I have a simple shiny-app with just a dropdown listing districts of Afghanistan and a leaflet map of the same.
The shape file can be accessed at this link - using AFG_adm2.shp from http://www.gadm.org/download
here's the app code:
library(shiny)
library(leaflet)
library(rgdal)
library(sp)
afg <- readOGR(dsn = "data", layer ="AFG_adm2", verbose = FALSE, stringsAsFactors = FALSE)
ui <- fluidPage(
titlePanel("Test App"),
selectInput("yours", choices = c("",afg$NAME_2), label = "Select Country:"),
actionButton("zoomer","reset zoom"),
leafletOutput("mymap")
)
server <- function(input, output){
initial_lat = 33.93
initial_lng = 67.71
initial_zoom = 5
output$mymap <- renderLeaflet({
leaflet(afg) %>% #addTiles() %>%
addPolylines(stroke=TRUE, color = "#00000", weight = 1)
})
proxy <- leafletProxy("mymap")
observe({
if(input$yours!=""){
#get the selected polygon and extract the label point
selected_polygon <- subset(afg,afg$NAME_2==input$yours)
polygon_labelPt <- selected_polygon#polygons[[1]]#labpt
#remove any previously highlighted polygon
proxy %>% removeShape("highlighted_polygon")
#center the view on the polygon
proxy %>% setView(lng=polygon_labelPt[1],lat=polygon_labelPt[2],zoom=7)
#add a slightly thicker red polygon on top of the selected one
proxy %>% addPolylines(stroke=TRUE, weight = 2,color="red",data=selected_polygon,layerId="highlighted_polygon")
}
})
observeEvent(input$zoomer, {
leafletProxy("mymap") %>% setView(lat = initial_lat, lng = initial_lng, zoom = initial_zoom) %>% removeShape("highlighted_polygon")
})
}
# Run the application
shinyApp(ui = ui, server = server)
EDIT: I'm actually trying to add an action button which resets zoom to a default value (using leafletproxy and setview) and I want to put this button on the top-right corner of the map instead of it being above the map.
Can I use addLayersControl to do this?
EDIT2:
Code in full-app:
# Create the map
output$mymap <- renderLeaflet({
leaflet(afg) %>% addTiles() %>%
addPolygons(fill = TRUE,
fillColor = ~factpal(acdf$WP_2012), #which color for which attribute
stroke = TRUE,
fillOpacity = 1, #how dark/saturation the fill color should be
color = "black", #color of attribute boundaries
weight = 1, #weight of attribute boundaies
smoothFactor = 1,
layerId = aid
#popup = ac_popup
) %>% addPolylines(stroke=TRUE, color = "#000000", weight = 1) %>%
addLegend("bottomleft", pal = factpal, values = ~WP_2012,
title = "Party",
opacity = 1
) %>% setView(lng = initial_lng, lat = initial_lat, zoom = initial_zoom) %>%
addControl(html = actionButton("zoomer1","Reset", icon = icon("arrows-alt")), position = "topright")
})
I can't see the map tiles from addTiles or the zoom reset button from addControl. Any ideas why this might be happening?
You can use the addControl function directly:
output$mymap <- renderLeaflet({
leaflet(afg) %>% #addTiles() %>%
addPolylines(stroke=TRUE, color = "#00000", weight = 1) %>%
addControl(actionButton("zoomer","Reset"),position="topright")
})
You can achieve this by using the shiny absolutePanel() function in your UI, E.g.
library(shiny)
library(leaflet)
library(rgdal)
library(sp)
afg <- readOGR(dsn = "data", layer ="AFG_adm2", verbose = FALSE, stringsAsFactors = FALSE)
ui <- fluidPage(
tags$head(
tags$style(
HTML(
'
.outer {
position: fixed;
top: 80px;
left: 0;
right: 0;
bottom: 0;
overflow: hidden;
padding: 0;
}
#controls-filters {
background-color: white;
border:none;
padding: 10px 10px 10px 10px;
z-index:150;
}
'
)
)
),
titlePanel("Test App"),
absolutePanel(
id = "controls-filters",
class = "panel panel-default",
fixed = TRUE,
draggable = TRUE,
top = 100,
left = "auto",
right = 20,
bottom = "auto",
width = 330,
height = "auto",
selectInput("yours", choices = c("", afg$NAME_2), label = "Select Country:"),
actionButton("zoomer", "reset zoom")
),
div(class = "outer", leafletOutput("mymap"))
)
server <- function(input, output){
initial_lat = 33.93
initial_lng = 67.71
initial_zoom = 5
output$mymap <- renderLeaflet({
leaflet(afg) %>% #addTiles() %>%
addPolylines(stroke=TRUE, color = "#00000", weight = 1)
})
proxy <- leafletProxy("mymap")
observe({
if(input$yours!=""){
#get the selected polygon and extract the label point
selected_polygon <- subset(afg,afg$NAME_2==input$yours)
polygon_labelPt <- selected_polygon#polygons[[1]]#labpt
#remove any previously highlighted polygon
proxy %>% removeShape("highlighted_polygon")
#center the view on the polygon
proxy %>% setView(lng=polygon_labelPt[1],lat=polygon_labelPt[2],zoom=7)
#add a slightly thicker red polygon on top of the selected one
proxy %>% addPolylines(stroke=TRUE, weight = 2,color="red",data=selected_polygon,layerId="highlighted_polygon")
}
})
observeEvent(input$zoomer, {
leafletProxy("mymap") %>% setView(lat = initial_lat, lng = initial_lng, zoom = initial_zoom) %>% removeShape("highlighted_polygon")
})
}
# Run the application
shinyApp(ui = ui, server = server)
This should get you started but I would recommend structuring your app in such a way that it has a stand alone CSS file.
Related
I am having a hard time understanding how the container argument from function VisNetwork::VisConfigure works. It seems as though one can move the configuration list in another HTML container but my understanding is too limited (and I found no examples online).
My goal would be to place the configuration list in a shinydashboardPlus::dropdownBlock (i.e., in the dashboardHeader leftUI argument), see reproducible example below:
library(shiny)
library(shinydashboard)
library(shinydashboardPlus)
library(visNetwork)
# Define the function to retrieve the parameters from VisConfigure
# See: https://github.com/datastorm-open/visNetwork/issues/333
visShinyGetOptionsFromConfigurator <- function (graph, input = paste0(graph$id, "_configurator")) {
if (!any(class(graph) %in% "visNetwork_Proxy")) {
stop("Can't use visGetPositions with visNetwork object. Only within shiny & using visNetworkProxy")
}
data <- list(id = graph$id, input = input)
graph$session$sendCustomMessage("visShinyGetOptionsFromConfigurator", data)
graph
}
ui <- dashboardPage(
dashboardHeader(title = "Test visConfigure container argument",
leftUi = tagList(
shinydashboardPlus::dropdownBlock(
id = "graphparams",
title = "Graph parameters",
icon = shiny::icon("gears"),
shinyWidgets::prettyRadioButtons(
inputId = "physics",
label = "Parameters should appear here",
choices = c("Yes","No"))))),
dashboardSidebar(width = 220),
dashboardBody(
fluidRow(box(id = "network",
title = "Network",
status = "primary",
width = 12,
solidHeader = TRUE,
collapsible = TRUE,
visNetworkOutput('network'))),
fluidRow(actionButton("ops", "Options"))))
server <- function(input, output, session) {
getDiagramPlot <- function(nodes, edges){
v <- visNetwork(
nodes,
edges) %>%
visIgraphLayout(layout = "layout_on_sphere", physics = TRUE, randomSeed = 1234) %>%
visPhysics(solver = "hierarchicalRepulsion",
hierarchicalRepulsion = list(springLength = 850, nodeDistance = 90),
stabilization = "onlyDynamicEdges") %>%
visOptions(highlightNearest = list(enabled = T, degree = 1, hover = F), autoResize = TRUE, collapse = FALSE) %>%
visEdges(color = list(highlight = "red")) %>%
visEdges(arrows = edges$arrows) %>%
visConfigure(enabled = TRUE, filter = "physics", container = NULL) %>%
visInteraction(multiselect = F)
return(v)
}
nodes <- data.frame(id = 0:20, label = LETTERS[1:21])
edges <- data.frame(from = 0, to = 1:20, value = seq(0.35, 0.5, length.out = 20))
output$network <- renderVisNetwork(
getDiagramPlot(nodes, edges)
)
# Send to console the settings from VisConfigure
# See: https://github.com/datastorm-open/visNetwork/issues/333
observeEvent(input$ops, { visNetworkProxy("network") %>% visShinyGetOptionsFromConfigurator() })
observe({ if(!is.null(input$network_configurator)) print(input$network_configurator)
})
session$onSessionEnded(stopApp)
}
shinyApp(ui, server)
Any idea?
Best,
C.
I tried to set container = input$graphparams but it didn't work.
Problem in centering table header in shiny, when centering my table the first column remains aligned to the left. How do I fix this? Just below I made available my CSS code. I'm in doubt as to how to align the first column of my table. I am also in doubt, if I called the CSS correctly in my code.
library(shiny)
library(dplyr)
bd= read.csv("bd.csv", sep = ";")
ui = fluidPage(
fixedRow(
column(12,
titlePanel("Tabelas"),
sidebarLayout(
sidebarPanel(selectInput("TABELA", "Selecione a Tabela:", choices = bd$TABELA),
downloadButton("downloadData", "Download")),
mainPanel(tags$link(
rel='stylesheet',
type='text/css',
href='custom.css'),
(tableOutput("bd")))
)
)
)
)
server = function(input, output) {
output$bd <- renderTable({
bd %>%
dplyr::filter(TABELA == input$TABELA)%>%
dplyr::select(LOCAL, ENTREVISTAS.PRE, ENTREVISTAS.POS, CITACOES.PRE, CITACOES.POS, PERCENT.PRE, PERCENT.POS)
}
)
output$downloadData <- downloadHandler(
filename = function() {
paste("bd-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(bd, file)
}
)
}
shinyApp(ui = ui, server = server)
.table.shiny-table>thead>tr>th,
.table.shiny-table>thead>tr>td,
.table.shiny-table>tbody>tr>th,
.table.shiny-table>tbody>tr>td,
.table.shiny-table>tfoot>tr>th,
.table.shiny-table>tfoot>tr>td {
padding-right: 12px;
padding-left: 12px;
font-size:80%;
text-align: center;
}
.table>caption+thead>tr:first-child>td,
.table>caption+thead>tr:first-child>th,
.table>colgroup+thead>tr:first-child>td,
.table>colgroup+thead>tr:first-child>th,
.table>thead:first-child>tr:first-child>td,
.table>thead:first-child>tr:first-child>th {
border-top: 0;
font-size:80%;
text-align: center;
}
What I like to do to format the table is to use the datatable function from the DT package.
I create a create_dt function with new variables to pass some values, which I use throughout the shiny application. I leave the format that I use in my tables, if you want to use it. There are many options to configure your table here.
create_dt <- function(x,y = NULL,z = NULL,w,v = NULL){
v <- if_else(is.null(v),TRUE,FALSE)
y <- if_else(is.null(y),16,y)
datatable(x,
rownames = FALSE,
class = "compact cell-border",
extensions = 'Buttons',
caption = z,
options = list(dom = 'rtB',
buttons = list(list(extend='excel',
filename = 'Nombre tabla',
text = '<i class="fas fa-download"></i>')),
pageLenght = y,
lengthMenu = list(c(y,25,50,-1),
c(y,25,50,"All")),
scrollX = TRUE,
initComplete = htmlwidgets::JS(
"function(settings, json) {",
"$(this.api().table().header()).css({'background-color': '#000', 'color': '#fff'});","}"),
columnDefs = list(list(className = 'dt-center', targets = '_all'))
),
container = w,
escape = v) %>%
formatStyle(columns = names(x),
color = "black",
fontSize = '8pt')
This is what my table looks like.
example of table
And this is how I apply the function with the data:
And the Ui part:
fluidRow(column(6,withSpinner(dataTableOutput("resume_tbl_entero",height = '100%'))))
The server part:
output$resume_tbl_entero <- renderDataTable(
{create_dt({React_ano_filter_general_entero() %>%
mutate(Resultado = str_to_sentence(Resultado)) %>%
pivot_wider(names_from = Resultado,values_from=Total)},
z = "Enterococcus")}
And the data used looks like this
I hope it serves you greetings!
I am trying with the below code.
library(shiny)
app <- shinyApp(
ui = fluidPage(
DT::dataTableOutput("mydatatable")
),
server = shinyServer(function(input, output, session) {
mycars <- reactive({ head(mtcars)})
output$mydatatable = DT::renderDataTable(mycars(), selection = 'single',
rownames = FALSE, options = list(dom = 't'))
selected_row <- reactiveVal(value = NULL)
observeEvent(input$mydatatable_rows_selected,{
selected_row(input$mydatatable_rows_selected)
})
observeEvent(selected_row(),
{
showModal(modalDialog(
title = "You have selected a row!",
ifelse(
mycars()$mpg[selected_row()] > 21,
tags$div(HTML(paste('cyl = ', tags$span(style = "color:red", mycars()$cyl[selected_row()]), sep = ""))),
tags$div(HTML(paste('cyl = ', tags$span(style = "color:blue", mycars()$cyl[selected_row()]), sep = "")))
)
))
})
})
)
app
Here I am trying to change color of 'cyl' value to red if 'mpg' value is greater than 21 else 'cyl' value will print in blue.
I have tried with few html codes but failed.
Thanks!
For this purpose the dataframe does not have to be reactive, so I removed that part in here. Make use of the formatStyle functionality:
app <- shinyApp(
ui = fluidPage(
DT::dataTableOutput("mydatatable")
),
server = shinyServer(function(input, output, session) {
mycars <- mtcars
output$mydatatable = DT::renderDataTable(datatable(mycars) %>%
formatStyle('cyl', 'mpg',
color = styleInterval(21.001, c('blue', 'red'))),
selection = 'single',
rownames = FALSE, options = list(dom = 't'))
})
)
app
I am learning how to use images as radiobuttons.
I found this page and have been playing around with it:
Can you have an image as a radioButton choice in shiny?
The answer here has been very useful but the app doesn't load the Rlogo for the radiobutton (when using the second part of the answer using the functions). I have saved the image into a www file. I have tried different variations of writing the line '<img src="Rlogo.png">' = 'logo' like removing the quotations, replacing it with img(src='Rlogo.png') = 'logo' , replace it with the web link, but have been unsuccessful. Please can someone point out where I am going wrong or if the original code works for you!
logo is here: http://i1.wp.com/www.r-bloggers.com/wp-content/uploads/2016/02/Rlogo.png?resize=300%2C263
code is copied over from the page:
library(shiny)
radioButtons_withHTML <- function (inputId, label, choices, selected = NULL, inline = FALSE,
width = NULL)
{
choices <- shiny:::choicesWithNames(choices)
selected <- if (is.null(selected))
choices[[1]]
else {
shiny:::validateSelected(selected, choices, inputId)
}
if (length(selected) > 1)
stop("The 'selected' argument must be of length 1")
options <- generateOptions_withHTML(inputId, choices, selected, inline,
type = "radio")
divClass <- "form-group shiny-input-radiogroup shiny-input-container"
if (inline)
divClass <- paste(divClass, "shiny-input-container-inline")
tags$div(id = inputId, style = if (!is.null(width))
paste0("width: ", validateCssUnit(width), ";"), class = divClass,
shiny:::controlLabel(inputId, label), options)
}
generateOptions_withHTML <- function (inputId, choices, selected, inline, type = "checkbox")
{
options <- mapply(choices, names(choices), FUN = function(value,
name) {
inputTag <- tags$input(type = type, name = inputId, value = value)
if (value %in% selected)
inputTag$attribs$checked <- "checked"
if (inline) {
tags$label(class = paste0(type, "-inline"), inputTag,
tags$span(HTML(name)))
}
else {
tags$div(class = type, tags$label(inputTag, tags$span(HTML(name))))
}
}, SIMPLIFY = FALSE, USE.NAMES = FALSE)
div(class = "shiny-options-group", options)
}
choices <- c('\\( e^{i \\pi} + 1 = 0 \\)' = 'equation',
'<img src="Rlogo.png">' = 'logo')
ui <- shinyUI(fluidPage(
withMathJax(),
img(src='Rlogo.png'),
fluidRow(column(width=12,
radioButtons('test', 'Radio buttons with MathJax choices',
choices = choices, inline = TRUE),
br(),
h3(textOutput('selected'))
))
))
server <- shinyServer(function(input, output) {
output$selected <- renderText({
paste0('You selected the ', input$test)
})
})
shinyApp(ui = ui, server = server)
Here is a way.
library(shiny)
radioImages <- function(inputId, images, values){
radios <- lapply(
seq_along(images),
function(i) {
id <- paste0(inputId, i)
tagList(
tags$input(
type = "radio",
name = inputId,
id = id,
class = "input-hidden",
value = as.character(values[i])
),
tags$label(
`for` = id,
tags$img(
src = images[i]
)
)
)
}
)
do.call(
function(...) div(..., class = "shiny-input-radiogroup", id = inputId),
radios
)
}
css <- HTML(
".input-hidden {",
" position: absolute;",
" left: -9999px;",
"}",
"input[type=radio] + label>img {",
" width: 50px;",
" height: 50px;",
" transition: 500ms all;",
"}",
"input[type=radio]:checked + label>img {",
" border: 1px solid #fff;",
" box-shadow: 0 0 3px 3px #090;",
" transform: rotateZ(-10deg) rotateX(10deg);",
"}"
)
ui <- fluidPage(
tags$head(tags$style(css)),
br(),
wellPanel(
tags$label("Choose a language:"),
radioImages(
"radio",
images = c("java.svg", "javascript.svg", "julia.svg"),
values = c("java", "javascript", "julia")
)
),
verbatimTextOutput("language")
)
server <- function(input, output, session){
output[["language"]] <- renderPrint({
input[["radio"]]
})
}
shinyApp(ui, server)
Credit.
This will also work:
library(shiny)
library(shinyWidgets)
ui <- shinyUI(fluidPage(
withMathJax(),
tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "style.css")),
fluidRow(column(width=12,
radioGroupButtons('test', 'Radio buttons with MathJax choices',
choiceNames = c('\\( e^{i \\pi} + 1 = 0 \\)',
'<i class="icon_rlogo"></i>'),
choiceValues = c('equation', 'logo')),
br(),
h3(textOutput('selected'))
))
))
server <- shinyServer(function(input, output) {
output$selected <- renderText({
paste0('You selected the ', input$test)
})
})
shinyApp(ui = ui, server = server)
With in your www folder your Rlogo.png image and a style.css file with:
.icon_rlogo {background: url(Rlogo.png) no-repeat center;
background-size: contain;
display: inline-block;
width: 30px;
height: 20px;}
To be customised as you wish.
I have generated few plots using plotly and saved them as offline html (I don't want to generate them live as it would take so long to generate them in the background). The followings are the two plots taken from plotly site and I saved them as html.
#Graph 1
Animals <- c("giraffes", "orangutans", "monkeys")
SF_Zoo <- c(20, 14, 23)
LA_Zoo <- c(12, 18, 29)
data <- data.frame(Animals, SF_Zoo, LA_Zoo)
p <- plot_ly(data, x = ~Animals, y = ~SF_Zoo, type = 'bar', name = 'SF Zoo') %>%
add_trace(y = ~LA_Zoo, name = 'LA Zoo') %>%
layout(yaxis = list(title = 'Count'), barmode = 'group')
htmlwidgets::saveWidget(p, file="zoo.html")
#Graph 2
x <- c('Product A', 'Product B', 'Product C')
y <- c(20, 14, 23)
text <- c('27% market share', '24% market share', '19% market share')
data <- data.frame(x, y, text)
p <- plot_ly(data, x = ~x, y = ~y, type = 'bar', text = text,
marker = list(color = 'rgb(158,202,225)',
line = list(color = 'rgb(8,48,107)',
width = 1.5))) %>%
layout(title = "January 2013 Sales Report",
xaxis = list(title = ""),
yaxis = list(title = ""))
htmlwidgets::saveWidget(p, file="product.html")
I have written some shiny codes that can show html output from Rmarkdown but not the html that i generated from plotly above. Note that the first choice(sample) in the selectInput() is what I generated from default Rmarkdown html and that works. I also generated multiple rmarkdown html and I could also switch between htmls in the shiny app but not for plotly html.
ui= fluidPage(
titlePanel("opening web pages"),
sidebarPanel(
selectInput(inputId='test',label=1,choices=c("sample","zoo","product"))
),
mainPanel(
htmlOutput("inc")
)
)
server = function(input, output) {
getPage<-function() {
return(includeHTML(paste0("file:///C:/Users/home/Documents/",input$test,".html")))
}
output$inc<-renderUI({getPage()})
}
shinyApp(ui, server)
You can use an iframe for this - also have a look at addResourcePath:
ui = fluidPage(
titlePanel("opening web pages"),
sidebarPanel(selectInput(
inputId = 'test',
label = 1,
choices = c("sample", "zoo", "product")
)),
mainPanel(htmlOutput("inc"))
)
server = function(input, output) {
myhtmlfilepath <- getwd() # change to your path
addResourcePath('myhtmlfiles', myhtmlfilepath)
getPage <- function() {
return(tags$iframe(src = paste0("myhtmlfiles/", input$test, ".html"), height = "100%", width = "100%", scrolling = "yes"))
}
output$inc <- renderUI({
req(input$test)
getPage()
})
}
shinyApp(ui, server)