-12-29"
> timeBased(as.Date(rownames(df), format = "%m/%d/%Y"))
[1] TRUE
> xts(df, by = as.Date(rownames(df), format = "%m/%d/%Y"))
Error in xts(df, by = as.Date(rownames(df), format = "%m/%d/%Y")) : 
  order.by requires an appropriate time-based object
> head(strptime(rownames(df), format = "%m/%d/%Y"),3)
[1] "2000-12-27 EST" "2000-12-28 EST" "2000-12-29 EST"
> timeBased(strptime(rownames(df), format = "%m/%d/%Y"))
[1] TRUE
> xts(df, by = strptime(rownames(df), format = "%m/%d/%Y"))
Error in xts(df, by = strptime(rownames(df), format = "%m/%d/%Y")) : 
  order.by requires an appropriate time-based object
> head(as.POSIXlt(rownames(df), format = "%m/%d/%Y"),3)
[1] "2000-12-27 EST" "2000-12-28 EST" "2000-12-29 EST"
> timeBased(as.POSIXlt(rownames(df), format = "%m/%d/%Y"))
[1] TRUE
> xts(df, by = as.POSIXlt(rownames(df), format = "%m/%d/%Y"))
Error in xts(df, by = as.POSIXlt(rownames(df), format = "%m/%d/%Y")) : 
  order.by requires an appropriate time-based object
> head(as.POSIXct(rownames(df), format = "%m/%d/%Y"),3)
[1] "2000-12-27 EST" "2000-12-28 EST" "2000-12-29 EST"
> timeBased(as.POSIXct(rownames(df), format = "%m/%d/%Y"))
[1] TRUE
> xts(df, by = as.POSIXct(rownames(df), format = "%m/%d/%Y"))
Error in xts(df, by = as.POSIXct(rownames(df), format = "%m/%d/%Y")) : 
  order.by requires an appropriate time-based object

如您所见,我每次尝试创建此 xts 时都遇到错误。该包声称我不是按基于时间的对象排序,但 'by = ' 变量实际上是基于时间的。有帮助吗?? (如果示例或代码不清楚,请告诉我,我会尽力澄清。)

编辑:我认为这可能与行名中的一些非唯一值有关,但事实并非如此:

> nrow(df)
[1] 5115
> length(unique(rownames(df)))
[1] 5115

您错误地使用了 xts 函数。第二个参数应该是 order.by 而不是 by。使用您的数据查看以下示例:

数据:

df <- read.table(text='
           X7164.JT.Equity
12/27/2000            65.0
12/28/2000            66.5
12/29/2000            66.2')

解决方案:

> xts(df, order.by = as.Date(rownames(df), format = "%m/%d/%Y"))
           X7164.JT.Equity
2000-12-27            65.0
2000-12-28            66.5
2000-12-29            66.2

如您所见,它按预期工作!

P.S。除了 as.Date,您还可以使用 as.POSIXctas.POSIXltstrptime。所有这些都正常工作!