Error in func(fname, …) : app.R did not return a shiny.appobj object

I’m trying to deploy a shiny app that summarizes the data of my athletes during a rugby season. So I’ve a lot of data from different “.xls files” and I use reactive function (of the name, and the date) to create interactive visualizations. When I launch my app into Rstudio it works well. However when I try to deploy it through shinyapps.io I deal with this error message in my console : “Error in func(fname, …) : app.R did not return a shiny.appobj object”. What’s more on the shiny app web page, I see “An error has occured” and “Exit status 1”.

So here’s a piece of my code (too long to copy entirely sorry):
The opening of my files

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<code># CHARGEMENT DES PAQUETS ET OUVERTURE FICHIERS ----
setwd("C:/Users/La Machine/Documents/DU DATAS/RCN/SHINY APP")
library(tidyverse)
library(data.table)
library(ggplot2)
library(ggpubr)
library(lubridate)
library(readxl)
library(gridExtra)
library(DT)
library(shiny)
library(gtExtras)
library(ggtext)
library(geomtextpath)
library(slider)
library(plotly)
library(rsconnect)
library(quarto)
Data_GPS <- read_excel("Data GPS BI.xlsx")
Data_GPS$Date <- as.Date(Data_GPS$Date, format = "%d-%m-%Y")
Donnees_mvt_perf <- read_excel("Profilage RCN 2023.2024.xlsx",
sheet = "Mvts Perf.", range = "A2:J51")
Donnees_profilage <- read_excel("Profilage RCN 2023.2024.xlsx",
sheet = "Profilage", skip = 1)
Donnees_taux_athlé <- read_excel("Profilage RCN 2023.2024.xlsx",
sheet = "Taux Athlétisation", skip = 1)
traitement_CDE_LONG <- read_excel("Charge de travail 2324.xlsx",
sheet = "Total charge", skip = 4)
Data_monitoring <- read_excel("Suivi Monitoring 20232024.xlsx",
sheet = "Wellnes_destiné_codage", skip = 2)
Data_monitoring_poids <- read_excel("Suivi Monitoring 20232024.xlsx",
sheet = "Poids", skip = 2)
</code>
<code># CHARGEMENT DES PAQUETS ET OUVERTURE FICHIERS ---- setwd("C:/Users/La Machine/Documents/DU DATAS/RCN/SHINY APP") library(tidyverse) library(data.table) library(ggplot2) library(ggpubr) library(lubridate) library(readxl) library(gridExtra) library(DT) library(shiny) library(gtExtras) library(ggtext) library(geomtextpath) library(slider) library(plotly) library(rsconnect) library(quarto) Data_GPS <- read_excel("Data GPS BI.xlsx") Data_GPS$Date <- as.Date(Data_GPS$Date, format = "%d-%m-%Y") Donnees_mvt_perf <- read_excel("Profilage RCN 2023.2024.xlsx", sheet = "Mvts Perf.", range = "A2:J51") Donnees_profilage <- read_excel("Profilage RCN 2023.2024.xlsx", sheet = "Profilage", skip = 1) Donnees_taux_athlé <- read_excel("Profilage RCN 2023.2024.xlsx", sheet = "Taux Athlétisation", skip = 1) traitement_CDE_LONG <- read_excel("Charge de travail 2324.xlsx", sheet = "Total charge", skip = 4) Data_monitoring <- read_excel("Suivi Monitoring 20232024.xlsx", sheet = "Wellnes_destiné_codage", skip = 2) Data_monitoring_poids <- read_excel("Suivi Monitoring 20232024.xlsx", sheet = "Poids", skip = 2) </code>
# CHARGEMENT DES PAQUETS ET OUVERTURE FICHIERS ----
setwd("C:/Users/La Machine/Documents/DU DATAS/RCN/SHINY APP")

library(tidyverse)
library(data.table)
library(ggplot2)
library(ggpubr)
library(lubridate)
library(readxl)
library(gridExtra)
library(DT)
library(shiny)
library(gtExtras)
library(ggtext)
library(geomtextpath)
library(slider)
library(plotly)
library(rsconnect)
library(quarto)



Data_GPS <- read_excel("Data GPS BI.xlsx")

Data_GPS$Date <- as.Date(Data_GPS$Date, format = "%d-%m-%Y")

Donnees_mvt_perf <- read_excel("Profilage RCN 2023.2024.xlsx",
                               sheet = "Mvts Perf.", range = "A2:J51")

Donnees_profilage <- read_excel("Profilage RCN 2023.2024.xlsx",
                                sheet = "Profilage", skip = 1)

Donnees_taux_athlé <- read_excel("Profilage RCN 2023.2024.xlsx",
                                 sheet = "Taux Athlétisation", skip = 1)

traitement_CDE_LONG <- read_excel("Charge de travail 2324.xlsx",
                                  sheet = "Total charge", skip = 4)

Data_monitoring <- read_excel("Suivi Monitoring 20232024.xlsx",
                              sheet = "Wellnes_destiné_codage", skip = 2)

Data_monitoring_poids <- read_excel("Suivi Monitoring 20232024.xlsx",
                                    sheet = "Poids", skip = 2)

The app shiny part :

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<code>ui <- fluidPage(
titlePanel("RCN Dashboard Visualisation"),
sidebarLayout(
sidebarPanel(
h1("JOUEURS"),
helpText("Sélectionnez un JOUEUR et/ou une PERIODE"),
selectInput(
inputId = "Nom",
label = "Nom :",
choices = traitement_CDE_LONG |>
pull(Nom) |>
factor() |>
levels()
),
sliderInput(
inputId = "semaine",
label = "Semaine :",
min = min(Data_GPS_vaccin$Semaine, na.rm = TRUE),
max = max(Data_GPS_vaccin$Semaine, na.rm = TRUE),
value = c(min(Data_GPS_vaccin$Semaine, na.rm = TRUE), max(Data_GPS_vaccin$Semaine, na.rm = TRUE))
),
sliderInput(
inputId = "periode",
label = "Période :",
min = min(traitement_CDE_LONG$Date),
max = max(traitement_CDE_LONG$Date),
value = c(min(traitement_CDE_LONG$Date), max(traitement_CDE_LONG$Date))
)
),
mainPanel(
"Visualisation des données",
h1(textOutput("selected_nom")),
tabsetPanel(tabPanel("Métriques volume - GPS",
fluidRow(plotly::plotlyOutput("graphique_1")),
fluidRow(plotly::plotlyOutput("graphique_2")),
fluidRow(plotly::plotlyOutput("graphique_3"))),
tabPanel(("Métriques intensité - GPS"),
fluidRow(
column(width = 6, plotly::plotlyOutput("graphique_4"),
plotly::plotlyOutput("graphique_5")),
column(width = 6,
gt_output("table_1")))),
tabPanel("Vaccin sprint",
fluidRow(plotly::plotlyOutput("graphique_6"))),
tabPanel("Données musculation",
fluidRow(column(width = 3, plotlyOutput("graphique_7", width = "100%", height = "215px"),
plotlyOutput("graphique_11", width = "100%", height = "215px")),
column(width = 3, plotlyOutput("graphique_8", width = "100%", height = "215px"),
plotlyOutput("graphique_12", width = "100%", height = "215px")),
column(width = 3, plotlyOutput("graphique_9", width = "100%", height = "215px"),
plotlyOutput("graphique_13", width = "100%", height = "215px")),
column(width = 3, plotlyOutput("graphique_10", width = "100%", height = "215px"),
plotlyOutput("graphique_14", width = "100%", height = "215px"))),
fluidRow(
column(width = 6, gt_output("table_2")),
column(width = 6,
plotOutput("graphique_15", height = "300px"),
plotlyOutput("graphique_16", width = "80%", height = "255px")))),
tabPanel("Données Charge d'entrainement",
fluidRow(plotlyOutput("graphique_17"))),
tabPanel("Données Wellness",
plotlyOutput("graphique_18"),
fluidRow(column(width = 8, plotlyOutput("graphique_19")),
column(width = 4, plotlyOutput("graphique_20"))))
)
)
)
)
server <- function(input, output) {
output$selected_nom <- renderText({
paste("Visualisation de ", input$Nom)
})
Data_GPS_G1_filtre <- reactive({
Data_GPS_G1 |>
filter(Nom == input$Nom) |>
filter(Date >= input$periode[1] & Date <= input$periode[2])
})
Data_GPS_G2_filtre <- reactive({
Data_GPS_Nb_Accel |>
filter(Nom == input$Nom) |>
filter(Date >= input$periode[1] & Date <= input$periode[2])
})
[...]
}
shinyApp(ui = ui, server = server)
rsconnect::deployApp('C:\Users\La Machine\Documents\DU DATAS\RCN\SHINY APP')
</code>
<code>ui <- fluidPage( titlePanel("RCN Dashboard Visualisation"), sidebarLayout( sidebarPanel( h1("JOUEURS"), helpText("Sélectionnez un JOUEUR et/ou une PERIODE"), selectInput( inputId = "Nom", label = "Nom :", choices = traitement_CDE_LONG |> pull(Nom) |> factor() |> levels() ), sliderInput( inputId = "semaine", label = "Semaine :", min = min(Data_GPS_vaccin$Semaine, na.rm = TRUE), max = max(Data_GPS_vaccin$Semaine, na.rm = TRUE), value = c(min(Data_GPS_vaccin$Semaine, na.rm = TRUE), max(Data_GPS_vaccin$Semaine, na.rm = TRUE)) ), sliderInput( inputId = "periode", label = "Période :", min = min(traitement_CDE_LONG$Date), max = max(traitement_CDE_LONG$Date), value = c(min(traitement_CDE_LONG$Date), max(traitement_CDE_LONG$Date)) ) ), mainPanel( "Visualisation des données", h1(textOutput("selected_nom")), tabsetPanel(tabPanel("Métriques volume - GPS", fluidRow(plotly::plotlyOutput("graphique_1")), fluidRow(plotly::plotlyOutput("graphique_2")), fluidRow(plotly::plotlyOutput("graphique_3"))), tabPanel(("Métriques intensité - GPS"), fluidRow( column(width = 6, plotly::plotlyOutput("graphique_4"), plotly::plotlyOutput("graphique_5")), column(width = 6, gt_output("table_1")))), tabPanel("Vaccin sprint", fluidRow(plotly::plotlyOutput("graphique_6"))), tabPanel("Données musculation", fluidRow(column(width = 3, plotlyOutput("graphique_7", width = "100%", height = "215px"), plotlyOutput("graphique_11", width = "100%", height = "215px")), column(width = 3, plotlyOutput("graphique_8", width = "100%", height = "215px"), plotlyOutput("graphique_12", width = "100%", height = "215px")), column(width = 3, plotlyOutput("graphique_9", width = "100%", height = "215px"), plotlyOutput("graphique_13", width = "100%", height = "215px")), column(width = 3, plotlyOutput("graphique_10", width = "100%", height = "215px"), plotlyOutput("graphique_14", width = "100%", height = "215px"))), fluidRow( column(width = 6, gt_output("table_2")), column(width = 6, plotOutput("graphique_15", height = "300px"), plotlyOutput("graphique_16", width = "80%", height = "255px")))), tabPanel("Données Charge d'entrainement", fluidRow(plotlyOutput("graphique_17"))), tabPanel("Données Wellness", plotlyOutput("graphique_18"), fluidRow(column(width = 8, plotlyOutput("graphique_19")), column(width = 4, plotlyOutput("graphique_20")))) ) ) ) ) server <- function(input, output) { output$selected_nom <- renderText({ paste("Visualisation de ", input$Nom) }) Data_GPS_G1_filtre <- reactive({ Data_GPS_G1 |> filter(Nom == input$Nom) |> filter(Date >= input$periode[1] & Date <= input$periode[2]) }) Data_GPS_G2_filtre <- reactive({ Data_GPS_Nb_Accel |> filter(Nom == input$Nom) |> filter(Date >= input$periode[1] & Date <= input$periode[2]) }) [...] } shinyApp(ui = ui, server = server) rsconnect::deployApp('C:\Users\La Machine\Documents\DU DATAS\RCN\SHINY APP') </code>
ui <- fluidPage(
  titlePanel("RCN Dashboard Visualisation"),
  sidebarLayout(
    sidebarPanel(
      h1("JOUEURS"),
      helpText("Sélectionnez un JOUEUR et/ou une PERIODE"),
      
      selectInput(
        inputId = "Nom",
        label = "Nom :",
        choices = traitement_CDE_LONG |>
          pull(Nom) |>
          factor() |>
          levels()
      ),
      sliderInput(
        inputId = "semaine",
        label = "Semaine :",
        min = min(Data_GPS_vaccin$Semaine, na.rm = TRUE),
        max = max(Data_GPS_vaccin$Semaine, na.rm = TRUE),
        value = c(min(Data_GPS_vaccin$Semaine, na.rm = TRUE), max(Data_GPS_vaccin$Semaine, na.rm = TRUE))
      ),
      sliderInput(
        inputId = "periode",
        label = "Période :",
        min = min(traitement_CDE_LONG$Date),
        max = max(traitement_CDE_LONG$Date),
        value = c(min(traitement_CDE_LONG$Date), max(traitement_CDE_LONG$Date))
      )
    ),
    
    mainPanel(
      "Visualisation des données",
      h1(textOutput("selected_nom")),
      tabsetPanel(tabPanel("Métriques volume - GPS",
                           fluidRow(plotly::plotlyOutput("graphique_1")),
                           fluidRow(plotly::plotlyOutput("graphique_2")),
                           fluidRow(plotly::plotlyOutput("graphique_3"))),
                  tabPanel(("Métriques intensité - GPS"),
                           fluidRow(
                             column(width = 6, plotly::plotlyOutput("graphique_4"),
                                    plotly::plotlyOutput("graphique_5")),
                             column(width = 6,
                                    gt_output("table_1")))),
                  tabPanel("Vaccin sprint",
                           fluidRow(plotly::plotlyOutput("graphique_6"))),
                  tabPanel("Données musculation",
                           fluidRow(column(width = 3, plotlyOutput("graphique_7", width = "100%", height = "215px"),
                                           plotlyOutput("graphique_11", width = "100%", height = "215px")),
                                    column(width = 3, plotlyOutput("graphique_8", width = "100%", height = "215px"),
                                           plotlyOutput("graphique_12", width = "100%", height = "215px")),
                                    column(width = 3, plotlyOutput("graphique_9", width = "100%", height = "215px"),
                                           plotlyOutput("graphique_13", width = "100%", height = "215px")),
                                    column(width = 3, plotlyOutput("graphique_10", width = "100%", height = "215px"),
                                           plotlyOutput("graphique_14", width = "100%", height = "215px"))),
                           fluidRow(
                             column(width = 6, gt_output("table_2")),
                             column(width = 6,
                                    plotOutput("graphique_15", height = "300px"),
                                    plotlyOutput("graphique_16", width = "80%", height = "255px")))),
                  tabPanel("Données Charge d'entrainement",
                           fluidRow(plotlyOutput("graphique_17"))),
                  tabPanel("Données Wellness",
                           plotlyOutput("graphique_18"),
                           fluidRow(column(width = 8, plotlyOutput("graphique_19")),
                                    column(width = 4, plotlyOutput("graphique_20"))))
                  
                  
      )
    )
  )
)

server <- function(input, output) {
  
  output$selected_nom <- renderText({
    paste("Visualisation de ", input$Nom)
  })
  
  Data_GPS_G1_filtre <- reactive({
    Data_GPS_G1 |>
      filter(Nom == input$Nom) |>
      filter(Date >= input$periode[1] & Date <= input$periode[2])
  })
  
  Data_GPS_G2_filtre <- reactive({
    Data_GPS_Nb_Accel |>
      filter(Nom == input$Nom) |>
      filter(Date >= input$periode[1] & Date <= input$periode[2])
  })

[...]

  
  
}


shinyApp(ui = ui, server = server)

rsconnect::deployApp('C:\Users\La Machine\Documents\DU DATAS\RCN\SHINY APP')

I didn’t find any solutions about this specific issue, but I saw that people that had the same problem 1) didn’t have all of the required files in the folder (which is not my case) and/or 2) didn’t have upload/install the needed packages (and I don’t know what packages I need if it’s my case…). Below is a dput of a filtered tibble to reproduce some data :

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<code>> dput(test_9)
structure(list(Nom = c("Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie",
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie"), Date = structure(c(19361,
19365, 19366, 19368, 19369, 19373, 19375, 19376, 19379, 19380,
19382, 19393, 19394, 19396, 19397, 19400, 19401, 19403, 19404,
19407, 19408, 19410, 19414, 19415, 19528, 19529, 19530, 19531,
19534, 19535, 19537, 19538, 19541, 19542, 19544, 19545, 19548,
19550, 19551, 19557, 19569, 19570, 19572, 19573, 19576, 19577,
19579, 19580, 19586, 19587, 19590, 19591, 19594, 19597, 19598,
19600, 19601, 19604, 19605, 19607, 19608, 19611, 19612, 19614,
19615, 19621, 19625, 19626, 19628, 19629, 19632, 19633, 19635,
19636, 19640, 19642, 19643, 19646, 19647, 19649, 19650, 19660,
19661, 19663, 19664, 19667, 19668, 19670, 19674, 19675, 19677,
19678, 19684, 19685, 19688, 19689, 19691, 19695, 19696, 19698,
19702, 19703, 19705, 19706, 19782, 19783, 19786, 19787, 19789,
19790, 19800, 19801, 19803, 19807, 19808, 19810, 19811, 19814,
19815, 19817, 19818, 19822, 19824, 19829, 19830, 19835, 19836,
19838), class = "Date"), Wellness = c(19, 21, 21, 19, 19, 20,
20, 20, 20, 20, 20, 25, 25, 25, 25, 25, 25, 20, 20, 20, 19, 20,
19, 18, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
7, 5, 20, 15, 15, 15, 15, 15, 15, 15, 20, 15, 13, 15, 20, 15,
15, 13, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 10, 12, 15, 17, 25, 25, 25, 20, 20,
20, 20, 17, 18, 19, 19, 21, 19, 19, 19, 19, 20, 20, 20, 20, 20,
20, 19, 21, 20, 20, 20, 20, 20, 20, 20, 20, 20, 17, 17, 17, 20,
17, 17, 17, 17, 17, 17, 17, 20, 17, 17), day = structure(c(4L,
1L, 2L, 4L, 5L, 2L, 4L, 5L, 1L, 2L, 4L, 1L, 2L, 4L, 5L, 1L, 2L,
4L, 5L, 1L, 2L, 4L, 1L, 2L, 3L, 4L, 5L, 6L, 2L, 3L, 5L, 6L, 2L,
3L, 5L, 6L, 2L, 4L, 5L, 4L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 5L,
6L, 2L, 3L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L,
5L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 3L, 5L, 6L, 2L, 3L, 5L, 6L,
2L, 3L, 5L, 6L, 2L, 3L, 5L, 2L, 3L, 5L, 6L, 5L, 6L, 2L, 3L, 5L,
2L, 3L, 5L, 2L, 3L, 5L, 6L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L,
2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 3L, 5L, 3L, 4L, 2L, 3L, 5L), levels = c("Sun",
"Mon", "Tue", "Wed", "Thu", "Fri", "Sat"), class = c("ordered",
"factor")), Moyenne_Wellness = c(19, 21, 21, 19, 19, 20, 19,
20, 20, 20, 20, 22, 22, 22, 22, 23, 23, 22, 22, 23, 23, 22, 22,
22, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 13,
10, 18, 15, 11, 15, 18, 15, 15, 15, 17, 15, 16, 15, 16, 14, 15,
16, 16, 14, 15, 16, 16, 14, 15, 14, 16, 14, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 13, 14, 15, 16, 18, 17, 18, 17, 18, 19,
20, 21, 21, 21, 20, 21, 19, 19, 19, 20, 19, 19, 20, 20, 20, 20,
19, 21, 20, 20, 20, 20, 20, 20, 20, 20, 20, 19, 19, 18, 20, 18,
18, 17, 18, 18, 17, 17, 20, 17, 17), SD_Wellness = c(NA, NA,
NA, 0, NA, 1, 1, 1, 1, 1, 1, 4, 3, 3, 4, 3, 3, 3, 4, 3, 3, 3,
3, 4, NA, NA, NA, NA, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 7, 4,
