Question

R dplyr变异代码可将df $ Acres从“ 10-Jan”更改为“ 1到10”。但是，一个负面影响是，当进行-> df $ Acres分配时，列名“ Acres”的其余data.frame添加了“ Acres.Acres”，“ Acres.FamilyIncome”。这可以在下面的str（df）中看到：

df %>%
  mutate(Acres = case_when(Acres == "10-Jan" ~ "1 to 10",
                           TRUE ~ Acres)) -> df$Acres


> str(df)
'data.frame':    22745 obs. of  18 variables:
 $ Acres       :'data.frame':    22745 obs. of  18 variables:
  ..$ Acres       : chr  "1 to 10" "1 to 10" "1 to 10" "1 to 10" ...
  ..$ FamilyIncome: int  150 180 280 330 330 480 520 550 1400 1400 ...
  ..$ FamilyType  : chr  "Married" "Female Head" "Female Head" "Female Head" ...
  ..$ NumBedrooms : int  4 3 4 2 3 0 3 3 3 3 ...
  ..$ NumChildren : int  1 2 0 1 1 3 2 1 1 2 ...
  ..$ NumPeople   : int  3 4 2 2 2 4 3 2 4 3 ...
  ..$ NumRooms    : int  9 6 8 4 5 1 8 5 9 7 ...
  ..$ NumUnits    : chr  "Single detached" "Single detached" "Single detached" "Single detached" ...
  ..$ NumVehicles : int  1 2 3 1 1 0 0 1 2 1 ...
  ..$ NumWorkers  : int  0 0 1 0 0 0 0 1 1 1 ...
  ..$ OwnRent     : chr  "Mortgage" "Rented" "Mortgage" "Rented" ...
  ..$ YearBuilt   : chr  "1950-1959" "Before 1939" "2000-2004" "1950-1959" ...
  ..$ HouseCosts  : int  1800 850 2600 1800 860 700 270 800 710 1500 ...
  ..$ ElectricBill: int  90 90 260 140 150 140 130 1 150 300 ...
  ..$ FoodStamp   : chr  "No" "No" "No" "No" ...
  ..$ HeatingFuel : chr  "Gas" "Oil" "Oil" "Oil" ...
  ..$ Insurance   : int  2500 0 6600 0 660 0 100 0 1000 0 ...
  ..$ Language    : chr  "English" "English" "Other European" "English" ...
 $ FamilyIncome: int  150 180 280 330 330 480 520 550 1400 1400 ...
 $ FamilyType  : chr  "Married" "Female Head" "Female Head" "Female Head" ...

原始data.frame具有18个变量，在执行dplyr突变后，更新的data.frame仍然具有18个变量，但是现在添加了“ Acres.Acres”，“ Acres.FamilyIncome”等。

Answer 1

我不确定您要在这里实现什么，但是为什么不这样保存数据框呢？

NSCache

对R dplyr突变分配给data.frame的负面影响

1 个答案: