我正在尝试根据 data.frame 中包含的值来重塑和“扩展”data.frame。下面是我开始使用的数据框的结构:
起始结构:
'data.frame': 9 obs. of 5 variables:
$ Delivery.Location : chr "Henry" "Henry" "Henry" "Henry" ...
$ Price : num 2.97 2.96 2.91 2.85 2.89 ...
$ Trade.Date : Date, format: "2012-01-03" "2012-01-04" "2012-01-05" "2012-01-06" ...
$ Delivery.Start.Date : Date, format: "2012-01-04" "2012-01-05" "2012-01-06" "2012-01-07" ...
$ Delivery.End.Date : Date, format: "2012-01-04" "2012-01-05" "2012-01-06" "2012-01-09" ...
该价格数据来自的市场称为“次日市场”,因为天然气的实物交割通常是天然气交易后的第二天(即Trade.Date
上述)。我强调通常是因为周末和节假日会出现例外情况,在这种情况下,交货期可能是多天(即 2-3 天)。但是,数据结构提供了明确声明Delivery.Start.Date
and的变量Delivery.End.Date
。
我正在尝试通过以下方式重构 data.frame 以生成一些时间序列图表并进行额外分析:
所需结构:
$ Delivery.Location
$ Trade.Date
$ Delivery.Date <<<-- How do I create this variable?
$ Price
如何Delivery.Date
根据现有变量Delivery.Start.Date
和变量创建Delivery.End.Date
变量?
换句话说,来自 2012-01-06 Trade.Date 的数据如下所示:
Delivery Location Price Trade.Date Delivery.Start.Date Delivery.End.Date
Henry 2.851322 2012-01-06 2012-01-07 2012-01-09
我想以某种方式“填写” Delivery.Location & Price for 2012-01-08以获得如下信息:
Delivery Location Price Trade.Date Delivery.Date
Henry 2.851322 2012-01-06 2012-01-07
Henry 2.851322 2012-01-06 2012-01-08 <--new record "filled in"
Henry 2.851322 2012-01-06 2012-01-09
下面是我的 data.frame 的一个子集示例:
##--------------------------------------------------------------------------------------------
## sample data
##--------------------------------------------------------------------------------------------
df <- structure(list(Delivery.Location = c("Henry", "Henry", "Henry", "Henry", "Henry", "Henry", "Henry", "Henry", "Henry"), Price = c(2.96539814293754, 2.95907652120467, 2.9064360152398, 2.85132233314846, 2.89036418816388,2.9655845029802, 2.80773394495413, 2.70207160426346, 2.67173237617745), Trade.Date = structure(c(15342, 15343, 15344, 15345, 15348, 15349, 15350, 15351, 15352), class = "Date"), Delivery.Start.Date = structure(c(15343, 15344, 15345, 15346, 15349, 15350, 15351, 15352, 15353), class = "Date"), Delivery.End.Date = structure(c(15343, 15344, 15345, 15348, 15349, 15350, 15351, 15352, 15356), class = "Date")), .Names = c("Delivery.Location", "Price", "Trade.Date", "Delivery.Start.Date", "Delivery.End.Date"), row.names = c(35L, 150L, 263L, 377L, 493L, 607L, 724L, 838L, 955L), class = "data.frame")
str(df)
##--------------------------------------------------------------------------------------------
## create sequence of Delivery.Dates to potentially use
##--------------------------------------------------------------------------------------------
rng <- range(c(range(df$Delivery.Start.Date), range(df$Delivery.End.Date)))
Delivery.Date <- seq(rng[1], rng[2], by=1)
任何帮助或一般指导将不胜感激。