在R SHINY中，如何自动或基于函数tabPanel，假设我们有3层列表？ [英] in R shiny, how to automatically or based on function tabPanel, given we have 3 levels of lists?
本文介绍了在R SHINY中，如何自动或基于函数tabPanel，假设我们有3层列表？的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
level1<-list(DRINKS,SWEETS,NUTS)
已尝试代码，但无法正常工作
列出--
library(shiny)
library(reshape2)
library(dplyr)
hotdrinks<-list('hotdrinks'=list("tea","green tea"))
juices<-list('juices'=list("orange","mango") )
energydrinks<-list('energydrinks'=list("powerhorse","redbull"))
drinks<-list('drinks'=list(hotdrinks,juices,energydrinks))
biscuits<-list('bisc'=list("loacker","tuc"))
choc<-list('choc'=list("aftereight","lindt") )
gum<-list('gum'=list("trident","clortes") )
sweets<-list('sweets'=list(gum,juices,energydrinks))
almonds<-list('almonds'=list("salted","roasted") )
pistcio<-list('pistcio'=list("flavourd","roasted"))
nuts<-list('nuts'=list(almonds,pistcio))
all_products<-list(sweets,nuts,drinks)
mt<-melt(all_products)
mt2<-mt%>%mutate("Price"=c(23,34,23,23,54,32,45,23,12,56,76,34,62,12,98,43),
"Quantity"=c(10,20,26,22,51,52,45,23,12,56,76,55,62,12,98,43))
t1<-mt2[,c(5,3,1,8,7)]
t1
colnames(t1)<-c("CAT","PN","SP","Quantity","Price")
t2<-list(unique(t1$CAT))
t2
应用程序--
library(shiny)
server <- function(input, output,session) {
observe({print(input$t)})
observe({print(input$u)})
observe({print(input$v)})
t3<-t1%>%filter(t1$CAT==input$t)
print(t3)
t4<-list(unique(t3$PN))
print(t4)
t5<-t3%>%filter(t3$PN==input$r)
print(t5)
t6<-list(unique(t5$SP))
print(t6)
t7<-reactive({
t1%>%filter(t1$CAT==input$t,t1$PN==input$u,t1$SP==inptut$v)
print(t7())
})
output$mytable <- DT::renderDataTable({
t7
})
lapply(1:5, function(j) {
DT::dataTableOutput("mytable")
})
}
ui <- pageWithSidebar(
headerPanel("xxx"),
sidebarPanel(),
mainPanel(
do.call(tabsetPanel, c(id='t',lapply(unlist(t2), function(i) {
tabPanel(
do.call(tabsetPanel, c(id='u',lapply(unlist(t4), function(i) {
tabPanel(
do.call(tabsetPanel, c(id='v',lapply(unlist(t6), function(i) {
tabPanel(DT::dataTableOutput("mytable")
)
})))
)
})))
)
})))
)
)
shinyApp(ui, server)
手动步骤
hotdrinks<-list("tea","green tea")
juices<-list("orange","mango")
energydrinks<-list("powerhorse","redbull")
drinks<-list(hotdrinks,juices,energydrinks)
biscuits<-list("loacker","tuc")
choc<-list("aftereight","lindt")
gum<-list("trident","clortes")
sweets<-list(gum,juices,energydrinks)
almonds<-list("salted","roasted")
pistcio<-list("flavourd","roasted")
nuts<-list(almonds,pistcio)
all_products<-list(sweets,nuts,drinks)
choc<-
tabsetPanel(
tabPanel("aftereight"),
tabPanel("lindt")
)
bisc<-
tabsetPanel(
tabPanel("loacker"),
tabPanel("tuc")
)
gm<-
tabsetPanel(
tabPanel("trident"),
tabPanel("clortes")
)
hdrinks<-
tabsetPanel(
tabPanel("tea"),
tabPanel("green tea")
)
jcs<-
tabsetPanel(
tabPanel("orange"),
tabPanel("mango")
)
ngdrinks<-
tabsetPanel(
tabPanel("powerhorse"),
tabPanel("redbull")
)
al<-
tabsetPanel(
tabPanel("salted"),
tabPanel("roasted")
)
pst<-
tabsetPanel(
tabPanel("flavourd"),
tabPanel("roasted")
)
runApp(list(
ui = shinyUI( fluidPage(
sidebarLayout(
