library(shiny)
source("ggScatterPlotModule.R")
source("plotlyScatterPlotModule.R")
source("messageBoxModule.R")
source("dataTableModule.R")
#----------------------------------------------------------------------------------------------------
ui <- fluidPage(
div(plotlyScatterPlotUI(id="plotlyWidget"),
style="margin: 50px; padding: 10px; padding-right: 20px; border: 3px solid black; border-radius: 10px;"),
messageBoxUI("plotlySelectionMessageBoxModule", title="point names"),
div(ggScatterPlotUI("plot1"),
style="margin: 50px; padding: 10px; padding-right: 20px; border: 3px solid black; border-radius: 10px;"),
messageBoxUI("rowNumbersMessageBoxModule", title="row numbers"),
messageBoxUI("rowNamesMessageBoxModule", title="row names"),
div(dataTableUI("table"),
style="margin: 20px; padding: 10px; border: 3px solid black; border-radius: 10px;"),
messageBoxUI("tableSelectionMessageBoxModule", title="table")
)
server <- function(input, output, session){
cols.top <- c("mpg", "disp")
plotlyValues <- callModule(plotlyScatterPlotServer,
id="plotlyWidget",
plotTitle="Growth of Loblolly pine trees",
xAxisLabel="age",
yAxisLabel="height",
tbl.data=Loblolly[, 1:2],
colnames=c("age", "height"))
# c("body", "brain"))
# plotTitle="Average brain and body weights <br>for 28 species of land animals",
# xAxisLabel="Body Weight (kg)",
# yAxisLabel="Brain Weight (g)",
# tbl.data=Animals,
# c("body", "brain"))
plotterSelectionList <- callModule(ggScatterPlotServer, "plot1",
plotTitle="vanilla ggplot",
data=mtcars,
reactive(cols.top))
callModule(messageBoxServer, "plotlySelectionMessageBoxModule", newContent=plotlyValues[[1]])
callModule(messageBoxServer, "rowNumbersMessageBoxModule", newContent=plotterSelectionList$rows)
callModule(messageBoxServer, "rowNamesMessageBoxModule", newContent=plotterSelectionList$names)
tableSelectionList <- callModule(dataTableServer, "table", tbl=mtcars)
callModule(messageBoxServer, "tableSelectionMessageBoxModule", newContent=tableSelectionList)
}
runApp(shinyApp(ui, server), port=9088)
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