I am trying to have Shiny connects to Teradata.
Below is the code I have but I always get "ERROR: [on_request_read] connection reset by peer" after I choose the indicator and click the action button. Appreciated any input for this. Thanks.
ui <- shinyUI(fluidPage(
titlePanel("Generic grapher"),
sidebarLayout(
sidebarPanel(
numericInput("wafer", label = h3("Select Indicator:"),
value = NULL),
actionButton("do", "An action button")
),
mainPanel(
verbatimTextOutput("value"),
verbatimTextOutput("que"),
verbatimTextOutput("wq_print"),
dataTableOutput(outputId="pos")
)
)
)
)
library(markdown)
library(RODBC)
library(DBI)
library(sqldf)
ch<-odbcConnect("xxx", uid=" ",pwd=" ")
wq = data.frame()
server <- shinyServer(function(input, output){
values <- reactiveValues()
values$df <- data.frame()
d <- eventReactive(input$do, { input$wafer })
output$value <- renderPrint({ d() })
a <- reactive({ paste("SELECT * FROM dwname.tablename WHERE indicator_x = ", d(), sep="") })
output$que <- renderPrint({ a() })
observe({
if (!is.null(d())) {
wq <- reactive({ sqlQuery( a() ) })
output$wq_print <- renderPrint({ print(str(wq())) })
values$df <- rbind(isolate(values$df), wq())
}
})
output$pos <- renderDataTable({ values$df })
})
shinyApp(ui, server)
Related
I am trying now since days to get my Shiny App working so that when I move my mouse to certain points in the plot they are displayed in a table but unfortunately it is not working.
I am not sure what I am doing wrong, can you help me?
border <- table$A < 0.03
ui <- fluidPage(
mainPanel(
plotOutput("Plot",click="plot_click"),
tableOutput("HitSpots")
)
)
server <- function(input, output){
output$Plot <- renderPlot({
ggplot(table,aes(x=table$A, y=table$B), colour=border)) +
geom_point()
})
hit <- reactive({
nearPoints(table, input$plot_click)
})
output$HitSpots <- renderTable({
hit()
}
}
shinyApp(ui = ui, server = server)
There are some problems with your parentheses. But the main problem is that you do ggplot(table, aes(x=table$A, y=table$B)), and then nearpoints is looking for columns named table$A and table$B. Do ggplot(table, aes(x=A, y=B)) instead.
library(shiny)
library(ggplot2)
table <- data.frame(
A = c(1,2,3),
B = c(3,2,1)
)
ui <- fluidPage(
mainPanel(
plotOutput("Plot", click="plot_click"),
tableOutput("HitSpots")
)
)
server <- function(input, output){
output$Plot <- renderPlot({
ggplot(table, aes(x=A, y=B)) + geom_point()
})
hit <- reactive({ nearPoints(table, input$plot_click) })
output$HitSpots <- renderTable({
hit()
})
}
shinyApp(ui = ui, server = server)
I would like to make sure that when we click on the button button we send in the verbatimTextOutput, 1 then we pause for 2s and at the end we send 2.
But what I get is a pause for 2s then it sends 1 and 2.
How can I do that ?
library(shiny)
ui <- fluidPage(
verbatimTextOutput("output", placeholder = TRUE),
actionButton("b", "button")
)
server <- function(input, output, session) {
o <- reactiveVal("--- Hello ---")
output$output <- renderText(o())
observeEvent(input$b, {
o(c(o(), "\n", "- 1 "))
Sys.sleep(2)
o(c(o(), "\n", "- 2 "))
})
}
shinyApp(ui, server)
library(shiny)
library(magrittr)
ui <- fluidPage(
verbatimTextOutput("output", placeholder = TRUE),
actionButton("b", "button")
)
server <- function(input, output, session) {
v <- reactiveValues(msg = "--- Hello ---",start = 0)
output$output <- renderText({
v$msg
})
observeEvent(input$b,{
v$msg <- paste0(v$msg,"\n","- 1 ")
v$start <- v$start + 1
})
start <- reactive({
v$start
})
start_d <- start %>% debounce(50)
observeEvent(start_d(),{
req(start_d() > 0)
Sys.sleep(2)
v$msg <- paste0(v$msg,"\n","- 2 ")
})
}
shinyApp(ui, server)
It's possible to do with delay() from shinyjs
library(shiny)
library(shinyjs)
ui <- fluidPage(
useShinyjs(),
verbatimTextOutput("output", placeholder = TRUE),
actionButton("b", "button")
)
server <- function(input, output, session) {
o <- reactiveVal("--- Hello ---")
output$output <- renderText(o())
observeEvent(input$b, {
o(c(o(), "\n", "- 1 "))
delay(2000, o(c(o(), "\n", "- 2 ")))
})
}
shinyApp(ui, server)
I am attempting to exclude a ShinyJS delay from a reactive bookmarking context in Shiny. I see that the delay ID in the URL is autogenerated and always different: delay-ad190e10123bd97f960fed7a8a9e6fde=3000.
I attempted to exclude the delay via regular expression, however I don't believe the regex is being parsed:
setBookmarkExclude(
c("delay-[[:alnum:]]"))
I would like a way to either set the ID on the delay so it is the same every time or to regex the setBookmarkExclude to exclude the randomly generated delay ID
Please see the following example:
library(shiny)
library(shinyjs)
ui <- function(request) {
fluidPage(
useShinyjs(),
br(),
bookmarkButton(id="bookmarkBtn"),
hr(),
textOutput("ExcludedIDsOut"),
hr(),
sliderInput(inputId="slider", label="My value will be bookmarked", min=0, max=10, value=5),
textOutput("out_1"),
textOutput("out_2"),
textOutput("out_3")
)
}
server <- function(input, output, session) {
observeEvent(input$bookmarkBtn, {
session$doBookmark()
})
ExcludedIDs <- reactiveVal(value = NULL)
observe({
toExclude <- "bookmarkBtn"
delayExclude <- grep("delay", names(input), value = TRUE)
if(length(delayExclude) > 0){
toExclude <- c(toExclude, delayExclude)
}
setBookmarkExclude(toExclude)
ExcludedIDs(toExclude)
})
output$ExcludedIDsOut <- renderText({
paste("ExcludedIDs:", paste(ExcludedIDs(), collapse = ", "))
})
delay(1000, {
output$out_1 <- renderText({
"My"
})
})
delay(2000, {
output$out_2 <- renderText({
"delayed"
})
})
delay(3000, {
output$out_3 <- renderText({
"output"
})
})
}
enableBookmarking(store = "url") # store = "server"
shinyApp(ui, server)
Update: Whitelist approach
library(shiny)
library(shinyjs)
ui <- function(request) {
fluidPage(
useShinyjs(),
br(),
bookmarkButton(id="bookmarkBtn"),
hr(),
textOutput("ExcludedIDsOut"),
hr(),
sliderInput(inputId="slider", label="My value will be bookmarked", min=0, max=10, value=5),
textOutput("out_1"),
textOutput("out_2"),
textOutput("out_3")
)
}
server <- function(input, output, session) {
bookmarkingWhitelist <- c("slider")
observeEvent(input$bookmarkBtn, {
session$doBookmark()
})
ExcludedIDs <- reactive({
toExclude <- setdiff(names(input), bookmarkingWhitelist)
setBookmarkExclude(toExclude)
toExclude
})
output$ExcludedIDsOut <- renderText({
paste("ExcludedIDs:", paste(ExcludedIDs(), collapse = ", "))
})
delay(1000, {
output$out_1 <- renderText({
"My"
})
})
delay(2000, {
output$out_2 <- renderText({
"delayed"
})
})
delay(3000, {
output$out_3 <- renderText({
"output"
})
})
}
enableBookmarking(store = "url") # store = "server"
shinyApp(ui, server)
Here is a related GitHub issue, note session$getBookmarkExclude() as an alternative to keep track of the excluded inputs.
I'm building a shiny app that would display in dygraphs a basic dataset and then offer an option to add new time series upon selecting the checkbox input. However, as I coded it now, I'm 'stuck' at the original dataset and unable to add/remove new content. Any hints how to solve this are very welcome, thanks.
library(shinydashboard)
library(dygraphs)
library(dplyr)
ui <-dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
useShinyjs(),
checkboxGroupInput(inputId = 'options',
label = 'Choose your plot(s)',
choices = list("mdeaths" = 1,
"ldeaths" = 2)
),
uiOutput("Ui1")
)
)
server <- function(input, output, session) {
output$Ui1 <- renderUI({
output$plot1 <- renderDygraph({
final_ts <- ldeaths
p <- dygraph(final_ts, main = 'Main plot') %>%
dygraphs::dyRangeSelector()
if(1 %in% input$options) {
final_ts <- cbind(final_ts, mdeaths)
p <- p %>%
dySeries('mdeaths', 'Male Deaths')
} else if(2 %in% input$options) {
final_ts <- cbind(final_ts, fdeaths)
p <- p %>%
dySeries('fdeaths', 'Female Deaths')
}
p
})
dygraphOutput('plot1')
})
}
shinyApp(ui, server)
I'd suggest to dynamically filter the data based on the user selection instead of dynamically adding/removing traces from the plot:
library(shinydashboard)
library(shinyjs)
library(dygraphs)
library(dplyr)
lungDeaths <- cbind(ldeaths, mdeaths, fdeaths)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
useShinyjs(),
selectizeInput(
inputId = "options",
label = "Choose your trace(s)",
choices = colnames(lungDeaths),
selected = colnames(lungDeaths)[1],
multiple = TRUE,
options = list('plugins' = list('remove_button'))
),
uiOutput("Ui1")
)
)
server <- function(input, output, session) {
output$Ui1 <- renderUI({
filteredLungDeaths <- reactive({
lungDeaths[, input$options]
})
output$plot1 <- renderDygraph({
p <- dygraph(filteredLungDeaths(), main = 'Main plot') %>%
dygraphs::dyRangeSelector()
if('mdeaths' %in% colnames(filteredLungDeaths())){
p <- dySeries(p, 'mdeaths', 'Male Deaths')
}
if('fdeaths' %in% colnames(filteredLungDeaths())){
p <- dySeries(p, 'fdeaths', 'Female Deaths')
}
p
})
dygraphOutput('plot1')
})
}
shinyApp(ui, server)
I developed a Shiny application to include couple of plots and data under different tabs.Tabs are created dynamically using another parameter.But each time i have to subset the data to prepare the plots. Say using 'mpg' subsetdata i plotted 2 different types of graphs in 'mpg' tab and i don't want to subset data every time(currently i sub set every time) when i draw the plot.For all calculations in one tab, i would like to subset the data only once.Appreciate some help
write.csv(mtcars,'mtcars.csv')
write.csv(mtcars,'mtcars.csv')
library(shiny)
library(plyr)
library(dplyr)
library(DT)
library(data.table)
ui <- pageWithSidebar(
headerPanel = headerPanel('data'),
sidebarPanel = sidebarPanel(fileInput(
'mtcars', h4('Uplaodmtcardata in csv format')
),
uiOutput('tabnamesui')),
mainPanel(uiOutput("tabsets"))
)
server <- function(input, output, session) {
mtcarsFile <- reactive({
input$mtcars
})
xxmtcars <-
reactive({
read.table(
file = mtcarsFile()$datapath,
sep = ',',
header = T,
stringsAsFactors = T
)
})
tabsnames <- reactive({
names(xxmtcars())
})
output$tabnamesui <- renderUI({
req(mtcarsFile())
selectInput(
'tabnamesui',
h5('Tab names'),
choices = as.list(tabsnames()),
multiple = T
# selected = SalesGlobalDataFilter1Val()
)
})
tabnamesinput <- reactive({
input$tabnamesui
})
output$tabsets <- renderUI({
req(mtcarsFile())
tabs <-
reactive({
lapply(tabnamesinput(), function(x)
tabPanel(title = basename(x)
,fluidRow(splitLayout(cellWidths = c("50%", "50%"),
plotOutput(paste0('plot1',x)),
plotOutput(paste0('plot2',x)
))),fluidRow(splitLayout(cellWidths =
c("50%", "50%"),
plotOutput(paste0('plot3',x)),
plotOutput(paste0('plot4',x)
))),
dataTableOutput(paste0('table',x))))
})
do.call(tabsetPanel, c(tabs()))
})
observe(
lapply(tabnamesinput(), function(x) {
output[[paste0('table',x)]] <-
renderDataTable({as.data.table((select(xxmtcars(),x)))#CODE REPEATED
})}))
observe(
lapply(tabnamesinput(), function(x) {
output[[paste0('plot1',x)]] <-
renderPlot({as.data.table((select(xxmtcars(),x)))%>%plot()#CODE REPEATED
})
})
)
observe(
lapply(tabnamesinput(), function(x) {
output[[paste0('plot2',x)]] <-
renderPlot({as.data.table((select(xxmtcars(),x)))%>%plot()#CODE #REPEATED
})
})
)
observe(
lapply(tabnamesinput(), function(x) {
output[[paste0('plot3',x)]] <-
renderPlot({as.data.table((select(xxmtcars(),x)))%>%plot()#CODE REPEATED
})
})
)
observe(
lapply(tabnamesinput(), function(x) {
output[[paste0('plot4',x)]] <-
renderPlot({as.data.table((select(xxmtcars(),x)))%>%plot()#CODE REPEATED
})
})
)
}
runApp(list(ui = ui, server = server))
You can save your sub data into a reactive object and call it when you need.
library(shiny)
library(plyr)
library(dplyr)
library(DT)
library(data.table)
ui <- pageWithSidebar(
headerPanel = headerPanel('data'),
sidebarPanel = sidebarPanel(fileInput(
'mtcars', h4('Uplaodmtcardata in csv format')
),
uiOutput('tabnamesui')),
mainPanel(uiOutput("tabsets"))
)
server <- function(input, output, session) {
mtcarsFile <- reactive({
input$mtcars
})
xxmtcars <-
reactive({
read.table(
file = mtcarsFile()$datapath,
sep = ',',
header = T,
stringsAsFactors = T
)
})
tabsnames <- reactive({
names(xxmtcars())
})
output$tabnamesui <- renderUI({
req(mtcarsFile())
selectInput(
'tabnamesui',
h5('Tab names'),
choices = as.list(tabsnames()),
multiple = T
# selected = SalesGlobalDataFilter1Val()
)
})
tabnamesinput <- reactive({
input$tabnamesui
})
output$tabsets <- renderUI({
req(mtcarsFile())
tabs <-
reactive({
lapply(tabnamesinput(), function(x)
tabPanel(title = basename(x)
,fluidRow(splitLayout(cellWidths = c("50%", "50%"),
plotOutput(paste0('plot1',x)),
plotOutput(paste0('plot2',x)
))),fluidRow(splitLayout(cellWidths =
c("50%", "50%"),
plotOutput(paste0('plot3',x)),
plotOutput(paste0('plot4',x)
))),
dataTableOutput(paste0('table',x))))
})
do.call(tabsetPanel, c(tabs()))
})
# Save your sub data here
subsetdata<-reactive({
list_of_subdata<-lapply(tabnamesinput(), function(x) {
as.data.table((select(xxmtcars(),x)))
})
names(list_of_subdata)<-tabnamesinput()
return(list_of_subdata)
})
observe(
lapply(tabnamesinput(), function(x) {
output[[paste0('table',x)]] <-
renderDataTable({
subsetdata()[[x]]
})}))
observe(
lapply(tabnamesinput(), function(x) {
for(i in paste0("plot",1:4)){
output[[paste0(i,x)]] <-
renderPlot({subsetdata()[[x]]%>%plot()#CODE REPEATED
})
}
})
)
}
runApp(list(ui = ui, server = server))