用来自低分辨率动物园对象的数据填充高分辨率动物园对象

Question

我有一个每小时观察一次的动物园对象，一个每天观察一次的对象。我的目标是通过索引将两个系列合并到一个对象中，我将每日值与同一日期的所有每小时值进行匹配。

具体来说，第一个对象 zX 包含没有缺失值的每小时观察值。第二个对象 zY 包含特定日期的列表。这些应该添加到 zX 作为当天每次观察的虚拟变量。

library(zoo)

# 3 days of data with hourly resoulution
x <- runif(24*3)
indexHour <- as.POSIXct(as.Date("2015-01-01") + seq(0, (24*3-1)/24, 1/24))
zX <- zoo(x, indexHour)

# Only 2 days of data with daily resolution - one date is missing
y <- c(0, 2)
indexDay <- as.POSIXct(c(as.Date("2015-01-01"), as.Date("2015-01-3")))
zY <- zoo(y, indexDay)

预期输出

2015-01-01 00:00:00 0.78671677  0
2015-01-01 01:00:00 0.40625297  0
... 
2015-01-01 23:00:00 0.75371677  0
2015-01-02 00:00:00 0.34571677  NA
2015-01-02 01:00:00 0.40625297  NA
...
2015-01-02 23:00:00 0.12671677  NA
2015-01-03 00:00:00 0.54671677  2
2015-01-03 01:00:00 0.40625297  2
...
2015-01-03 23:00:00 0.23671677  2

Answer 1

试试这个：

z <- cbind(zX, zY =  coredata(zY)[match(as.Date(time(zX)), as.Date(time(zY)))])

给予：

> head(z, 30)
                            zX zY
2014-12-31 19:00:00 0.20050507  0
2014-12-31 20:00:00 0.98745944  0
2014-12-31 21:00:00 0.02685118  0
2014-12-31 22:00:00 0.82922065  0
2014-12-31 23:00:00 0.77466073  0
2015-01-01 00:00:00 0.87494486  0
2015-01-01 01:00:00 0.39466493  0
2015-01-01 02:00:00 0.49233047  0
2015-01-01 03:00:00 0.19231866  0
2015-01-01 04:00:00 0.91684281  0
2015-01-01 05:00:00 0.48264758  0
2015-01-01 06:00:00 0.08900482  0
2015-01-01 07:00:00 0.48236308  0
2015-01-01 08:00:00 0.30624266  0
2015-01-01 09:00:00 0.48860905  0
2015-01-01 10:00:00 0.18761759  0
2015-01-01 11:00:00 0.37730202  0
2015-01-01 12:00:00 0.51766405  0
2015-01-01 13:00:00 0.30146257  0
2015-01-01 14:00:00 0.66511275  0
2015-01-01 15:00:00 0.66457355  0
2015-01-01 16:00:00 0.92248105  0
2015-01-01 17:00:00 0.17868851  0
2015-01-01 18:00:00 0.71363131  0
2015-01-01 19:00:00 0.82189523 NA
2015-01-01 20:00:00 0.73392131 NA
2015-01-01 21:00:00 0.95409518 NA
2015-01-01 22:00:00 0.49774272 NA
2015-01-01 23:00:00 0.27700155 NA
2015-01-02 00:00:00 0.85833340 NA

Answer 2

受 How to join (merge) data frames (inner, outer, left, right)? 中的连接语句的启发，以下代码产生所需的输出：

x <- cbind(x = coredata(zX), date = format(as.Date(index(zX))))
y <- cbind(y = coredata(zY), date = format(as.Date(index(zY))))
z <- zoo(merge(x, y, by = 'date', all.x=TRUE), index(zX))
z <- z[,!colnames(z) %in% c('date')]
View(z)

用来自低分辨率动物园对象的数据填充高分辨率动物园对象

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