In this shiny App (code below), I need that the button labeled 'Customized' returns:
Select var X: disp
Select var Y: drat
Point size: 1.0
This necessity is a bit similar to the reset button available on the R package 'shinyjs', with the diference of that the reset button returns to the code's default.
library(shiny)
library(shinyjs)
shinyApp(
ui <- fluidPage(
sidebarPanel(
fluidRow(
shinyjs::useShinyjs(),
id = "panel_vars",
# Buttons
uiOutput("varx"),
uiOutput("vary"),
numericInput("ptSize", "Point size",
min=.1, max=5, value = 2),
actionButton("p1", 'Reset variables XY'),
helpText(""),
actionButton("p2", 'Customized')
)
),
mainPanel(
plotOutput("plot")
)
),
server <- function(input, output) {
getModel <- reactive({
names(mtcars)
})
output$varx <- renderUI({
selectInput("varsel.x", "Select var X",
choices = as.list(getModel()), multiple = F)
})
output$vary <- renderUI({
selectInput("varsel.y", "Select var Y",
choices = as.list(getModel()), multiple = F)
})
observeEvent(input$p1, {
shinyjs::reset("panel_vars")
})
output$plot <- renderPlot({
p <- mtcars %>% ggplot(aes_string(x=input$varsel.x, y=input$varsel.y))+
geom_point(size=input$ptSize)
p
})
}
)
You can simply use updateSelectInput and updateNumericInput to do so:
library(shiny)
library(shinyjs)
library(dplyr)
library(ggplot2)
shinyApp(
ui <- fluidPage(
sidebarPanel(
fluidRow(
shinyjs::useShinyjs(),
id = "panel_vars",
# Buttons
uiOutput("varx"),
uiOutput("vary"),
numericInput("ptSize", "Point size",
min=.1, max=5, value = 2),
actionButton("p1", 'Reset variables XY'),
helpText(""),
actionButton("p2", 'Customized')
)
),
mainPanel(
plotOutput("plot")
)
),
server <- function(input, output,session) {
getModel <- reactive({
names(mtcars)
})
output$varx <- renderUI({
selectInput("varsel.x", "Select var X",
choices = as.list(getModel()), multiple = F)
})
output$vary <- renderUI({
selectInput("varsel.y", "Select var Y",
choices = as.list(getModel()), multiple = F)
})
observeEvent(input$p1, {
shinyjs::reset("panel_vars")
})
output$plot <- renderPlot({
req(input$varsel.x,input$varsel.y,input$ptSize)
p <- mtcars %>% ggplot(aes_string(x=input$varsel.x, y=input$varsel.y))+
geom_point(size=input$ptSize)
p
})
observeEvent(input$p2, {
updateSelectInput(session,'varsel.x',selected = 'disp')
updateSelectInput(session,'varsel.y',selected = 'drat')
updateNumericInput(session, "ptSize", value = 1.0)
})
}
)
Related
In this shiny App (code below), tabPanel 'Scatter plot', note that the plot is correctly rendered only when the user expand the bsCollapsePanel 'Marker settings' for the first time. Before expanding the panel 'Marker settings' at first time, the message Error: argument is of length zero is shown. Can someone find out where the error is in the code?
library(shiny)
library(shinyBS)
library(tidyverse)
shinyApp(
ui = fluidPage(
tabsetPanel(
tabPanel("mtcars",
dataTableOutput("mtcarsDATA")),
tabPanel("Scatter plot",
sidebarPanel(
bsCollapse(id = "Side panel", open = "Variables",
bsCollapsePanel("Variables",
uiOutput("varx"),
uiOutput("vary"))
)
),
mainPanel(
bsCollapsePanel("Marker settings",
uiOutput("showMrk"),
uiOutput("shpMrk"),
uiOutput("forPorForma"),
uiOutput("forPorVar"),
uiOutput("mrkTrsp")),
plotOutput('SctPlot'))
)
)
),
server <- function(input, output) {
output$mtcarsDATA <- renderDataTable({
data <- mtcars
getModel <- reactive({
names(data) })
output$varx <- renderUI({
selectInput("varsel.x", HTML("Select var X<span style='color: red'>*</span>"),
choices = as.list(getModel()), multiple = F) })
getModelnum <- reactive({
filterNumeric <- data[sapply(data, is.numeric)]
names(filterNumeric) })
output$vary <- renderUI({
selectInput("varsel.y", HTML("Select var Y<span style='color: red'>*</span>(numerical only)"),
choices = as.list(getModelnum()), multiple = F) })
output$showMrk <- renderUI({
checkboxInput("show_Mrk", "Show marker", value=T) })
output$shpMrk <- renderUI({
conditionalPanel(condition = "input.show_Mrk == T",
radioButtons("shp_Mrk", "Format marker",
choices = c("by shape", "by variable"))) })
output$forPorForma <- renderUI({
conditionalPanel(condition = "input.shp_Mrk == 'by shape' & input.show_Mrk == T",
sliderInput("for_PorForma", 'Deslize para mudar o formato do marcador',
min = 1, max=25, value = 16)) })
output$mrkTrsp <- renderUI({
conditionalPanel(condition = "input.show_Mrk == T",
sliderInput("mrk_Trsp", 'Slide to change marker transparency',
min = 0, max=1, value = .5, step=.05)) })
getModelcat <- reactive({
filterCaracter <- data[sapply(data, is.character)]
names(filterCaracter) })
output$forPorVar <- renderUI({
conditionalPanel(condition = "input.show_Mrk == 1 & input.shp_Mrk == 'by variable'",
selectInput("forPorVar.sel", "Select var",
choices = as.list(getModelcat()), multiple = F)) })
output$SctPlot <- renderPlot({
if(input$show_Mrk == T){
if(input$shp_Mrk == "by shape") {
geomPoint <- geom_point(alpha=1-input$mrk_Trsp, shape=input$for_PorForma) } else {
geomPoint <- geom_point(alpha=1-input$mrk_Trsp, aes_string(shape=(input$forPorVar.sel))) }} else {
geomPoint <- geom_point(alpha=0) }
p <- data %>%
ggplot(aes_string(x=input$varsel.x, y=input$varsel.y)) +
geomPoint
p
})
data
})
}
)
I'm building a shiny app that would display in dygraphs a basic dataset and then offer an option to add new time series upon selecting the checkbox input. However, as I coded it now, I'm 'stuck' at the original dataset and unable to add/remove new content. Any hints how to solve this are very welcome, thanks.
library(shinydashboard)
library(dygraphs)
library(dplyr)
ui <-dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
useShinyjs(),
checkboxGroupInput(inputId = 'options',
label = 'Choose your plot(s)',
choices = list("mdeaths" = 1,
"ldeaths" = 2)
),
uiOutput("Ui1")
)
)
server <- function(input, output, session) {
output$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 have a list object that I would like to update with a reactive input. The object has to be a list.
Below is my minimal code. Thanks in advance.
library(shiny)
shinyApp(
ui = fluidPage(
fluidRow(
numericInput("number", "Change number", 10, min = 1, max = 100),
verbatimTextOutput('show')
)
),
server = function(input, output, session) {
QG <- list(a = c(1:10),
b = LETTERS[1:10])
#How to update reactiveVal from reactive input
#QG$a[2] <- input$number
output$show <- renderPrint({
QG$a[2]
})
}
)
Something like this?
library(shiny)
QG <- list(a = c(1:10),b = LETTERS[1:10])
shinyApp(
ui = fluidPage(
fluidRow(
numericInput("number", "Change number", 10, min = 1, max = 100),
verbatimTextOutput('show')
)
),
server = function(input, output, session) {
Values <- reactive({
QG$a[2] <- as.numeric(input$number)
QG
})
output$show <- renderPrint({
Values()
})
}
)
I have a data table with filter enabled and i want to read selected rows from this data table.
input$table_rows_selected works fine if the filter is not applied however once i apply filter on data then correct rowindex is not returned.
ui <- function(id) {
fluidPage(
title = "Job Tracker",
fluidRow(
column(width=6,
selectInput("pickvalue", label = "Pick a Value", choices = unique(iris$Species))
)
),
br(),
fluidRow(
column(12,
DT::dataTableOutput("job_data")
)
),
br(),
fluidRow(
column(12,DT::dataTableOutput("x4"))
)
)
}
server <- function(input, output, session)
{
output$job_data <- DT::renderDataTable({
datatable(iris[iris$Species==input$pickvalue,],selection = "single")
})
output$x4 <- DT::renderDataTable({
s <- input$job_data_rows_selected
datatable(iris[s,])
})
}
To return previously selected row index you can add some reactiveValues to track the index like so, please note that the index is subject to data so if you select index = 4 and switch the data, the index = 4 will be applied to new data:
library(shiny)
library(DT)
ui <- function(id) {
fluidPage(
title = "Job Tracker",
fluidRow(
column(width=6,
selectInput("pickvalue", label = "Pick a Value", choices = unique(iris$Species))
)
),
br(),
fluidRow(
column(12,
DT::dataTableOutput("job_data")
)
),
br(),
fluidRow(
column(12,DT::dataTableOutput("x4"))
)
)
}
server <- function(input, output, session){
v <- reactiveValues()
v$s <- NULL
data <- reactive({
iris[iris$Species==input$pickvalue,]
})
output$job_data <- DT::renderDataTable({
datatable(data(),selection = "single")
})
observe({
if(!is.null(input$job_data_rows_selected)){
v$s <- input$job_data_rows_selected
}
})
output$x4 <- DT::renderDataTable({
datatable(data()[v$s,])
})
}
shinyApp(ui, server)
If you want to keep the index correctly, remove rownames:
data <- reactive({
data <- (iris[iris$Species==input$pickvalue,])
rownames(data) <- NULL
data
})
This app is creating a vector of standardised names which I create given some user input (number of channels and replicates). An example of the standard names given the number of channels = 4 and and replicates = 1 is as follows:
c("rep1_C0","rep1_C1","rep1_C2","rep1_C3")
I would like to allow the user to replace the value of the selection with their own custom value. For example to change the input "rep1_C0" to "Control_rep1". And then for it to then update the reactive vector in question. Here is my code:
library(shiny)
ui <- shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(column(5, numericInput("chans","# Channels",value = 4, min = 1)),
column(5, numericInput("reps","# Replicates",value = 1,min = 1))
),
uiOutput("selectnames")
),
mainPanel(
tableOutput("testcols")
)
)
))
server <- shinyServer(function(input, output) {
standardNames <- reactive({
paste("rep",rep(1:input$reps,each = input$chans),"_",
rep(paste("C",0:(input$chans - 1), sep = ""),input$reps),sep = "")
})
output$selectnames <- renderUI({
selectizeInput("selectnames", "Change Names", choices = standardNames(),
options = list(maxOptions = input$reps * input$chans))
})
## output
output$testcols <- renderTable({
standardNames()
})
})
shinyApp(ui = ui, server = server)
Is there some kind of option I can pass in the options sections that will allow this?
With selectizeInput you can set options = list(create = TRUE) to allow the user to add levels to the selection list, but I don't think that is what you want.
Instead, here is code that generates a text input box for each of the standard names, and allows the user to enter a label for them. It uses lapply and sapply to loop over each value and generate/read the inputs.
library(shiny)
ui <- shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(column(5, numericInput("chans","# Channels",value = 4, min = 1)),
column(5, numericInput("reps","# Replicates",value = 1,min = 1))
),
uiOutput("setNames")
),
mainPanel(
tableOutput("testcols")
)
)
))
server <- shinyServer(function(input, output) {
standardNames <- reactive({
paste("rep",rep(1:input$reps,each = input$chans),"_",
rep(paste("C",0:(input$chans - 1), sep = ""),input$reps),sep = "")
})
output$setNames <- renderUI({
lapply(standardNames(), function(thisName){
textInput(paste0("stdName_", thisName)
, thisName
, thisName)
})
})
labelNames <- reactive({
sapply(standardNames()
, function(thisName){
input[[paste0("stdName_", thisName)]]
})
})
## output
output$testcols <- renderTable({
data.frame(
stdName = standardNames()
, label = labelNames()
)
})
})
shinyApp(ui = ui, server = server)
If you want to hide the list unless the user wants to add labels, you can use a simple checkbox, like this, which hides the label making list until the use checks the box to show it.
library(shiny)
ui <- shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(column(5, numericInput("chans","# Channels",value = 4, min = 1)),
column(5, numericInput("reps","# Replicates",value = 1,min = 1))
)
, checkboxInput("customNames", "Customize names?")
, uiOutput("setNames")
),
mainPanel(
tableOutput("testcols")
)
)
))
server <- shinyServer(function(input, output) {
standardNames <- reactive({
paste("rep",rep(1:input$reps,each = input$chans),"_",
rep(paste("C",0:(input$chans - 1), sep = ""),input$reps),sep = "")
})
output$setNames <- renderUI({
if(!input$customNames){
return(NULL)
}
lapply(standardNames(), function(thisName){
textInput(paste0("stdName_", thisName)
, thisName
, thisName)
})
})
labelNames <- reactive({
if(!input$customNames){
return(standardNames())
}
sapply(standardNames()
, function(thisName){
input[[paste0("stdName_", thisName)]]
})
})
## output
output$testcols <- renderTable({
data.frame(
stdName = standardNames()
, label = labelNames()
)
})
})
shinyApp(ui = ui, server = server)
Alternatively, if you think the user may want to only change one or a small number of labels, here is a way to allow them to choose which standard name they are applying a label to:
library(shiny)
ui <- shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(column(5, numericInput("chans","# Channels",value = 4, min = 1)),
column(5, numericInput("reps","# Replicates",value = 1,min = 1))
)
, uiOutput("setNames")
),
mainPanel(
tableOutput("testcols")
)
)
))
server <- shinyServer(function(input, output) {
vals <- reactiveValues(
labelNames = character()
)
standardNames <- reactive({
out <- paste("rep",rep(1:input$reps,each = input$chans),"_",
rep(paste("C",0:(input$chans - 1), sep = ""),input$reps),sep = "")
vals$labelNames = setNames(out, out)
return(out)
})
output$setNames <- renderUI({
list(
h4("Add labels")
, selectInput("nameToChange", "Standard name to label"
, names(vals$labelNames))
, textInput("labelToAdd", "Label to apply")
, actionButton("makeLabel", "Set label")
)
})
observeEvent(input$makeLabel, {
vals$labelNames[input$nameToChange] <- input$labelToAdd
})
## output
output$testcols <- renderTable({
data.frame(
stdName = standardNames()
, label = vals$labelNames
)
})
})
shinyApp(ui = ui, server = server)