In this project we were required to write a shiny application with associated supporting documentation. This documentation should be thought of as whatever a user will need to get started using this application.
Aug 23,2017
In this project we were required to write a shiny application with associated supporting documentation. This documentation should be thought of as whatever a user will need to get started using this application.
library(shiny)
shinyServer(function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R #hist(rnorm(input$obs)) x <- quakes$depth[quakes$mag>input$obs-0.3 & quakes$mag<input$obs+0.3] #bins <- seq(min(x), max(x), length.out = input$bins + 1) # draw the histogram with the specified number of bins #hist(x, breaks = bins, col = 'darkgray', border = 'white') plot(x,pch=22, lty=2, col="red",xlab = "Depth in KM",ylab = "",main = "Richter Magnitude VS Depth(KM)")
})
})
library(shiny)
shinyUI(fluidPage(
# Application title titlePanel("Scatter Plot for Impact of earthquake to surrounding area."),
# Sidebar with a slider input for number of Cylinders sidebarLayout( sidebarPanel(
sliderInput("obs", "Block:",
min = min(quakes$mag), max = max(quakes$mag),step = 0.3, value = mean(quakes$mag)
)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
) ))