我有以下问题。基本上我有数据，遵循公历和数据，遵循360天日历和365天日历（没有闰年）。它是Model的一个特性，它提供数据。我只能在库（PCICt）的帮助下为具有360或365天日历的数据创建时间索引，因此时间索引是PCICt类，而不是具有360d或365d日历的那些数据集的类日期。
我设法用365天的日历轻松更改数据的时间索引类，因为它总是错过2月29日。总的来说，它比使用公历的数据少了几天，这就是为什么以下代码有效：
index(Modellwind.IPSL.1971_2100.mat.5.zoo) <- as.Date(paste(index(Modellwind.IPSL.1971_2100.mat.5.zoo), "%Y-%m-%d"))
class(index(Modellwind.IPSL.1971_2100.mat.5.zoo))
any(is.na(Modellwind.IPSL.1971_2100.mat.5.zoo))
我可以使用以下代码将数据与带有365天日历的数据的Gregorian日历合并（Modellwind.IPSL.1971_2100.mat.5.zoo有360d日历）：
library(zoo)
library(PCICt)
Mergedata.Gregorian_cal.365d_cal <- merge(Modellwind.1971_2100.mat.5.zoo[,1],Modellwind.IPSL.1971_2100.mat.5.zoo[,1], fill = NA)
sum(is.na(Mergedata.Gregorian_cal.365d_cal)) #Gives you the number of leap years between the starting date and end date. Between 1971 and 2100, you have 32 leap years.
问题是，360天日历每月有30天。因为2月30日不存在，我不能使用上面的方法。是否有可能使用公历日历使用数据集的索引，用360天日历掩盖数据中的天数，这些天数不存在于具有公历的数据中？我会在每天有31天的NA数据中使用360天日历，有31天，2月30日将被排除/“删除”。
所有这两种日历类型的1972年的示例数据。 1972年是闰年。
与公历的数据：
structure(c(18.0824119718086, 22.0984972927228, 15.6444417189609,
5.89666444009656, 18.1725165479582, 21.9512885928156, 4.88193965506205,
13.933395151291, 13.0150555148858, 12.2412020084762, 15.1707058527428,
11.9102181846508, 11.8373087451369, 4.88134153024087, 3.9195944541078,
8.15191977152853, 16.4878972832708, 22.3388856060094, 24.9339938808775,
9.40486557731387, 3.28778357417694, 5.4431969404311, 20.9010729191345,
21.576769300227, 23.5252763396514, 18.7725442737342, 19.7400816746119,
16.9286422645386, 11.5214494652195, 12.6356049638603, 7.8885628659944,
7.81687922456664, 4.76970848125104, 4.71443717941174, 4.3332862268629,
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6.50186468363422, 2.72654917702192, 4.76044540462425, 9.33231780065151,
2.94546305078892, 4.67014980066904, 23.8062593679947, 20.0513022569902,
17.0747102447771, 22.1857749192152, 16.3213003571625, 5.59820337769238,
11.7719699596263, 2.80575446040357, 6.01800547567089, 8.40297112483879,
11.8088715968982, 4.98554106381165, 4.57889903991417, 5.46723000525948,
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14.4548913656037, 18.1364925154159, 25.6372229193355, 10.7132780942731,
3.39420618551996, 18.5659343284766, 21.7217416658684, 18.5067855518246,
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1.68865280924914, 14.4333064594824, 20.5250630694977, 24.0600954370164,
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360天日历数据：
structure(c(16.2042726556084, 5.54411632675392, 8.39523962307452,
12.9056155820263, 2.61097842984656, 5.36226881021485, 6.11436671091439,
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), cal = "360", months = c(30, 30, 30, 30, 30, 30, 30, 30, 30,
30, 30, 30), class = "PCICt", dpy = 360, tzone = "GMT", units = "secs"), class = "zoo")
答案 0 :(得分：1)
我不熟悉360天日历，但360天的日历指数似乎是历史第二，其历史可以追溯到1970-01-01格里高利历。如果是这种情况，此代码将起作用。
library(data.table)
library(dplyr)
date <- attr(vec360, "index") %>% as.numeric() %>% as.POSIXct(origin="1970-01-01") %>% as.Date()
dt360 <- data.table(vec360, date)
date <- attr(vec365, "index")
dt365 <- data.table(vec365, date)
merged <- merge(dt360, dt365, all = T)
print(merged)
# date vec360 vec365
# 1: 1971-12-22 16.204273 NA
# 2: 1971-12-23 5.544116 NA
# 3: 1971-12-24 8.395240 NA
# 4: 1971-12-25 12.905616 NA
# 5: 1971-12-26 2.610978 NA
# ---
# 372: 1972-12-27 NA 20.525063
# 373: 1972-12-28 NA 24.060095
# 374: 1972-12-29 NA 13.411095
# 375: 1972-12-30 NA 2.920785
# 376: 1972-12-31 NA 9.063221
# get a zoo object back
merged_zoo <- zoo(merged)
请务必检查360天矢量索引中的纪元秒是否具有1970-01-01的原点。