NA, 6, NA, 4, 0, 0, 0, 3, 0, 4, 0, 2, 1, 0, 4, 2, 1, 0, 4, 2,
1, 0, 1, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 0, 1, 11,
7, 6, 3, 8, 7, 5, 4, 4, 3, 1, 3, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1,
0, NA, NA, NA, NA, 1, 0, 0, 0, 1, 0, 2, 2, 2, 0, 2, 2, 0, 2,
2, 0, NA, 0, 0, 0), Z_Score_Wellness = c(NA, NA, NA, NaN, NA,
-0.71, 1.15, 0.71, -0.71, -0.58, 0.87, 0.71, 1.15, 1.15, 0.71,
0.58, 0.58, -0.58, -0.71, -1.15, -1.15, -0.58, -1.02, -0.99,
NA, NA, NA, NA, NA, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
-1.5, -0.71, 0.71, NA, 0.71, NA, -0.71, NaN, NaN, NaN, 1.15,
NaN, -0.83, NaN, 1.5, 0.58, NaN, -0.83, -0.5, 0.58, NaN, -0.28,
-0.5, 0.5, NaN, 0.58, -0.5, 0.5, NaN, NaN, NaN, NaN, NaN, NaN,
NaN, NaN, NaN, NaN, NaN, -1.15, -1.5, NaN, 1.5, 0.71, 1.13, 1.15,
1.06, 0.22, 0.15, 0, -0.91, -0.83, -0.73, -0.71, -0.1, -0.58,
0.22, 0, -0.78, 0.87, 1, 0.26, 0.58, 0.58, 0, NaN, NA, NA, NA,
NA, -0.71, NaN, NaN, NaN, -0.58, NaN, -1.15, -1.15, -0.71, NaN,
-0.58, -0.58, NaN, -0.5, -0.5, NaN, NA, NaN, NaN, NaN)), row.names = c(NA,
-128L), class = c("tbl_df", "tbl", "data.frame"))
</code>
<code>> dput(test_9) structure(list(Nom = c("Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie"), Date = structure(c(19361, 19365, 19366, 19368, 19369, 19373, 19375, 19376, 19379, 19380, 19382, 19393, 19394, 19396, 19397, 19400, 19401, 19403, 19404, 19407, 19408, 19410, 19414, 19415, 19528, 19529, 19530, 19531, 19534, 19535, 19537, 19538, 19541, 19542, 19544, 19545, 19548, 19550, 19551, 19557, 19569, 19570, 19572, 19573, 19576, 19577, 19579, 19580, 19586, 19587, 19590, 19591, 19594, 19597, 19598, 19600, 19601, 19604, 19605, 19607, 19608, 19611, 19612, 19614, 19615, 19621, 19625, 19626, 19628, 19629, 19632, 19633, 19635, 19636, 19640, 19642, 19643, 19646, 19647, 19649, 19650, 19660, 19661, 19663, 19664, 19667, 19668, 19670, 19674, 19675, 19677, 19678, 19684, 19685, 19688, 19689, 19691, 19695, 19696, 19698, 19702, 19703, 19705, 19706, 19782, 19783, 19786, 19787, 19789, 19790, 19800, 19801, 19803, 19807, 19808, 19810, 19811, 19814, 19815, 19817, 19818, 19822, 19824, 19829, 19830, 19835, 19836, 19838), class = "Date"), Wellness = c(19, 21, 21, 19, 19, 20, 20, 20, 20, 20, 20, 25, 25, 25, 25, 25, 25, 20, 20, 20, 19, 20, 19, 18, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 7, 5, 20, 15, 15, 15, 15, 15, 15, 15, 20, 15, 13, 15, 20, 15, 15, 13, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 10, 12, 15, 17, 25, 25, 25, 20, 20, 20, 20, 17, 18, 19, 19, 21, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 19, 21, 20, 20, 20, 20, 20, 20, 20, 20, 20, 17, 17, 17, 20, 17, 17, 17, 17, 17, 17, 17, 20, 17, 17), day = structure(c(4L, 1L, 2L, 4L, 5L, 2L, 4L, 5L, 1L, 2L, 4L, 1L, 2L, 4L, 5L, 1L, 2L, 4L, 5L, 1L, 2L, 4L, 1L, 2L, 3L, 4L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 4L, 5L, 4L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 5L, 6L, 2L, 3L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 5L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 2L, 3L, 5L, 6L, 5L, 6L, 2L, 3L, 5L, 2L, 3L, 5L, 2L, 3L, 5L, 