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I've written code that runs perfectly in R Studio (3.4.3). I copied the code over into a Spotfire project (TERR) and it ran fine once or twice, but now bombs with the "Invalid subscript type 'list'" error. I have identified it coming from the line below in the apply function.

minGT <- as.numeric(rownames(resultGT)[apply(resultGT , 2, which.min)])

I've spent several days trying potential solutions found on SO and other places to no avail. Below is some of the code block, reduced for perusing:

###Code revised previously after SO (@Parfait) assistance - different problem##
library(plyr)

DS <- DirectionalSurveys[, c("IDWELL", "API", "WELL NAME", "DIVISON", "MD", "INCL", "AZIM", "NS", "EW", "TVD", "DLS", "Northing", "Easting")]
Perf <- Perforation[, c("IDWELL", "Well API Number", "Well Name", "County", "Mid Perf MD", "Mid Perf TVD")]
colnames(DS) <- c("IDWELL", "API", "WellName", "Division", "MD", "INCL", "AZIM", "NS", "EW", "TVD", "DLS", "Northing", "Easting")
colnames(Perf) <- c("IDWELL", "API", "WellName", "County", "MidPerfMD", "MidPerfTVD")

df_lists <- lapply(seq_along(WellName), function(i) {

    S <- DS$MD[DS$WellName == WellName[i]]
    P <- Perf$MidPerfMD[Perf$WellName == WellName[i]]

    resultGT <- outer(S, P, '>=')
    resultGT[resultGT == FALSE] <- 50
    rownames(resultGT) <- paste0(S)
    colnames(resultGT) <- paste0(P)

#This is the line that throws the error - specifically the `apply` function

    minGT <- as.numeric(rownames(resultGT))[apply(resultGT , 2, which.min)]

#Calculations begin below after some additional subsetting (not shown)
    deep <- S[match(minGT, S)]
    shallow <- S[match(minGT, S) - 1]
#............etc.
#Remainder of code removed to prevent recipient boredom....

I'd really appreciate some (more) help - @Parfait has already helped me get the entire code running previously, so thanks in advance for any additional assistance. I can provide a data set and full coding as necessary.

Here is the error message in its entirety: Error message generated

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1 回答 1

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在 Tibco 社区网站上的 DougJ 的帮助下，我能够获得解决问题的方法。下面是 DougJ 为确定问题根源而执行的测试集，data.frame(P)其中包含空单元格 - 请注意，data.frame(P)每次迭代包含大约 120 行，而每次迭代data.frame(S)包含超过 300 行。我对数据框大小差异的解决方案是resultGT <- outer(S, P, ">=")带有后续语句的语句minGT <- rownames(resultGT)[apply(resultGT, 2, which.min)]，用于为“P”的每个单独值找到“S”的最小值。这在 RStudio 中完美运行，但在 Spotfire 中使用 TERR 引发了错误。

#Test case below as performed by DougJ (Tibco Community) that identified problem area.
> xNA <- c(1:2, NA, 3:4)
> yNA <- c(3:5, NA, 6)
> 
> xNA
[1]  1  2 NA  3  4
> 
> yNA
[1]  3  4  5 NA  6
> 
> resultGT <- outer( xNA, yNA, ">=" )
> 
> resultGT[resultGT == FALSE] <- 50
> 
> rownames( resultGT ) <- paste0(xNA)
> colnames( resultGT ) <- paste0(yNA)
> 
> resultGT
  3  4  5 NA  6
1  50 50 50 NA 50
2  50 50 50 NA 50
NA NA NA NA NA NA
3   1 50 50 NA 50
4   1  1 50 NA 50
> 
> 
> apply(resultGT, 2, which.min)
$`3`
3 
4 

$`4`
4 
5 

$`5`
1 
1 

$`NA`
integer(0)

$`6`
1 
1 

> class( apply(resultGT, 2, which.min) )
[1] "list"
> 
> 
> as.numeric(rownames(resultGT))
[1]  1  2 NA  3  4
Warning message:
NAs introduced by coercion 
> 
> as.numeric(rownames(resultGT))[ apply(resultGT, 2, which.min) ]
Error in as.numeric(rownames(resultGT))[apply(resultGT, 2, which.min)] : 
  invalid subscript type 'list'
In addition: Warning message:
NAs introduced by coercion 
>

下面是 DougJ 作为解决方案开发的最终代码：

#original code:
minGT <- rownames(resultGT)[apply(resultGT , 2, which.min)]

#new code (with slight modification):
minGT <- rownames(resultGT)[apply(resultGT, 2, function(X) {tmp <- which.min(X); ifelse(length(tmp), tmp, NA)} )]

现在可以在 Spotfire 中使用 TERR。感谢DougJ，如果你在SO！

于 2018-05-18T13:46:16.040 回答