I would like to make a brief adjustment to the code below. Notice that I insert in my daterange
to check from 14/11 (Sunday) to 15/11 (Monday), but the generated table shows Monday before Sunday. However, I would like it to be in the order of the chosen weekday, that is, Sunday first and then Monday. As it is, I believe it's in alphabetical order. How can I adjust this?
Code below:
library(shiny)
library(shinythemes)
library(dplyr)
library(DT)
Test <- structure(list(date1 = as.Date(c("2021-11-01","2021-11-01","2021-11-01","2021-11-01")),
date2 = as.Date(c("2021-10-18","2021-10-18","2021-10-28","2021-10-30")),
Week = c("Monday", "Monday", "Sunday", "Sunday"),
Category = c("FDE", "FDE", "FDE", "FDE"),
time = c(4, 6, 6, 3)), class = "data.frame",row.names = c(NA, -4L))
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
sidebarLayout(
sidebarPanel(
uiOutput('daterange')
),
mainPanel(
dataTableOutput('table')
)
))
))
server <- function(input, output,session) {
data <- reactive(Test)
output$daterange <- renderUI({
dateRangeInput("daterange1", "Period you want to see:",
min = min(data()$date1))
})
observe({updateDateRangeInput(session,"daterange1",start = NA, end = NA)})
wk_port2eng <- data.frame(
WeekE = c("Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"),
WeekP = c("segunda-feira", "terca-feira", "quarta-feira", "quinta-feira", "sexta-feira", "sabado", "domingo")
)
data_subset <- reactive({
req(input$daterange1)
req(input$daterange1[1] <= input$daterange1[2])
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
Test1 <- dplyr::filter(data(), date1 %in% days)
weeks_inp <- unique(weekdays(days))
wk <- wk_port2eng[wk_port2eng$WeekP %in% weeks_inp,] ### if weekday is in Portuguese in your notebook
#wk <- wk_port2eng[wk_port2eng$WeekE %in% weeks_inp,] ### if weekday is in English in your notebook
weeks_ine <- wk$WeekE
meanTest1 <- data() %>%
group_by(Week = tools::toTitleCase(Week), Category) %>%
summarise(mean = mean(time, na.rm = TRUE), .groups = 'drop')
meanTest <- meanTest1[meanTest1$Week %in% as.character(weeks_ine),]
meanTest
})
output$table <- renderDataTable({
data_subset()
})
}
shinyApp(ui = ui, server = server)
Output table
CodePudding user response:
We could use a match
on the weekdays
left_join(meanTest, wk_port2eng, by = c("Week" = "WeekE")) %>%
arrange(match(WeekP, weekdays(input$daterange1))) %>%
select(-WeekP)
-server code
server <- function(input, output,session) {
data <- reactive(Test)
output$daterange <- renderUI({
dateRangeInput("daterange1", "Period you want to see:",
min = min(data()$date1))
})
observe({updateDateRangeInput(session,"daterange1",start = NA, end = NA)})
wk_port2eng <- data.frame(
WeekE = c("Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"),
WeekP = c("segunda-feira", "terca-feira", "quarta-feira", "quinta-feira", "sexta-feira", "sabado", "domingo")
)
data_subset <- reactive({
req(input$daterange1)
req(input$daterange1[1] <= input$daterange1[2])
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
Test1 <- dplyr::filter(data(), date1 %in% days)
weeks_inp <- unique(weekdays(days))
wk <- wk_port2eng[wk_port2eng$WeekP %in% weeks_inp,] ### if weekday is in Portuguese in your notebook
#wk <- wk_port2eng[wk_port2eng$WeekE %in% weeks_inp,] ### if weekday is in English in your notebook
weeks_ine <- wk$WeekE
meanTest1 <- data() %>%
group_by(Week = tools::toTitleCase(Week), Category) %>%
summarise(mean = mean(time, na.rm = TRUE), .groups = 'drop')
meanTest <- meanTest1[meanTest1$Week %in% as.character(weeks_ine),]
left_join(meanTest, wk_port2eng, by = c("Week" = "WeekE")) %>%
arrange(match(WeekP, weekdays(input$daterange1))) %>%
select(-WeekP)
})
output$table <- renderDataTable({
data_subset()
})
}
shinyApp(ui = ui, server = server)
-output