任何更清洁/优雅的方式来创建列表列表而不使用'for'构造？

Question

我需要创建一个对象来计算和存储过去两年中每年每个月的网格中14个节点的3组电价(峰值,非峰值和日平均值).我认为嵌入式列表数据结构是合适的(如果这不是最优的,请纠正我).

在任何情况下,我都不喜欢使用for循环来创建这个结构.如果有一种优雅的方式来做到这一点,我将不胜感激,如果有人可以帮助引导我朝着正确的方向前进.我正在努力练习和改进我的编码.谢谢.

hb_lz_names <- c("HB_BUSAVG", "HB_HOUSTON", "HB_HUBAVG", "HB_NORTH", "HB_SOUTH", 
"HB_WEST", "LZ_AEN", "LZ_CPS", "LZ_HOUSTON", "LZ_LCRA", "LZ_NORTH", 
"LZ_RAYBN", "LZ_SOUTH", "LZ_WEST")

power_price <- list()
for (i in 1:2){
  power_price[[i]] <- list()
  for (j in 1:12){
    power_price[[i]][[j]] <- list()
    for (k in 1:NROW(hb_lz_names)) {
      power_price[[i]][[j]][[k]] <- list()
      for (l in 1:3){
        power_price[[i]][[j]][[k]][[l]] <- l
      }
      names(power_price[[i]][[j]][[k]]) <- c("on-peak", "off-peak", "average")
    }
    names(power_price[[i]][[j]]) <- hb_lz_names
  }
  names(power_price[[i]]) <- c("jan", "feb", "mar", "apr", "may", "jun", "jul", "aug",
                             "sep", "oct", "nov", "dec")
}
names(power_price) <- c("2011", "2012")

Answer 1

我认为,对于一个经常这样设置(不是衣衫褴褛)的数据你会多更好使用数组:

period_names <- c("on-peak", "off-peak", "average")
hb_lz_names <- c("HB_BUSAVG", "HB_HOUSTON", "HB_HUBAVG", "HB_NORTH", "HB_SOUTH", 
"HB_WEST", "LZ_AEN", "LZ_CPS", "LZ_HOUSTON", "LZ_LCRA", "LZ_NORTH", 
"LZ_RAYBN", "LZ_SOUTH", "LZ_WEST")
yrs <- 2011:2012

power.price <- array(1,dim=c(2,12,length(hb_lz_names),length(period_names)))
dimnames(power.price) <- list(year=yrs,month=month.abb,node=hb_lz_names,
                              period=period_names)

(给名字的元素在dimnames试图记住阵列结构可以是一个很大的帮助......名单- -即命名您的维度)

然后,您可以使用apply和转换为长格式(用于ggplot图形或统计分析)轻松计算相应边距的平均值(或其他汇总统计数据)reshape2::melt...根据我的经验,深度嵌套列表是一个痛苦的对接.