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对时间序列R中的零进行最后一次观测

[英]Using last observation for zero in time series R

I am taking input as 我正在输入

               Quant1       Quant2
2013-01-23      400         200
2013-01-22        0         0
2013-01-21        0         0
2013-01-20      125         100
2013-01-18      120         0

And output am trying to get is 而输出试图获得的是

               Quant1       Quant2
2013-01-23      400         200
2013-01-22      125         100
2013-01-21      125         100
2013-01-20      125         100
2013-01-18      120         0

according to this question I am trying to get output but result is not as per requirement 根据这个问题,我试图获得输出,但结果不符合要求

z <- structure(c(400L, 0L, 0L, 125L, 120L, 200L, 0L, 0L, 100L, 
0L), .Dim = c(5L, 2L), .Dimnames = list(NULL, c("Quant1", "Quant2"
)), index = structure(c(15728, 15727, 15726, 15725, 15723), class = "Date"), 
class = "zoo")

L <- rowSums(z != 0) > 0
z[] <- coredata(z)[which(L)[cumsum(L)],]
z
           Quant1 Quant2
2013-01-23    400    200
2013-01-22      0      0
2013-01-21      0      0
2013-01-20      0      0
2013-01-18    120      0

It seems you are struggling with zero entries. 看来您正在为零条目而苦苦挣扎。 Why not use NA ? 为什么不使用NA If my assumption is correct, na.locf is the function you need. 如果我的假设正确, na.locf是您需要的功能。

coredata(z)[coredata(z) == 0] <- NA
na.locf(z, fromLast = T)

           Quant1 Quant2
2013-01-18    120     NA
2013-01-20    125    100
2013-01-21    125    100
2013-01-22    125    100
2013-01-23    400    200

If you really need 0 instead of NA , substitute it back after na.locf . 如果确实需要0而不是NA ,则将其替换为na.locf

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