我正在处理包含一些信息的基本数据帧,此信息用于生成数据列的新列。
我曾尝试使用map2函数,但结果并不理想,使用nest函数和来自purrr包的小标题,结果与我期望的结果更接近。
modelBuilder.Entity<MyModel>().Property(x=>x.Id).HasDefaultValueSql("NEWSEQUENTIALID()");
生成新列时,将其创建为列表列表,而不创建为元素列表。
library(tidyverse)
library(dplyr)
library(purrr)
library(RcppRoll)
dfBase <- data.frame(id = sample(letters[1:3], 3, replace = TRUE),
dat1 = rnorm(n = 3, 1, 1),
dat2 = rnorm(n = 3, 2, 1))
View(dfBase)
dfOperations <- function(dat1, dat2){
Sum = dat1+dat2
Rest = dat1-dat2
Mult = dat1*dat2
Div = dat1/dat2
test <- tibble(
Opera = c('Sum','Rest','Mult','Div'),
Resul = c(Sum, Rest, Mult, Div))%>%nest()
}
for (x in 1:nrow(dfBase)) {
dfBase$Result[x] <- dfOperations(dfBase$dat1[x],dfBase$dat2[x])
}
dfBase
str(dfBase)
View(dfBase$Result)
如何删除或消除列表1,仅留下第二个列表Opera and Resul?
答案 0 :(得分:1)
尝试对每次循环迭代使用dfOperations
访问[[1]]
的输出:
for (x in 1:nrow(dfBase)) {
dfBase$Result[x] <- dfOperations(dfBase$dat1[x],dfBase$dat2[x])[[1]]
}
'data.frame': 3 obs. of 4 variables:
$ id : Factor w/ 3 levels "a","b","c": 1 3 2
$ dat1 : num 0.849 2.659 0.862
$ dat2 : num 2.45 1.15 1.35
$ Result:List of 3
..$ :Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 4 obs. of 2 variables:
.. ..$ Opera: chr "Sum" "Rest" "Mult" "Div"
.. ..$ Resul: num 3.301 -1.603 2.082 0.346
..$ :Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 4 obs. of 2 variables:
.. ..$ Opera: chr "Sum" "Rest" "Mult" "Div"
.. ..$ Resul: num 3.81 1.51 3.06 2.31
..$ :Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 4 obs. of 2 variables:
.. ..$ Opera: chr "Sum" "Rest" "Mult" "Div"
.. ..$ Resul: num 2.208 -0.484 1.16 0.64