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Ceci est lié à un autre post que j'ai, concernant l'ajout d'un nouveau fluidRow (conteringing plot + selectInput) dans mon application shinyDashboard.Erreur dans if (inline) {: l'argument n'est pas interprétable comme logique
Quand je lance le code ci-dessous, je reçois ce qui suit
Error in if (inline) { : argument is not interpretable as logical
J'ai essayé de bricoler avec la façon dont le code est écrit, par exemple enlever les virgules, mais je n'ai pas été en mesure de trouver un moyen de se débarrasser de l'erreur. De plus, je pense que c'est l'une des causes de ne pas pouvoir générer un fluide supplémentaire. J'ai l'impression qu'il a quelque chose à voir avec mes contrôles d'entrée, mais aucune idée de quoi!
Toute aide serait appréciée.
ui.r
ui <- dashboardPage(
skin = "red",
dashboardHeader(title = "iReport",
titleWidth = 500),
dashboardSidebar(),
dashboardBody(
tabItems(
# Tab for Dashboard
tabItem(tabName = "Dashboard"),
# Tab for Survey Analytics
tabItem(tabName = "Survey"),
#Tab for Enquiry Analytics
tabItem(tabName = "Enquiries"),
#Tab for Web Analytics
tabItem(tabName = "Metrics"),
#Tab for Twitter Analytics
tabItem(tabName = "Twitter")
),
# Row 1 objects
fluidRow(
# Value boxes
valueBox(
479,
"Total No. of Enquiries",
color = "green",
icon = icon("commenting")
),
valueBox(
1.7,
"Average response time",
color = "blue",
icon = icon("exchange")
),
valueBox(
"98%",
"Percentage satisfied customers",
color = "orange",
icon = icon("thumbs-up")
)
),
# Row 2 objects
fluidRow(box(
width = 12, plotlyOutput("Time_Ser", height = "400px")
)),
# Row 3 objects
fluidRow(
# Data visualisations 1
box(width = 5, plotlyOutput("Enq_Num", height = "500px")),
box(
width = 2,
h2("Control panel"),
dateRangeInput(
"date",
"Date:",
label = h4("Choose a time frame"),
start = "2017-05-02",
end = "2017-07-30",
min = "2017-05-02",
max = "2017-06-30",
startview = "2017-06-30"
),
selectInput(
"select",
"Select",
label = h4("Select a month"),
choices = c("May", "June")
),
radioButtons(
"area",
"Area",
label = h4("Response Time by Team"),
choices = list("PEU", "DAU", "MSU", "PRO", "MISC"),
selected = "PEU"
)),
box(width = 5, plotlyOutput("Response", height = "500px"))),
#Row 4 Objects
fluidRow(# Data visualisations 2
box(width = 5, plotlyOutput("Enq_Outcome")),
box(
width = 2,
selectInput(
"outcome",
"Outcome",
label = h4("Enquiry outcomes by output area"),
choices = list("Link", "Clarified", "CM", "Unavailable", "Referred")
)))))
server.r
server <- function(input, output) {
# Reactive date input for Tim_Ser
Time2 <- Time
reactiveTime <- reactive({
Time2 %>% filter(Date.received >= input$date[1] &
Date.received < input$date[2])})
# DATA
Numbers <-
data.frame(
May = c(73, 26, 23, 10, 23),
June = c(144, 28, 21, 20, 33),
areas = c("PEU", "MIG", "DAU", "MISC", "PRO")
)
Time <- CusTible %>% group_by(Date.received) %>% tally(sort = TRUE)
Time = Time[order(Time$Date.received), ]
Respond <-
data.frame(
DAU = c(32, 14, 8),
MIG = c(51, 7, 4),
MISC = c(42, 41, 3),
PEU = c(135, 16, 18),
PRO = c(32, 15, 2),
Days = c("1-2 Days", "3-4 Days", "5+ Days")
)
rownames(Respond) <- c("1-2 Days", "3-4 Days", "5+ Days")
Outcome <-
data.frame(
Area = c("DAU", "PEU", "PRO", "MSU", "MISC"),
CLAR = c(5, 23, 2, 2, 13),
LINK = c(45, 4, 23, 24, 18),
UNAV = c(1, 13, 15, 11, 12),
CM = c(8, 15, 3, 10, 2),
REF = c(26, 24, 11, 7, 12)
)
# OUTPUTS
output$Time_Ser <- renderPlotly({
Time_Ser <-
plot_ly(reactiveTime(),
x = Date.received,
y = n,
mode = "lines") %>%
layout(title = "Q3. Enquiries over Time")
})
output$Enq_Num <- renderPlotly({
selector <- switch(input$select,
"May" = Numbers$May,
"June" = Numbers$June)
Enq_Num <- plot_ly(
Numbers,
x = areas,
y = selector,
type = "bar",
color = areas
) %>%
layout(
title = "Q3. Enquiries by Output Team by Month",
xaxis = list(title = "Output Team", showgrid = F),
yaxis = list(title = "No. Enquiries")
)
})
output$Response <- renderPlotly({
if (is.null(input$area))
return()
area.select <- switch(
input$area,
"PEU" = Respond$PEU,
"DAU" = Respond$DAU,
"MSU" = Respond$MIG,
"PRO" = Respond$PRO,
"MISC" = Respond$MISC
)
Response <- plot_ly(
Respond,
labels = Days,
values = area.select,
type = "pie",
rotation = 180,
direction = "clockwise",
hole = 0.6
) %>%
layout(title = "Q3. Response Time")
})
output$Enq_Outcome <- renderPlotly({
enq.outcome <- switch(
input$outcome,
"Clarified" = Outcome$CLAR,
"Link" = Outcome$LINK,
"CM" = Outcome$CM,
"Unavailable" = Outcome$UNAV,
"Referred" = Outcome$REF
)
Enq_Outcome <- renderPlotly(
Outcome,
y = Area,
x = enq.outcome,
type = "bar",
colour = Area
)
})
}
shinyApp(ui, server)