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Plot dmeminfo trace using Shiny
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| # Plot the meminfo graph | |
| library(shiny) | |
| options(shiny.maxRequestSize=30*1024^2) | |
| # Define UI | |
| ui <- fluidPage( | |
| # Application title | |
| titlePanel("Plot meminfo Time Series Data"), | |
| sidebarLayout( | |
| sidebarPanel( | |
| fileInput("file1", | |
| "Select CSV file", | |
| accept = c( | |
| "text/csv", | |
| "text/comma-separated-values,text/plain", | |
| ".csv") | |
| ), | |
| tags$hr(), | |
| checkboxInput("header", "File Has Header: ", TRUE), | |
| textInput("skip", "Number of lines to skip: ", value = 0), | |
| tags$hr(), | |
| sliderInput("samples", | |
| "Number of samples per min:", | |
| min = 1, | |
| max = 60, | |
| value = 60), | |
| tags$hr(), | |
| uiOutput("start"), | |
| uiOutput("colSelect") | |
| ), | |
| mainPanel( | |
| plotOutput("timePlot") | |
| ) | |
| ) | |
| ) | |
| # Define server logic required to draw the line graph | |
| server <- function(input, output) { | |
| observe({ | |
| req(input$file1) | |
| data <- read.csv(input$file1$datapath, header = input$header, skip = input$skip, as.is = TRUE) | |
| selRows <- 60 / input$samples | |
| output$colSelect <- renderUI({ | |
| colNames <- names(data) | |
| #colNames <- colNames[-1] | |
| selectInput("colSel", "Choose Column", colNames, selected = "MemFree") | |
| }) | |
| output$timePlot <- renderPlot({ | |
| data.new <- data[seq(1, nrow(data), selRows), ] | |
| plot(data.new[,input$colSel], ylab = names(data.new[input$colSel]), type = "l") | |
| }) | |
| }) | |
| } | |
| # Run the application | |
| shinyApp(ui = ui, server = server) |
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