Nothing
# Shiny ui for ANOVA
library(shiny)
library(ggplot2)
source('global.R')
# Define UI for the application
shinyUI(pageWithSidebar(
# Application title
headerPanel(title = div(img(src='abacus.png', align = 'left'),
"Hypothesis Testing: One-way Analysis of Variance"),
windowTitle = "Hypothesis Testing: One-way Analysis of Variance"),
sidebarPanel(
tags$hr(style="border-color: purple;"),
tags$p(style="color:blue", tags$strong("Simulation Features")),
tags$hr(style="border-color: purple;"),
checkboxInput(inputId = 'chkUpdate',
label = tags$strong('Check the box to update instantly',
style="color:darkblue"),
value = FALSE, width = '100%'),
actionButton(inputId = 'cmdUpdate', label = 'Update'),
tags$hr(style="border-color: green;"),
numericInput(inputId = 'numRN',
label = tags$p('Seed value for generating the random number',
style="color:darkblue"),
value = 12345, min = 1),
tags$hr(style="border-color: purple;"),
tags$p(style="color:blue", tags$strong("Population Parameters")),
tags$hr(style="border-color: purple;"),
numericInput(inputId = 'pmean1',
label = tags$strong('True Population 1 Mean: ',
HTML("μ<sub>1"), style="color:darkblue"),
value = 20),
numericInput(inputId = 'pmean2',
label = tags$strong('True Population 2 Mean: ',
HTML("μ<sub>2"), style="color:darkblue"),
value = 18),
numericInput(inputId = 'pmean3',
label = tags$strong('True Population 3 Mean: ',
HTML("μ<sub>3"), style="color:darkblue"),
value = 19),
tags$hr(style='border-color: green;'),
numericInput(inputId = 'psd',
label = tags$strong('True Population Standard Deviation: ',
HTML("σ"), style="color:darkblue"),
value = 2, min = 1),
tags$hr(style="border-color: purple;"),
tags$p(style="color:blue", tags$strong("Sample Characteristics")),
tags$hr(style="border-color: purple;"),
sliderInput(inputId = 'n1',
label = tags$strong('Sample 1 (Group 1) Size: ',
HTML("n<sub>1"), style="color:darkblue"),
min = 10, max = 50, value = 15, step = 1),
sliderInput(inputId = 'n2',
label = tags$strong('Sample 2 (Group 2) Size: ',
HTML("n<sub>2"), style="color:darkblue"),
min = 10, max = 50, value = 20, step = 1),
sliderInput(inputId = 'n3',
label = tags$strong('Sample 3 (Group 3) Size: ',
HTML("n<sub>3"), style="color:darkblue"),
min = 10, max = 50, value = 20, step = 1),
tags$hr(style="border-color: purple;"),
tags$p(style="color:blue", tags$strong("Distribution Function")),
tags$hr(style="border-color: purple;"),
sliderInput(inputId = 'p',
label = tags$strong('Type 1 Error', style="color:darkblue"),
value = 0.05, min = 0.01, max = 0.10, step = 0.01),
radioButtons(inputId = 'p_tail',
label = tags$strong('Probability Tail', style="color:darkblue"),
choices = c('Lower tail (Left tail)' = 'lower',
'Upper tail (Right tail)' = 'upper'),
selected = 'upper'),
tags$hr(style="border-color: purple;")
),
mainPanel(
tabsetPanel(
tabPanel(title = 'Population',
plotOutput(outputId = 'dnorm_plot', height = '800')),
tabPanel(title = 'Sample',
plotOutput(outputId = 'dotplot', height = '400'),
plotOutput(outputId = 'boxplot', height = '400')),
tabPanel(title = 'SS & MS',
plotOutput(outputId = 'ss_plot', height = '300'),
plotOutput(outputId = 'ss_stack', height = '300'),
plotOutput(outputId = 'ms_plot', height = '200')),
tabPanel(title = 'Test Statistic',
plotOutput(outputId = 'mdiff_plot1', height = '200'),
plotOutput(outputId = 'df_plot1', height = '600')),
tabPanel(title = 'Summary',
h1("Hypothesis"),
uiOutput('H', height = '20px'),
tags$hr(style="border-color: purple;"),
h2("Sample"),
tableOutput(outputId = 'dt_sample'),
tags$hr(style="border-color: purple;"),
tags$hr(style="border-color: purple;"),
h2("Summary Statistics"),
tableOutput(outputId = 'dt_sstat'),
tags$hr(style="border-color: purple;"),
h2("Model Outputs"),
verbatimTextOutput(outputId = 'txt_rst'),
tags$head(tags$style("#txt_rst{overflow-y:scroll; height: 300px;}")),
tags$hr(style="border-color: purple;"))
)
)
))
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