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# Hypothesis Testing of Means: Two Samples, Unknown Equal Variance
# Shiny ui for Two-sample t-test
# Define UI for the application
shinyUI(pageWithSidebar(
headerPanel(title = div(img(src='abacus.png', align = 'left'),
"Hypothesis Testing: Two Samples, Student's t-Test"),
windowTitle = "Hypothesis Testing: Two Samples, Student's t-Test"),
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$strong('True Population 2 Mean: ', HTML("μ<sub>2"), style="color:darkblue"),
value = 21),
tags$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$strong('Sample 2 (Group 2) Size: ', HTML("n<sub>2"), style="color:darkblue"),
min = 10, max = 50, value = 20, step = 1),
tags$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_prob_type',
label = tags$strong('Probability Tail', style="color:darkblue"),
choices = c('Lower tail (Left tail)' = 'lower',
'Upper tail (Right tail) ' = 'upper',
'Both tails (Two-tailed)' = 'both'),
selected = 'both'),
tags$hr(style="border-color: purple;")
), # sidebarpanel
mainPanel(
tabsetPanel(
tabPanel(title = 'Population',
plotOutput(outputId = 'dnorm_plot', height = '1000px')),
tabPanel(title = 'Sample',
plotOutput(outputId = 'dotplot', height = '500px'),
plotOutput(outputId = 'boxplot', height = '500px')),
tabPanel(title = 'Test Statistic',
plotOutput(outputId = 'mdiff_plot1', height = '250px'),
plotOutput(outputId = 'dt_plot1', height = '750px')),
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("Test Statistic"),
tableOutput(outputId = 'dt_tstat'),
tags$hr(style="border-color: purple;"),
h2("Confidence Interval"),
uiOutput('CI', height = '50'))
)
)
))
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