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| dans la partie "UI.R":
library(shiny)
source('ref.R')
PAGE_WIDTH <- 1700
span.widths <- Reduce(paste, sapply(1:12, function(n) paste0('.span', n, '{width:', floor(n * PAGE_WIDTH / 12), 'px;}')))
shinyUI(fluidPage(
#Barre de navigation
navbarPage( title="Test", windowTitle="Test", collapsible=TRUE,
tabPanel("page 1",
#Sidebar Panel
sidebarLayout(position="left", fluid=TRUE,
sidebarPanel( width= 2,
h4("c1/c2"),
do.call(verticalLayout,row.list.c1)
),
mainPanel(width = 10,
h4(textOutput('txtCurrentc1')),
uiOutput('c2.buttons'),
h4(textOutput('txtc2Name'))
))
),
tabPanel("page 2")
)))
la partie "server.R":
source('ref.R')
last.states.c1 <<- sapply(as.character(unique(df.parts$c1)), function(Y) 0)
#generation de la liste de bouttons c2 en fonction de c1 selectionne
renderc2Buttons <- function(currentc1) {
renderUI({
lapply(rownames(df.parts[df.parts$c1 == as.character(currentc1), ]), function(cl) {
with(df.parts[df.parts$c2 == cl, ],
actionButton(inputId=paste0('btn', cl),label=cl))
})
})
}
### MAIN SERVER LOOP
shinyServer(function(input, output, session) {
###############################################
button.states.c1 <- reactive({
sapply(as.character(unique(df.parts$c1)), function(c1) {input[[paste0("btn",c1)]]})
})
# c1 # selection button observer
observe({
# Detect which button was pressed
states.c1 <<- button.states.c1()
change.c1 <<- states.c1 != last.states.c1
if (sum(change.c1) > 0) {
print("checkpoint")
currentc1 <<- names(which(change.c1))[1]
last.states.c2 <<- sapply(as.character(df.parts$c2[df.parts$c1 == as.character(currentc1)]), function(x) 0)
states.c2 <<- sapply(as.vector(df.parts[df.parts$c1 == currentc1,2]), function(x) 0)
print("Current c1 Script Executed")
#Update the UI
output$txtCurrentc1 <- renderText(paste("Colonne selectionnée ",currentc1))
output$c2.buttons <- renderc2Buttons(currentc1)
}
# Remember button states
last.states.c1 <<- states.c1
})
######################################################
button.states.c2 <- reactive({
sapply(as.vector(df.parts[df.parts$c1 == currentc1,2]), function(cl) input[[paste0('btn', cl)]])
})
######################################################
# c2 # selection button observer
observe({
# Detect which button was pressed
states.c2 <<- button.states.c2()
print(states.c2)
change.c2 <- states.c2 != last.states.c2
print(change.c2)
if (sum(change.c2) != 0) {
print("checkpoint c2")
currentc2 <<- names(which(change.c2))[1]
# Update the UI
output$txtc2Name <- renderText(as.character(df.parts$c2[df.parts$c2 == as.character(currentc2)]))
}
# Remember button states
last.states.c2 <<- states.c2
})
})
et enfin la partie "ref.R":
currentc1 <- NULL
#Creation du data frame
df.parts <- data.frame(c1 = c("a","a","a","a","a","b","b","b","c","c","c","c","c","c"), c2 = c("1","2","3","4","5","6","7","8","9","10","11","12","13","14"))
rownames(df.parts) <- df.parts$c2
row.list.c1 <- lapply(unique(df.parts$c1), function(p){
c1.buttons <- lapply(p, function(c1){
actionButton(inputId=paste0("btn",c1), label=c1)
})
fluidRow(id= p, c1.buttons)
}) |
Importer les données [shiny]
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