6L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 3L, 5L, 3L, 4L, 2L, 3L, 5L), levels = c("Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"), class = c("ordered", "factor")), Moyenne_Wellness = c(19, 21, 21, 19, 19, 20, 19, 20, 20, 20, 20, 22, 22, 22, 22, 23, 23, 22, 22, 23, 23, 22, 22, 22, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 13, 10, 18, 15, 11, 15, 18, 15, 15, 15, 17, 15, 16, 15, 16, 14, 15, 16, 16, 14, 15, 16, 16, 14, 15, 14, 16, 14, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 13, 14, 15, 16, 18, 17, 18, 17, 18, 19, 20, 21, 21, 21, 20, 21, 19, 19, 19, 20, 19, 19, 20, 20, 20, 20, 19, 21, 20, 20, 20, 20, 20, 20, 20, 20, 20, 19, 19, 18, 20, 18, 18, 17, 18, 18, 17, 17, 20, 17, 17), SD_Wellness = c(NA, NA, NA, 0, NA, 1, 1, 1, 1, 1, 1, 4, 3, 3, 4, 3, 3, 3, 4, 3, 3, 3, 3, 4, NA, NA, NA, NA, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 7, 4, NA, 6, NA, 4, 0, 0, 0, 3, 0, 4, 0, 2, 1, 0, 4, 2, 1, 0, 4, 2, 1, 0, 1, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 0, 1, 11, 7, 6, 3, 8, 7, 5, 4, 4, 3, 1, 3, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 0, NA, NA, NA, NA, 1, 0, 0, 0, 1, 0, 2, 2, 2, 0, 2, 2, 0, 2, 2, 0, NA, 0, 0, 0), Z_Score_Wellness = c(NA, NA, NA, NaN, NA, -0.71, 1.15, 0.71, -0.71, -0.58, 0.87, 0.71, 1.15, 1.15, 0.71, 0.58, 0.58, -0.58, -0.71, -1.15, -1.15, -0.58, -1.02, -0.99, NA, NA, NA, NA, NA, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, -1.5, -0.71, 0.71, NA, 0.71, NA, -0.71, NaN, NaN, NaN, 1.15, NaN, -0.83, NaN, 1.5, 0.58, NaN, -0.83, -0.5, 0.58, NaN, -0.28, -0.5, 0.5, NaN, 0.58, -0.5, 0.5, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, -1.15, -1.5, NaN, 1.5, 0.71, 1.13, 1.15, 1.06, 0.22, 0.15, 0, -0.91, -0.83, -0.73, -0.71, -0.1, -0.58, 0.22, 0, -0.78, 0.87, 1, 0.26, 0.58, 0.58, 0, NaN, NA, NA, NA, NA, -0.71, NaN, NaN, NaN, -0.58, NaN, -1.15, -1.15, -0.71, NaN, -0.58, -0.58, NaN, -0.5, -0.5, NaN, NA, NaN, NaN, NaN)), row.names = c(NA, -128L), class = c("tbl_df", "tbl", "data.frame")) </code>
> dput(test_9)
structure(list(Nom = c("Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", "Abadie", 
"Abadie", "Abadie", "Abadie", "Abadie", "Abadie"), Date = structure(c(19361, 
19365, 19366, 19368, 19369, 19373, 19375, 19376, 19379, 19380, 
19382, 19393, 19394, 19396, 19397, 19400, 19401, 19403, 19404, 
19407, 19408, 19410, 19414, 19415, 19528, 19529, 19530, 19531, 
19534, 19535, 19537, 19538, 19541, 19542, 19544, 19545, 19548, 
19550, 19551, 19557, 19569, 19570, 19572, 19573, 19576, 19577, 
19579, 19580, 19586, 19587, 19590, 19591, 19594, 19597, 19598, 
19600, 19601, 19604, 19605, 19607, 19608, 19611, 19612, 19614, 
19615, 19621, 19625, 19626, 19628, 19629, 19632, 19633, 19635, 
19636, 19640, 19642, 19643, 19646, 19647, 19649, 19650, 19660, 
19661, 19663, 19664, 19667, 19668, 19670, 19674, 19675, 19677, 
19678, 19684, 19685, 19688, 19689, 19691, 19695, 19696, 19698, 
19702, 19703, 19705, 19706, 19782, 19783, 19786, 19787, 19789, 
19790, 19800, 19801, 19803, 19807, 19808, 19810, 19811, 19814, 
19815, 19817, 19818, 19822, 19824, 19829, 19830, 19835, 19836, 
