fli*_*ngs 1 for-loop nested r subset lapply
我正在尝试在我的数据集中创建一个新列,告诉我产品的所有3个月的收入是0,所有3个月都是0,或者3个月都没有0.
我提供NewColumn了我想要的结果.
data$ZEROES <- 0
data$ZEROES2 <- 0
for (i in unique(data$product_id)){
for (j in unique(data$Revenue)){
n[j] <-ifelse(all(data$Value == 0)," ALL 0",
ifelse(any(data$Value == 0),"Some 0",
ifelse(all(data$Value != 0), "None 0", "Blank")))
data$ZEROES[j] <-n[j]
data$ZEROES2[i] <-long$ZEROES[j]
}
}
product_ id Date Revenue Value NewColumn
1 January in 0 Some 0
1 February in 1 Some 0
1 March in 0 Some 0
1 January out 0 All 0
1 February out 0 All 0
1 March out 0 All 0
2 January in 1 No 0
2 February in 2 No 0
2 March in 3 No 0
2 January out 1 Some 0
2 February out 1 Some 0
2 March out 0 Some 0
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数据
structure(list(product_id = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L),
Date = c("January", "February", "March", "January", "February", "March", "January", "February", "March", "January", "February", "March"),
Revenue = c("in", "in", "in", "out", "out", "out", "in", "in", "in", "out", "out", "out"),
Value = c(0L, 1L, 0L, 0L, 0L, 0L, 1L, 2L, 3L, 1L, 1L, 0L),
NewColumn = c("Some 0", "Some 0", "Some 0", "All 0", "All 0", "All 0", "No 0", "No 0", "No 0", "Some 0", "Some 0", "Some 0")),
.Names = c("product_id", "Date", "Revenue", "Value", "NewColumn"),
class = "data.frame", row.names = c(NA, -12L))
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在基础R中,您可以创建自定义函数,然后用于ave在每个组中进行计算:
f <- function(x) if(all(x)) 3 else if(any(x)) 2 else 1
c("None","Some","All")[with(dat, ave(Value==0, list(product_id,Revenue), FUN=f))]
# [1] "Some" "Some" "Some" "All" "All" "All" "None" "None" "None" "Some"
#[11] "Some" "Some"
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