R XTS to.weekly返回不同的每周端点

R XTS to.weekly返回不同的每周端点,r,xts,zoo,R,Xts,Zoo,我遇到一个问题,xts中的endpoints()函数(以及使用端点的to.weekly函数)有时返回星期五作为周末,有时返回星期一 我的数据集称为sp2 > head(sp2) [,1] 2012-01-09 1.78 2012-01-10 1.78 2012-01-11 1.77 2012-01-12 1.80 2012-01-13 1.77 2012-01-16 1.77 > tail(sp2) [,1] 2012-06-28 1.9

我遇到一个问题,
xts
中的
endpoints()
函数(以及使用端点的
to.weekly
函数)有时返回星期五作为周末,有时返回星期一

我的数据集称为
sp2

> head(sp2)
           [,1]
2012-01-09 1.78
2012-01-10 1.78
2012-01-11 1.77
2012-01-12 1.80
2012-01-13 1.77
2012-01-16 1.77

> tail(sp2)
           [,1]
2012-06-28 1.94
2012-06-29 1.92
2012-07-02 1.92
2012-07-03 1.90
2012-07-04 1.89
2012-07-05 1.89

> class(sp2)
[1] "xts" "zoo"

> weekdays(index(sp2))
  [1] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [11] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [21] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [31] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [41] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [51] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [61] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [71] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [81] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
 [91] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
[101] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
[111] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"   
[121] "Monday"    "Tuesday"   "Wednesday" "Thursday"  "Friday"    "Monday"    "Tuesday"   "Wednesday" "Thursday" 
因此,正如您所看到的,数据系列中没有缺少工作日

然而

> weekdays(index(to.weekly(sp2)))
 [1] "Friday"   "Friday"   "Friday"   "Friday"   "Friday"   "Friday"   "Friday"   "Friday"   "Friday"   "Friday"   "Monday"  
[12] "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"  
[23] "Monday"   "Monday"   "Monday"   "Thursday"
当然,这应该一直是星期五(除了今天的最后一点,星期四)

我做错了什么,有解决办法吗

我希望计算这个数据系列从周五到周五的每周变化

可复制示例

i <- as.Date((as.numeric(Sys.Date())-200):as.numeric(Sys.Date()))
x <- xts(rep(1, length(i)), order.by = i)
weekdays(index(to.weekly(x)))
#  [1] "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"  
# [14] "Sunday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"   "Monday"  
# [27] "Monday"   "Monday"   "Monday"   "Thursday"
y <- xts(rep(1, length(i)), order.by = as.POSIXct(i))
weekdays(index(to.weekly(y)))
# [1] "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"  
# [14] "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"   "Sunday"  
# [27] "Sunday"   "Sunday"   "Sunday"   "Thursday"

i这是CRAN版本中的一个bug,已在R-Forge上修复。基本上,索引中的时间部分并没有被删除,你在时区和夏令时方面遇到了一些麻烦

使用已更正的功能

require(xts)
i <- Sys.Date()+200:0
x <- xts(rep(1, length(i)), order.by = i)
y <- xts(rep(1, length(i)), order.by = as.POSIXct(i))
all.equal(weekdays(index(to.weekly(x))), weekdays(index(to.weekly(y))))
require(xts)

我知道您使用的是什么版本的xts?我刚刚升级到R2.15.1并运行了更新。packages()。显示“0.8-2”。哦,我看到我们在0.8-6。更新(是/否/否)?y警告:软件包“xts”、“zoo”正在使用中,不会安装,这可能是问题所在。让我来解决它…如果问题在更新后仍然存在,你能举个例子吗?我找到了解决方案。我的日期索引数据(来自彭博社)是“日期”格式的。将其更改为POSIXct解决了这个问题。