r - max 没有非缺失参数；使用 mutate 返回 -inf 错误

Question

我有如下 Shiny 应用程序代码所示的数据。该数据是具有许多键的数据帧的过滤部分。

我填补 tsibble 空白的方式，在 Y 之间的 RSEXCL 列中有 N。我想这样做，如果值为“Y”的列向量（RSEXCL）的索引的最大值大于或等于向量的给定值的索引，则向量的值在那个位置将为“Y”，如果不是，则为“N”。

例如，如果我尝试在 Shiny 中创建一个反应性对象，如下所示，我会收到以下警告。

Warning: Problem with `mutate()` input `RSEXCL`.
ℹ no non-missing arguments to max; returning -Inf
ℹ Input `RSEXCL` is `ifelse(...)`.

这是给出错误/警告的示例闪亮代码。input$series 是一个 Key 列表，例如“My_Key”，用于过滤较大的 tsibble/data.frame，即 outlier.DT.file。编辑：该应用程序现在包含可能在较大数据集中看到的两种不同类型数据的示例。此外，ifelse()现在调整的代码会发出警告，但它会按预期执行。

library(shiny)
library(tidyverse)
library(tsibble)
library(feasts)
library(fable)
library(lubridate)

outlier.DT.file <- structure(list(Key = c("My_Key1", "My_Key1", "My_Key1", "My_Key1", 
"My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", 
"My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", 
"My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", 
"My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key1", 
"My_Key1", "My_Key1", "My_Key1", "My_Key1", "My_Key2", "My_Key2", 
"My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", 
"My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", 
"My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", 
"My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", 
"My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2", 
"My_Key2", "My_Key2", "My_Key2", "My_Key2", "My_Key2"), RSFMTH = structure(c(17897, 
17928, 17956, 17987, 18017, 18048, 18078, 18109, 18140, 18170, 
18201, 18231, 18262, 18293, 18322, 18353, 18383, 18414, 18444, 
18475, 18506, 18536, 18567, 18597, 18628, 18659, 18687, 18718, 
18748, 18779, 18809, 18840, 17744, 17775, 17805, 17836, 17866, 
17897, 17928, 17956, 17987, 18017, 18048, 18078, 18109, 18140, 
18170, 18201, 18231, 18262, 18293, 18322, 18353, 18383, 18414, 
18444, 18475, 18506, 18536, 18567, 18597, 18628, 18659, 18687, 
18718, 18748, 18779, 18809, 18840), class = "Date"), RSFQTY = c(288, 
108, 120, 84, 168, 48, 108, 144, 108, 108, 444, 300, 24, 108, 
132, 120, 156, 48, 84, 96, 144, 120, 144, 108, 120, 72, 108, 
108, 144, 156, 156, 168, 876, 0, 1668, 0, 2472, 13680, 4068, 
84, 6492, 732, 0, 0, 4968, 6456, 648, 1776, 0, 0, 432, 120, 756, 
156, 636, 12, 84, 36, 180, 456, 276, 108, 468, 180, 1044, 672, 
492, 972, 1392), RSOQTY = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 350, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
220, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0), RSEXCL = c("N", 
"N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", 
"N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", 
"N", "N", "N", "N", "N", "Y", "N", "Y", "N", "Y", "Y", "Y", "Y", 
"Y", "Y", "N", "N", "Y", "Y", "Y", "Y", "N", "N", "N", "N", "N", 
"N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", 
"N", "N", "N")), row.names = c(NA, -69L), key = structure(list(
    Key = c("My_Key1", "My_Key2"), .rows = structure(list(1:32, 
        33:69), ptype = integer(0), class = c("vctrs_list_of", 
    "vctrs_vctr", "list"))), row.names = c(NA, -2L), class = c("tbl_df", 
"tbl", "data.frame"), .drop = TRUE), index = structure("RSFMTH", ordered = TRUE), index2 = "RSFMTH", interval = structure(list(
    year = 0, quarter = 0, month = 0, week = 0, day = 1, hour = 0, 
    minute = 0, second = 0, millisecond = 0, microsecond = 0, 
    nanosecond = 0, unit = 0), .regular = TRUE, class = c("interval", 
"vctrs_rcrd", "vctrs_vctr")), class = c("tbl_ts", "tbl_df", "tbl", 
"data.frame"))

ui <- fluidPage(
    selectInput("series", "Select SKU:", choices = unique(outlier.DT.file$Key)),
    
    tableOutput("table")
)

server <- function(input, output, session){
    my.table <- reactive({
        req(input$series)
        outlier.DT.file %>% filter(Key == input$series) %>% mutate(RSEXCL = ifelse('Y' %in% RSEXCL & max(which(RSEXCL == 'Y')) >= which(RSEXCL == 'Y'|RSEXCL == 'N'), "Y", "N"))
        
    })
   output$table <- renderTable({my.table()})
    
}
shinyApp(ui = ui, server = server)

我也尝试过case_when()如下使用，但仍然收到上面指示的警告，尽管代码确实按预期工作。

mutate(RSEXCL = case_when('Y' %in% RSEXCL & max(which(RSEXCL == 'Y')) >= which(RSEXCL == 'Y'|RSEXCL == 'N') ~ "Y",
                                         !('Y' %in% RSEXCL) ~ "N",
                                         'Y' %in% RSEXCL & max(which(RSEXCL == 'Y')) < which(RSEXCL == 'Y'|RSEXCL == 'N') ~ "N"))

标签： rdplyrshinyfable-rtsibble