sidebarPanel(width = 2),
mainPanel(tabsetPanel(id='conditioned',
tabPanel("sweets",value=1,
tabsetPanel(
tabPanel("biscuits",
tabsetPanel(bisc)),
tabPanel("choc",
tabsetPanel(choc)),
tabPanel("gum",
tabsetPanel(gm))
)),
tabPanel("nuts",value=2,
tabsetPanel(
tabPanel("almonds",
tabsetPanel(al)),
tabPanel("pistcio",
tabsetPanel(pst))
)),
tabPanel("drinks",value=3,
tabsetPanel(
tabPanel("hotdrinks",
tabsetPanel(hdrinks)),
tabPanel("juices",
tabsetPanel(jcs)),
tabPanel("energydrinks",
tabsetPanel(ngdrinks))
))
))
))),
server = function(input, output, session) {}
))
如您所见，这种方法很容易出错，这要事先感谢。
推荐答案
hotdrinks<-list("tea","green tea")
juices<-list("orange","mango")
energydrinks<-list("powerhorse","redbull")
drinks<-list("hotdrinks"=hotdrinks, "juices"=juices, "energydrinks"=energydrinks)
lst_drinks <- lapply(seq_along(drinks),
#browser()
#create 2nd level, tab name with the corresponding 3rd level list
function(x) tabPanel(names(drinks[x]),
#create tabsetPanel for hdrinks, jcs, ngdrinks level i.e. 3rd level
do.call("tabsetPanel",
lapply(drinks[[x]], function(y) tabPanel(y))
)
)
)
hdrinks<-
tabsetPanel(
tabPanel("tea"),
tabPanel("green tea")
)
jcs<-
tabsetPanel(
tabPanel("orange"),
tabPanel("mango")
)
ngdrinks<-
tabsetPanel(
tabPanel("powerhorse"),
tabPanel("redbull")
)
runApp(list(
ui = shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(width = 2),
mainPanel(tabsetPanel(id='conditioned',
tabPanel("drinks",value=3,
tabsetPanel(
tabPanel("hotdrinks",
#No need for tabsetPanel as hdrinks already has one, therefore I removed it in lapply
tabsetPanel(hdrinks)),
tabPanel("juices",
tabsetPanel(jcs)),
tabPanel("energydrinks",
tabsetPanel(ngdrinks))
)),
tabPanel("drinks-test",
do.call("tabsetPanel", lst_drinks))
))
))),
server = function(input, output, session) {}
))
完整解决方案
hotdrinks<-list("tea","green tea")
juices<-list("orange","mango")
energydrinks<-list("powerhorse","redbull")
drinks<-list("hotdrinks"=hotdrinks,"juices"=juices,"energydrinks"=energydrinks)
biscuits<-list("loacker","tuc")
choc<-list("aftereight","lindt")
gum<-list("trident","clortes")
sweets<-list("gum"=gum,"biscuits"=biscuits,"choc"=choc)
all <- list("drinks"=drinks, "sweets"=sweets)
all_lst <- lapply(seq_along(all), function(z) tabPanel(names(all)[z],
do.call("tabsetPanel",
lapply(seq_along(all[[z]]), function(x) tabPanel(names(all[[z]][x]),
do.call("tabsetPanel",
lapply(all[[z]][[x]], function(y) tabPanel(y, DT::dataTableOutput(y)))
)
)
)
)
)
)
runApp(list(
ui = shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(width = 2),
mainPanel(do.call("tabsetPanel", c(id='conditioned', all_lst)))
))),
server = function(input, output, session) {
observe({
nms = unlist(all)
names(nms) <- sub('\d', '', names(nms))
for(i in seq_along(nms)){
#browser()
local({
nm = nms[i]
CAT_var = unlist(strsplit(names(nm), '\.'))[1]
PN_var = unlist(strsplit(names(nm), '\.'))[2]
SP_var = nm[[1]]
output[[SP_var]] <- DT::renderDataTable({filter(t1, CAT==CAT_var, PN==PN_var, SP==SP_var)})
})
}
})
}
))
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