19838), class = "Date"), Wellness = c(19, 21, 21, 19, 19, 20, 
20, 20, 20, 20, 20, 25, 25, 25, 25, 25, 25, 20, 20, 20, 19, 20, 
19, 18, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 
7, 5, 20, 15, 15, 15, 15, 15, 15, 15, 20, 15, 13, 15, 20, 15, 
15, 13, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 
15, 15, 15, 15, 15, 15, 15, 10, 12, 15, 17, 25, 25, 25, 20, 20, 
20, 20, 17, 18, 19, 19, 21, 19, 19, 19, 19, 20, 20, 20, 20, 20, 
20, 19, 21, 20, 20, 20, 20, 20, 20, 20, 20, 20, 17, 17, 17, 20, 
17, 17, 17, 17, 17, 17, 17, 20, 17, 17), day = structure(c(4L, 
1L, 2L, 4L, 5L, 2L, 4L, 5L, 1L, 2L, 4L, 1L, 2L, 4L, 5L, 1L, 2L, 
4L, 5L, 1L, 2L, 4L, 1L, 2L, 3L, 4L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 
3L, 5L, 6L, 2L, 4L, 5L, 4L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 5L, 
6L, 2L, 3L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 
5L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 
2L, 3L, 5L, 6L, 2L, 3L, 5L, 2L, 3L, 5L, 6L, 5L, 6L, 2L, 3L, 5L, 
2L, 3L, 5L, 2L, 3L, 5L, 6L, 5L, 6L, 2L, 3L, 5L, 6L, 2L, 3L, 5L, 
2L, 3L, 5L, 6L, 2L, 3L, 5L, 6L, 3L, 5L, 3L, 4L, 2L, 3L, 5L), levels = c("Sun", 
"Mon", "Tue", "Wed", "Thu", "Fri", "Sat"), class = c("ordered", 
"factor")), Moyenne_Wellness = c(19, 21, 21, 19, 19, 20, 19, 
20, 20, 20, 20, 22, 22, 22, 22, 23, 23, 22, 22, 23, 23, 22, 22, 
22, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 13, 
10, 18, 15, 11, 15, 18, 15, 15, 15, 17, 15, 16, 15, 16, 14, 15, 
16, 16, 14, 15, 16, 16, 14, 15, 14, 16, 14, 15, 15, 15, 15, 15, 
15, 15, 15, 15, 15, 15, 13, 14, 15, 16, 18, 17, 18, 17, 18, 19, 
20, 21, 21, 21, 20, 21, 19, 19, 19, 20, 19, 19, 20, 20, 20, 20, 
19, 21, 20, 20, 20, 20, 20, 20, 20, 20, 20, 19, 19, 18, 20, 18, 
18, 17, 18, 18, 17, 17, 20, 17, 17), SD_Wellness = c(NA, NA, 
NA, 0, NA, 1, 1, 1, 1, 1, 1, 4, 3, 3, 4, 3, 3, 3, 4, 3, 3, 3, 
3, 4, NA, NA, NA, NA, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 7, 4, 
NA, 6, NA, 4, 0, 0, 0, 3, 0, 4, 0, 2, 1, 0, 4, 2, 1, 0, 4, 2, 
1, 0, 1, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 0, 1, 11, 
7, 6, 3, 8, 7, 5, 4, 4, 3, 1, 3, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 
0, NA, NA, NA, NA, 1, 0, 0, 0, 1, 0, 2, 2, 2, 0, 2, 2, 0, 2, 
2, 0, NA, 0, 0, 0), Z_Score_Wellness = c(NA, NA, NA, NaN, NA, 
-0.71, 1.15, 0.71, -0.71, -0.58, 0.87, 0.71, 1.15, 1.15, 0.71, 
0.58, 0.58, -0.58, -0.71, -1.15, -1.15, -0.58, -1.02, -0.99, 
NA, NA, NA, NA, NA, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 
-1.5, -0.71, 0.71, NA, 0.71, NA, -0.71, NaN, NaN, NaN, 1.15, 
NaN, -0.83, NaN, 1.5, 0.58, NaN, -0.83, -0.5, 0.58, NaN, -0.28, 
-0.5, 0.5, NaN, 0.58, -0.5, 0.5, NaN, NaN, NaN, NaN, NaN, NaN, 
NaN, NaN, NaN, NaN, NaN, -1.15, -1.5, NaN, 1.5, 0.71, 1.13, 1.15, 
1.06, 0.22, 0.15, 0, -0.91, -0.83, -0.73, -0.71, -0.1, -0.58, 
0.22, 0, -0.78, 0.87, 1, 0.26, 0.58, 0.58, 0, NaN, NA, NA, NA, 
NA, -0.71, NaN, NaN, NaN, -0.58, NaN, -1.15, -1.15, -0.71, NaN, 
-0.58, -0.58, NaN, -0.5, -0.5, NaN, NA, NaN, NaN, NaN)), row.names = c(NA, 
-128L), class = c("tbl_df", "tbl", "data.frame"))

