无法将 aggregate() 与模式 'list' 的 data.frame 一起使用

Question

初步步骤：

#======================
# added ‘height’ column to the in-built data.frame: CO2
height <- runif(84, 30.0, 44)
cbind(CO2, height)
#======================

聚合 CO2 数据框 产生正确的结果：

    > aggregate(cbind(height,uptake)~conc, CO2, mean)
      conc   height   uptake
    1   95 37.04813 12.25833
    2  175 38.14815 22.28333
    3  250 34.70362 28.87500
    4  350 32.81782 30.66667
    5  500 37.19268 30.87500
    6  675 36.16915 31.95000
    7 1000 37.33184 33.58333

Alternatively,
> aggregate(CO2[,cbind("height","uptake")], by = list(CO2$conc), FUN = mean)
  Group.1   height   uptake
1      95 37.04813 12.25833
2     175 38.14815 22.28333
3     250 34.70362 28.87500
4     350 32.81782 30.66667
5     500 37.19268 30.87500
6     675 36.16915 31.95000
7    1000 37.33184 33.58333

但是，当我将 CO2 转换为列表时：

> CO2list <- lapply(CO2, as.data.frame)
> summary(CO2list)
          Length Class      Mode
Plant     1      data.frame list
Type      1      data.frame list
Treatment 1      data.frame list
conc      1      data.frame list
uptake    1      data.frame list
height    1      data.frame list

使用 CO2list，但是，我在下面的四个 aggregate() 尝试中收到错误。

问题：如何使用 CO2list 进行聚合，它是 data.frame 的模式 '列表'?

> aggregate(cbind(height,uptake)~conc, CO2list, mean)
Error in model.frame.default(formula = cbind(height, uptake) ~ conc, data = CO2list) : 
  invalid type (list) for variable 'cbind(height, uptake)'

> aggregate(CO2list[,cbind("height","uptake")], by = list(CO2list$conc), FUN = mean)
Error in CO2list[, cbind("height", "uptake")] : 
  incorrect number of dimensions
> aggregate(cbind(height,uptake), by = list(CO2list$conc), FUN = mean)
Error in cbind(height, uptake) : object 'uptake' not found
> aggregate(cbind(CO2list$height,CO2list$uptake), by = list(CO2list$conc), FUN = mean)
Error in aggregate.data.frame(cbind(CO2list$height, CO2list$uptake), by = list(CO2list$conc),  : 
  arguments must have same length

谢谢

Answer 1

它是一个 list 单列 data.frame 并且名称也更改了。一种选择是通过 cbinding list 元素将其转换回单个 data.frame，然后应用 aggregate

newDat <- setNames(do.call(cbind, CO2list), names(CO2list))
aggregate(cbind(height,uptake)~conc, newDat, mean)
#  conc   height   uptake
#1   95 39.15248 12.25833
#2  175 35.38677 22.28333
#3  250 38.56924 28.87500
#4  350 37.73494 30.66667
#5  500 35.37963 30.87500
#6  675 36.26344 31.95000
#7 1000 36.43538 33.58333

或者提取 list 元素并在 aggregate

中使用它

aggregate(cbind(height, uptake = CO2list[["uptake"]][[1]]), 
      list(conc = CO2list[["conc"]][[1]]), FUN = mean)
#  conc   height   uptake
#1   95 39.15248 12.25833
#2  175 35.38677 22.28333
#3  250 38.56924 28.87500
#4  350 37.73494 30.66667
#5  500 35.37963 30.87500
#6  675 36.26344 31.95000
#7 1000 36.43538 33.58333

无法将 aggregate() 与模式 'list' 的 data.frame 一起使用

unable to use aggregate() with data.frame of mode 'list'

r

list

dataframe

aggregate

mode