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ui.R
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# A web app to perform Bayesian A/B Testing
# Qiaolin Chen
#-------------------------------------------------------------------------
library(shinydashboard)
sidebar <- dashboardSidebar(
hr(),
sidebarMenu(id="tabs",
menuItem("Bayesian A/B Test", tabName="plot", icon=icon("line-chart"), selected=TRUE),
menuItem("A/B Test on simulated data", tabName = "simulate", icon=icon("table")),
menuItem("Upload and Analyze Data", tabName = "table", icon=icon("dashboard")),
menuItem("Jupyter Notebook", tabName = "readme", icon=icon("mortar-board")),
menuItem("Codes", icon = icon("file-text-o"),
menuSubItem("ui.R", tabName = "ui", icon = icon("angle-right")),
menuSubItem("server.R", tabName = "server", icon = icon("angle-right")),
menuSubItem("functions.R", tabName = "functions", icon = icon("angle-right"))
)
),
hr(),
conditionalPanel(condition = "input.tabs in c('plot','simulate','table') " ,
fluidRow(
column(1),
column(10,
selectInput(inputId ="Conf_alpha", label = "Confidence Level",
choices =list("90%" = 0.1, "95%" = 0.05 , "99%" = 0.01 ),
selected = 0.1 )
)
)
)
)
#-----------------------------------------------------------------------------------------
body <- dashboardBody(
tabItems(
tabItem(tabName = "readme",
withMathJax(),
includeMarkdown("Juypter_notebook/Bayesian_AB_testing.md")
#includeHTML("Bayesian_AB_testing.html")
),
#------------------------------------------------------------------------------------
tabItem(tabName = "plot",
box( width = NULL, solidHeader = TRUE, collapsible = TRUE, status = "primary",
title="Input Test Data and Prior Parameters",
fluidRow( column(3,
numericInput(inputId = "nA",min = 0, step=1,
label = "Users A:", value = 110 ),
numericInput(inputId = "nB", min = 0, step=1,
label = "Users B:", value = 90)
),
column(3,
numericInput(inputId = "xA", min = 0, step=1,
label = "Conversions A:", value = 20),
numericInput(inputId = "xB", min = 0, step=1,
label = "Conversions B:", value = 29)
) ,
column(3,
numericInput(inputId = "alpha_0", min = 0, step=0.1,
label = "alpha:", value = 1),
numericInput(inputId = "beta_0", min = 0, step=0.1,
label = "beta:", value = 1)
)
)
#, submitButton("Perform A/B Test")
),
box( width = NULL, tableOutput("single_ABtest"),
collapsible = TRUE,
title = "Bayesian A/B Test Results", status = "primary", solidHeader = TRUE),
box( width = NULL,
plotOutput("ABtest_density",height="400px"),
fluidRow(
column(6 , plotOutput("ABtest_change_density",height="350px") ),
column(6, plotOutput("ABtest_bestProb",height="300px") )
),
collapsible = TRUE,
title = "Prior and Posterior density", status = "primary", solidHeader = TRUE)
),
#------------------------------------------------------------------------------------
tabItem(tabName = "simulate", #headerPanel("A/B Test Analysis"),
fluidRow(
column(width = 3,
box( width = NULL, solidHeader = TRUE,
title="Set True Values for Simulation",
#submitButton("Simulate Data"),
br(),
sliderInput( inputId = "pA",
label = "Test 0 Convertion Rate (%):", value = 2,
min = 0, max = 100, step= 0.5),
sliderInput( inputId = "pB",
label = "Test 1 Convertion Rate (%):", value = 4,
min = 0, max = 100, step= 0.5),
sliderInput( inputId = "pC",
label = "Test 2 Convertion Rate (%):", value = 2.3,
min = 0, max = 100, step= 0.5),
#sliderInput( inputId = "pD",
# label = "Test D Convertion Rate (%):", value = 0,
# min = 0, max = 100, step= 1),
sliderInput( "counts",
label = "Total users for each test:",
min = 500, max = 20000, value = 5000, step= 1),
sliderInput( "test_duration",
label = "Duration of tests:",
min = 10, max = 100, value = 60, step= 1),
h5("Beta Prior Parameters"),
fluidRow(
column(width = 5,
numericInput(inputId = "alpha_0_sim", label = "alpha:",
value = 1.0, min = 0, step=0.1 )
),
column(width = 5,
numericInput(inputId = "beta_0_sim", label = "beta:",
value = 1.0, min = 0, step=0.1 )
)
),
dateInput('start_date',
label = 'Start Date input: yyyy-mm-dd',
value = Sys.Date()
)#,
#br(),br(),
#downloadButton('downloadTable', 'Download raw data'),
#br(),br(),
#tableOutput("table1"),
#downloadButton('downloadTable1', 'Download analyzed data'),
#br(),br(),
#tableOutput("table2")
)),
#------------------------------------------------------------------------------
column(width = 9 ,
box( width = NULL, tableOutput('sim_data'),
collapsible = TRUE, collapsed = TRUE,
title = 'Data Simulated', status = "primary", solidHeader = TRUE),
#--------------------------------------------------------------------
box( width = NULL, tableOutput('Conv_change'),
collapsible = TRUE, collapsed = TRUE,
title = 'Data Computed - Conversion Rate Change', status = "primary", solidHeader = TRUE),
#box( width = NULL, plotOutput('hist') ,