I would be grateful for your help.

Trang chủ Giới thiệu Sinh nhật bé trai Sinh nhật bé gái Tổ chức sự kiện Biểu diễn giải trí Dịch vụ khác Trang trí tiệc cưới Tổ chức khai trương Tư vấn dịch vụ Thư viện ảnh Tin tức - sự kiện Liên hệ Chú hề sinh nhật Trang trí YEAR END PARTY công ty Trang trí tất niên cuối năm Trang trí tất niên xu hướng mới nhất Trang trí sinh nhật bé trai Hải Đăng Trang trí sinh nhật bé Khánh Vân Trang trí sinh nhật Bích Ngân Trang trí sinh nhật bé Thanh Trang Thuê ông già Noel phát quà Biểu diễn xiếc khỉ Xiếc quay đĩa Dịch vụ tổ chức sự kiện 5 sao Thông tin về chúng tôi Dịch vụ sinh nhật bé trai Dịch vụ sinh nhật bé gái Sự kiện trọn gói Các tiết mục giải trí Dịch vụ bổ trợ Tiệc cưới sang trọng Dịch vụ khai trương Tư vấn tổ chức sự kiện Hình ảnh sự kiện Cập nhật tin tức Liên hệ ngay Thuê chú hề chuyên nghiệp Tiệc tất niên cho công ty Trang trí tiệc cuối năm Tiệc tất niên độc đáo Sinh nhật bé Hải Đăng Sinh nhật đáng yêu bé Khánh Vân Sinh nhật sang trọng Bích Ngân Tiệc sinh nhật bé Thanh Trang Dịch vụ ông già Noel Xiếc thú vui nhộn Biểu diễn xiếc quay đĩa Dịch vụ tổ chức tiệc uy tín Khám phá dịch vụ của chúng tôi Tiệc sinh nhật cho bé trai Trang trí tiệc cho bé gái Gói sự kiện chuyên nghiệp Chương trình giải trí hấp dẫn Dịch vụ hỗ trợ sự kiện Trang trí tiệc cưới đẹp Khởi đầu thành công với khai trương Chuyên gia tư vấn sự kiện Xem ảnh các sự kiện đẹp Tin mới về sự kiện Kết nối với đội ngũ chuyên gia Chú hề vui nhộn cho tiệc sinh nhật Ý tưởng tiệc cuối năm Tất niên độc đáo Trang trí tiệc hiện đại Tổ chức sinh nhật cho Hải Đăng Sinh nhật độc quyền Khánh Vân Phong cách tiệc Bích Ngân Trang trí tiệc bé Thanh Trang Thuê dịch vụ ông già Noel chuyên nghiệp Xem xiếc khỉ đặc sắc Xiếc quay đĩa thú vị
Trang chủ Giới thiệu Sinh nhật bé trai Sinh nhật bé gái Tổ chức sự kiện Biểu diễn giải trí Dịch vụ khác Trang trí tiệc cưới Tổ chức khai trương Tư vấn dịch vụ Thư viện ảnh Tin tức - sự kiện Liên hệ Chú hề sinh nhật Trang trí YEAR END PARTY công ty Trang trí tất niên cuối năm Trang trí tất niên xu hướng mới nhất Trang trí sinh nhật bé trai Hải Đăng Trang trí sinh nhật bé Khánh Vân Trang trí sinh nhật Bích Ngân Trang trí sinh nhật bé Thanh Trang Thuê ông già Noel phát quà Biểu diễn xiếc khỉ Xiếc quay đĩa
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