Question

初步步骤：

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

汇总 CO2数据框架会得出正确的结果：

    > 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

但是，使用 CO2list 时，以下四次 aggregate（）尝试收到错误消息。

问题：如何使用 CO2list 进行汇总工作，该列表是 Mode 的 data.frame 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TypeError: 'module' object is not callable.，具有单列data.frame，并且名称也已更改。一种选择是通过list设置cbind元素然后将其list

转换回单个data.frame。

aggregate

或提取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元素并在list中使用

aggregate

无法与模式“列表”的data.frame一起使用aggregate（）

1 个答案: