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library(shiny) | |
css <- local({ | |
cssRules <- function(rules) { | |
paste( | |
' ', | |
gsub('.', '-', names(rules), fixed = TRUE), | |
': ', | |
rules, | |
';', |
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Type: Shiny | |
DisplayMode: Showcase | |
Title: Selectize vs. Select comparison |
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shinyServer(function(input, output, session) { | |
updateSelectInput(session, 'foo', choices=1:11) | |
}) |
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library(dplyr) | |
allzips <- readRDS("data/superzip.rds") | |
allzips$latitude <- jitter(allzips$latitude) | |
allzips$longitude <- jitter(allzips$longitude) | |
allzips$college <- allzips$college * 100 | |
allzips$zipcode <- formatC(allzips$zipcode, width=5, format="d", flag="0") | |
row.names(allzips) <- allzips$zipcode | |
cleantable <- allzips %.% |
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Title: Telephones by region | |
Author: Jeff Allen <jeff@rstudio.com> | |
AuthorUrl: http://www.rstudio.com/ | |
License: MIT | |
DisplayMode: Showcase | |
Tags: sidebarlayout helptext selectinput | |
Type: Shiny |
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# Define a dataset globally which will be available | |
# both to the UI and to the server. | |
# Rely on the 'WorldPhones' dataset in the datasets | |
# package (which generally comes preloaded). | |
library(datasets) | |
# Trim out the non-consecutive year from |
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Title: Dynamic Clustering | |
Author: Jeff Allen <jeff@rstudio.com> | |
AuthorUrl: http://www.rstudio.com/ | |
License: MIT | |
DisplayMode: Showcase | |
Tags: mclust clustering clickid observe isolate | |
Type: Shiny |
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Title: Basic DataTable | |
Author: Jeff Allen <jeff@rstudio.com> | |
AuthorUrl: http://www.rstudio.com/ | |
License: MIT | |
DisplayMode: Showcase | |
Tags: mtcars selectinput datatables | |
Type: Shiny |
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library(shinyIncubator) | |
shinyServer(function(input, output, session) { | |
output$plot <- renderPlot({ | |
if (input$go == 0) | |
return() | |
# Wrap the entire expensive operation with withProgress | |
withProgress(session, { | |
setProgress(message = "Calculating, please wait", |
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shinyServer(function(input, output, session) { | |
output$plot <- renderPlot({ | |
plot(cars, type=input$plotType) | |
}) | |
output$summary <- renderPrint({ | |
summary(cars) | |
}) | |
output$table <- renderDataTable({ |
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