#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
data = read.csv("INVQUAD.csv")
head(data)
tt=t.test(INV.QUAD ~ PLANT,mu=0, data=data)
library(shiny)
library(s20x)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Example 8.13 pg 396"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("alpha",
"Error rate: as a percentage:",
min = 0,
max = 20,
value =5 ),
sliderInput("nr",
"Number of rows in the data:",
min = 1,
max = 100,
value =5 )
),
# Show a plot of the generated distribution
mainPanel(
tabsetPanel(
tabPanel("Boxplot", plotOutput("bxplt")),
tabPanel("QQNORM", plotOutput("qq")),
tabPanel("(1-alpha)100% CI", tableOutput("summary")),
tabPanel("Table", tableOutput("table"))
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
linear <- reactive({
obj= t.test(INV.QUAD ~ PLANT,conf.level=1-input$alpha/100,mu=0, data=data)
obj
})
output$bxplt <- renderPlot({
# generate bins based on input$bins from ui.R
plot(INV.QUAD ~ PLANT,
main=paste("Pvalue = ", round(linear()$p.value,4 )),
col = c("Blue","Green"),
data)
})
output$qq <-renderPlot({
with(data,normcheck(lm(INV.QUAD ~ PLANT),shapiro.wilk=TRUE))
})
output$summary <-renderText({
linear()$conf.int
})
output$table <- renderTable({
head(data, input$nr)
})
}
# Run the application
shinyApp(ui = ui, server = server)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.