R 尺寸(X)必须具有正长度(总和)
我正在运行包含一个循环的以下代码部分:R 尺寸(X)必须具有正长度(总和),r,cumulative-sum,R,Cumulative Sum,我正在运行包含一个循环的以下代码部分: i <- 1 #defined as 1 earlier in the code CancCheck <- data.frame() #Blank data frame for (i in 1:iForeper+1) { CancCheck[i,1]<-i-1 CancCheck[i,2]<- sum(CancNP[CancNP[,7]==i-1,4]) # aggregate all rooms with same can
i <- 1 #defined as 1 earlier in the code
CancCheck <- data.frame() #Blank data frame
for (i in 1:iForeper+1) {
CancCheck[i,1]<-i-1
CancCheck[i,2]<- sum(CancNP[CancNP[,7]==i-1,4]) # aggregate all rooms with same cancellation window
}
CancCheck[,3]<- apply(CancCheck[,2],2,cumsum)
该函数应计算
矩阵的列。我不清楚它对暗x的定义是什么,它不是正的
以下是CancCheck和CancNP的dput:
iForeper <- 200
坎坎普
> dput(head(CancNP,20))
structure(list(bookingdata.Cancellation.Date = structure(c(16036,
16036, 16036, 16036, 16036, 16031, 16031, 16031, 16031, 16031,
16031, 16031, 16031, 15986, 15986, 15986, 15986, 15986, 15986,
15986), class = "Date"), bookingdata.Arrival.Date = structure(c(16070,
16068, 16058, 16052, 16049, 16052, 16049, 16043, 16039, 16038,
16037, 16036, 16033, 16022, 16021, 16007, 16002, 16016, 16006,
16003), class = "Date"), bookingdata.Creation.Date = structure(c(16027,
16027, 16027, 16027, 16027, 16028, 16028, 16028, 16028, 16028,
16028, 16028, 16028, 15986, 15986, 15986, 15986, 15986, 15986,
15986), class = "Date"), bookingdata.Room.nights = c(37L, 37L,
37L, 37L, 37L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 31L, 31L,
31L, 31L, 31L, 31L, 31L), CFBMD = c(0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), FBWRMD = structure(c(-1,
-3, -13, -19, -22, -19, -22, -28, -32, -33, -34, -35, -38, -49,
-50, -64, -69, -55, -65, -68), class = "difftime", units = "days"),
V7 = structure(c(34, 32, 22, 16, 13, 21, 18, 12, 8, 7, 6,
5, 2, 36, 35, 21, 16, 30, 20, 17), class = "difftime", units = "days")), .Names = c("bookingdata.Cancellation.Date",
"bookingdata.Arrival.Date", "bookingdata.Creation.Date", "bookingdata.Room.nights",
"CFBMD", "FBWRMD", "V7"), row.names = c(202L, 203L, 204L, 205L,
206L, 257L, 258L, 259L, 260L, 261L, 262L, 263L, 264L, 313L, 314L,
315L, 316L, 317L, 318L, 319L), class = "data.frame")
提前感谢。为我延迟回复向那些有帮助的回复者道歉;这个问题现在已经解决了 目的是让CanCheck CanCheck[,3]的第3列产生第2列CanCheck[,2]中的值的累积和。CancCheck的第一行包含NA值,禁止函数工作-因此需要删除它
使用CancCheck=CancCheck[-1],删除了包含NA的第一行,留下了所需的填充行。正如用户etienne之前提到的,CancCheck[,3]为什么不只是CancCheck[,3]CancCheck[,2]实际上是一个向量,所以你不能取他的维度,它是空的。如果你能给我们第三列的dputCanCheck和你的预期输出,那就太好了。嗨etienne。我之前尝试过CumSumcanCheck[,2],我理解这是合适的,因为它是一个向量,它返回了第三列,但是完全填充了NA值。那么请给我们dputcanCheck和dputCancNP以及iForeper的值
>dput(head(CancCheck,20))
structure(list(V1 = c(NA, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19), V2 = c(NA, 1077L, 1713L, 2631L,
3204L, 3697L, 3802L, 3789L, 3784L, 3554L, 3170L, 3059L, 2989L,
2919L, 2676L, 2608L, 2281L, 2340L, 2164L, 2137L), V3 = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_)), .Names = c("V1",
"V2", "V3"), row.names = c(NA, 20L), class = "data.frame")
> dput(head(CancNP,20))
structure(list(bookingdata.Cancellation.Date = structure(c(16036,
16036, 16036, 16036, 16036, 16031, 16031, 16031, 16031, 16031,
16031, 16031, 16031, 15986, 15986, 15986, 15986, 15986, 15986,
15986), class = "Date"), bookingdata.Arrival.Date = structure(c(16070,
16068, 16058, 16052, 16049, 16052, 16049, 16043, 16039, 16038,
16037, 16036, 16033, 16022, 16021, 16007, 16002, 16016, 16006,
16003), class = "Date"), bookingdata.Creation.Date = structure(c(16027,
16027, 16027, 16027, 16027, 16028, 16028, 16028, 16028, 16028,
16028, 16028, 16028, 15986, 15986, 15986, 15986, 15986, 15986,
15986), class = "Date"), bookingdata.Room.nights = c(37L, 37L,
37L, 37L, 37L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 31L, 31L,
31L, 31L, 31L, 31L, 31L), CFBMD = c(0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), FBWRMD = structure(c(-1,
-3, -13, -19, -22, -19, -22, -28, -32, -33, -34, -35, -38, -49,
-50, -64, -69, -55, -65, -68), class = "difftime", units = "days"),
V7 = structure(c(34, 32, 22, 16, 13, 21, 18, 12, 8, 7, 6,
5, 2, 36, 35, 21, 16, 30, 20, 17), class = "difftime", units = "days")), .Names = c("bookingdata.Cancellation.Date",
"bookingdata.Arrival.Date", "bookingdata.Creation.Date", "bookingdata.Room.nights",
"CFBMD", "FBWRMD", "V7"), row.names = c(202L, 203L, 204L, 205L,
206L, 257L, 258L, 259L, 260L, 261L, 262L, 263L, 264L, 313L, 314L,
315L, 316L, 317L, 318L, 319L), class = "data.frame")
i <- 1 #defined as 1 earlier in the code
CancCheck <- data.frame()
for (i in 1:iForeper+1) {
CancCheck[i,1]<-i-1
CancCheck[i,2]<- sum(CancNP[CancNP[,7]==i-1,4]) # % aggregate all rooms with same cancellation window
}
CancCheck = CancCheck[-1,] #Removes first row, containing NA values
CancCheck[,3] <- cumsum(CancCheck[,2]) #Cumulative Density`
> head(CancCheck)
V1 V2 V3
2 1 1077 1077
3 2 1713 2790
4 3 2631 5421
5 4 3204 8625
6 5 3697 12322
7 6 3802 16124