Created
November 29, 2017 18:03
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shiny_App_Tutorial
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| library(shiny) | |
| library(ggplot2) | |
| shinyServer(function(input, output) { | |
| dataset=reactive(iris[(iris$Sepal.Length>=input$Sepal.Length[1] & iris$Sepal.Length<=input$Sepal.Length[2]& | |
| iris$Sepal.Width>=input$Sepal.Width[1] & iris$Sepal.Width<=input$Sepal.Width[2]& | |
| iris$Petal.Length>=input$Petal.Length[1] & iris$Petal.Length<=input$Petal.Length[2]& | |
| iris$Petal.Width>=input$Petal.Width[1] & iris$Petal.Width<=input$Petal.Width[2]),]) | |
| output$subsetdata <- renderDataTable( | |
| dataset(),options=list(pageLength=10)) | |
| output$summary <- renderPrint( | |
| summary(dataset()) | |
| ) | |
| output$scatterplot=renderPlot(ggplot(dataset(),aes_string(x=input$xvar, y=input$yvar,color="Species"))+ geom_point()+ | |
| ggtitle("Scatter Plot") | |
| ) | |
| output$boxplot=renderPlot(ggplot(dataset(),aes_string(x="Species",y=input$dvar))+ geom_boxplot()+ | |
| ggtitle("Box Plot") | |
| ) | |
| }) | |
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| library(shiny) | |
| shinyUI(fluidPage( | |
| fluidRow( | |
| tags$h2("Building a Shiny App"), | |
| column(4, | |
| h3("Subsetting the iris data"), | |
| p("Slide to select range of values. Default position of sliders cover the entire range of these variables"), | |
| sliderInput("Sepal.Length", label = "Sepal.Length", min = min(iris$Sepal.Length), | |
| max = max(iris$Sepal.Length),value=c(min(iris$Sepal.Length),max(iris$Sepal.Length))), | |
| sliderInput("Sepal.Width", label = "Sepal.Width", min = min(iris$Sepal.Width), | |
| max = max(iris$Sepal.Width), value = c(min(iris$Sepal.Width),max(iris$Sepal.Width)))), | |
| column(3, | |
| sliderInput("Petal.Length", label = "Petal.Length", min = min(iris$Petal.Length), | |
| max = max(iris$Petal.Length), value = c(min(iris$Petal.Length),max(iris$Petal.Length))), | |
| sliderInput("Petal.Width", label = "Petal.Width", min = min(iris$Petal.Width), | |
| max = max(iris$Petal.Width), value = c(min(iris$Petal.Width),max(iris$Petal.Width)))), | |
| column(5, | |
| fluidRow( | |
| column(6, | |
| h3("Inputs for scatter plot"), | |
| selectInput("xvar", "x-variable:", choices=names(iris[,-5])), | |
| selectInput("yvar", "y-variable:", choices=names(iris[,-5]),selected = names(iris[2])) | |
| ), | |
| column(6, | |
| h3("Input for box plot"), | |
| selectInput("dvar", "Distribution of which variable for box plot?", choices=names(iris[,-5]),selected = names(iris[3]))#, | |
| # submitButton("Update View", icon("refresh"))) | |
| ) | |
| ))), | |
| fluidRow( | |
| column(3, | |
| HTML("<h5>Summary of Subsetted Data</h5>"), | |
| verbatimTextOutput("summary") | |
| ), | |
| column(4, | |
| HTML("<br><br><h5>Data</h5>"), | |
| dataTableOutput(outputId="subsetdata")), | |
| column(5, | |
| fluidRow( | |
| column(6,plotOutput("scatterplot") ), | |
| column(6,plotOutput("boxplot")) ) | |
| ) | |
| ) | |
| )) |
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