虚拟动物园对象创建为
z <- zoo(11:15, as.Date(31:45))
as.data.frame(z)
z
1970-02-01 11
1970-02-02 12
1970-02-03 13
1970-02-04 14
1970-02-05 15
1970-02-06 11
1970-02-07 12
1970-02-08 13
1970-02-09 14
1970-02-10 15
1970-02-11 11
1970-02-12 12
1970-02-13 13
1970-02-14 14
1970-02-15 15
rollapply function can be used to calculate mean as:
as.data.frame(rollapply(z, width=3, by=2, mean, align="left"))
1970-02-01 12.00000
1970-02-03 14.00000
1970-02-05 12.66667
1970-02-07 13.00000
1970-02-09 13.33333
1970-02-11 12.00000
1970-02-13 14.00000
我想要的格式: 是否可以添加具有结束日期的另一列(II列/结束窗口),如下所示[使用rollapply或使用上面使用的xts / zoo对象的其他方法]
start_window end_window mean
1970-02-01 1970-02-03 12.00000
1970-02-03 1970-02-05 14.00000
1970-02-05 1970-02-07 12.66667
1970-02-07 1970-02-09 13.00000
1970-02-09 1970-02-11 13.33333
1970-02-11 1970-02-13 12.00000
1970-02-13 1970-02-15 14.00000
请建议一种方法。提前致谢
答案 0 :(得分:3)
1) zoo
有fortify.zoo
方法生成一个Index
列的数据框,因此假设r
是rollapply
的输出library(ggplot2)
r <- rollapply(z, width=3, by=2, mean, align="left") # as in question
DF <- transform(fortify(r), end_date = Index + 2)
giving:
> DF
Index r end_date
1 1970-02-01 12.00000 1970-02-03
2 1970-02-03 14.00000 1970-02-05
3 1970-02-05 12.66667 1970-02-07
4 1970-02-07 13.00000 1970-02-09
5 1970-02-09 13.33333 1970-02-11
6 1970-02-11 12.00000 1970-02-13
7 1970-02-13 14.00000 1970-02-15
在问题中给出。然后,对于宽度为3,结束日期是相应开始日期之后的2天,所以:
DF <- setNames(DF[c(1, 3:2)], c("start_date", "end_date", "mean"))
如果列顺序和列名称必须如下所示:
r
2)假设上面有data.frame(start_date = time(r), end_date = time(r) + 2, mean = coredata(r))
,这也可行:
{{1}}
答案 1 :(得分:2)
只需将两个rollapply-s的结果添加到数据帧中即可实现简单的黑客攻击。
#Your code
library(zoo)
z <- zoo(11:15, as.Date(31:45))
as.data.frame(z)
as.data.frame(rollapply(z, width=3, by=2, mean, align="left"))
参考开始和结束的数据
frame1 <- as.data.frame(rollapply(z, width=3, by=2, mean, align="left"))
frame2 <- as.data.frame(rollapply(z, width=3, by=2, mean, align="right"))
将它们添加到数据框
frame3 <- data.frame(Start = row.names(frame1), Finish = row.names(frame2), frame1[1])
row.names(frame3) <- c(1:length(frame3[,1]))
names(frame3)[3] <- "Mean"
结果
frame3
Start Finish Mean
1 1970-02-01 1970-02-03 12.00000
2 1970-02-03 1970-02-05 14.00000
3 1970-02-05 1970-02-07 12.66667
4 1970-02-07 1970-02-09 13.00000
5 1970-02-09 1970-02-11 13.33333
6 1970-02-11 1970-02-13 12.00000
7 1970-02-13 1970-02-15 14.00000