library(shiny)
library(arules)
Define server logic required to draw a histogram
shinyServer(function(input, output) {
output$mba <- renderPrint({
tr <- read.transactions('market_basket_Apr.csv', format = 'basket', sep=',')
rules <- apriori(tr , parameter = list(support=as.numeric(input$sup)), confidence =as.numeric(input$con))
inspect(rules)
})
}) #server_Side
library(shiny)
Define UI for application that draws a histogram
shinyUI(fluidPage(
titlePanel("FYP"),
sidebarLayout(
sidebarPanel(
select.list("sup", "Select desired Support Value", choices = c(.1,.01,.001,.0001,.005)),
select.list("con", "Select desired Confidence Value", choices = c(.5,.6,.7,.8,.9))
),
# Show a plot of the generated distribution
mainPanel(
verbatimTextOutput("mba")
)
)
)) #UI_Side