# collapsible = TRUE,
# title = 'Histogram', status = "primary", solidHeader = TRUE),
box( width = NULL, collapsible = TRUE,status = "primary",
title = "Conversion Rate Change Over time", solidHeader = TRUE,
tabsetPanel(
#tabPanel("Bayesian-Change", plotOutput("B2", height="400px") ) ,
#tabPanel("Frequentist-Change", plotOutput("F2", height="400px") ),
#tabPanel("Bayesian-Rate",plotOutput("B1", height="400px") ),
#tabPanel("Frequentist-Rate", plotOutput("F1", height="400px") )
tabPanel("Bayesian-Change", plotOutput("Bayesian_change_plot", height="400px") ) ,
tabPanel("Frequentist-Change", plotOutput("Freq_change_plot", height="400px") ),
tabPanel("Bayesian-Rate",plotOutput("Bayesian_group_plot", height="400px") ),
tabPanel("Frequentist-Rate", plotOutput("Freq_group_plot", height="400px") )
)
),
box( width = NULL, collapsible = TRUE,status = "primary",
title = "A/B Test Plots", solidHeader = TRUE,
tabsetPanel(
tabPanel("Bayes Factor", plotOutput("plot1", height="400px") ) ,
tabPanel("p-value", plotOutput("plot2", height="400px") ),
tabPanel("Uplift",plotOutput("plot3", height="400px") ),
tabPanel("Prob of better than default", plotOutput("plot4", height="400px") )
#tabPanel("Bayes Factor", plotOutput("BF_plot", height="400px") ) ,
#tabPanel("p-value", plotOutput("pval_plot", height="400px") ),
#tabPanel("Uplift",plotOutput("Uplift_plot", height="400px") ),
#tabPanel("Prob of better than default", plotOutput("prob_better_plot", height="400px") )
)
)
)
)
),
tabItem(tabName = "table",
box( width = NULL, status = "primary", solidHeader = TRUE,
title="Upload and analyze A/B test data",
# Sidebar with controls to provide a caption, select a dataset,
# and specify the number of observations to view. Note that
# changes made to the caption in the textInput control are
# updated in the output area immediately as you type
#h3(textOutput("caption", container = span)),
# verbatimTextOutput("summary"),
# make a file upload manager
h5("Upload a CSV file with 3 columns: Test_group (0,1,...), Date (YYYY-MM-DD), and Convert (1=yes, 0=No)."),
h5("If no data upload, an example data set will be plot and analyzed."),
fileInput("upload_raw_data", "Choose CSV File",
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv")
),
fluidRow( column(3, h5("Input parameters for Beta prior: ")
),
column(2,
numericInput(inputId = "alpha_0_upload", min = 0, step=0.1,
label = "alpha:", value = 1)
) ,
column(2,
numericInput(inputId = "beta_0_upload", min = 0, step=0.1,
label = "beta:", value = 1)
)
),
#submitButton("Upload and Perform A/B Test"),
hr(),
box( width = NULL, tableOutput('upload_data'),
collapsible = TRUE, collapsed = TRUE,
title = 'Data Uploaded and Converted', status = "primary", solidHeader = TRUE),
#--------------------------------------------------------------------
box( width = NULL, tableOutput('upload_change'),
collapsible = TRUE, collapsed = TRUE,
title = 'Conversion Rate Change', status = "primary", solidHeader = TRUE),
#box( width = NULL, plotOutput('hist') ,
# collapsible = TRUE,
# title = 'Histogram', status = "primary", solidHeader = TRUE),
box( width = NULL, collapsible = TRUE,status = "primary",
#collapsed = TRUE,
title = "Conversion Rate Change Over time", solidHeader = TRUE,
tabsetPanel(
tabPanel("Bayesian-Change", plotOutput("B2u", height="400px") ) ,
tabPanel("Frequentist-Change", plotOutput("F2u", height="400px") ),
tabPanel("Bayesian-Rate",plotOutput("B1u", height="400px") ),
tabPanel("Frequentist-Rate", plotOutput("F1u", height="400px") )
)
),
box( width = NULL, collapsible = TRUE,status = "primary",
#collapsed = TRUE,
title = "A/B Test Plots", solidHeader = TRUE,
tabsetPanel(
tabPanel("Bayes Factor", plotOutput("plot1u", height="400px") ) ,
tabPanel("p-value", plotOutput("plot2u", height="400px") ),
tabPanel("Uplift",plotOutput("plot3u", height="400px") ),
tabPanel("Prob of better than default", plotOutput("plot4u", height="400px") )
)
)
)
),
#------------------------------------------------------------------------------------
tabItem(tabName = "functions",
box( width = NULL, status = "primary", solidHeader = TRUE, title="functions.R",
#downloadButton('downloadFunction', 'Download'),
br(),br(),
pre(includeText("functions.R"))
)
),
tabItem(tabName = "ui",
box( width = NULL, status = "primary", solidHeader = TRUE, title="ui.R",
#downloadButton('downloadUi', 'Download'),
br(),br(),
pre(includeText("ui.R"))
)
),
tabItem(tabName = "server",
box( width = NULL, status = "primary", solidHeader = TRUE, title="server.R",
#downloadButton('downloadServer', 'Download'),
br(),br(),
pre(includeText("server.R"))
)
)
)
)
#------------------------------------------------------------------------------------
dashboardPage(
dashboardHeader(title = "Bayesian A/B Test"),
sidebar,
body
)