shinyUI(
fluidPage(title="mirt",
titlePanel(h1("Multidimensional Dichotomous Models")),
titlePanel(h3("(Rasch, 1PL, 2PL, 3PL, and 4PL)")),
sidebarPanel(width=3,
selectInput("D", label = "Item Response Function",
list("Normal Ogive" = 1, "Logistic"=2), selected = 2),
selectInput("comp", label = "Compensatory",
list("Yes" = 1, "No"=2), selected = 1),
sliderInput("delta1", label = "Location 1",
min = -3, max = 3, value = 0, step = 0.1),
sliderInput("delta2", label = "Location 2",
min = -3, max = 3, value = 0, step = 0.1),
sliderInput("alpha1", label = "Discrimination 1",
min = -3, max = 3, value = 1, step = 0.1),
sliderInput("alpha2", label = "Discrimination 2",
min = -3, max = 3, value = 1, step = 0.1),
sliderInput("c", label = "Lower Asymptote",
min = 0, max = .4, value = 0, step = 0.1),
sliderInput("d", label = "Upper Asymptote",
min = .6, max = 1, value = 1, step = 0.1),
textInput("nametheta1", label="Name Dimension 1", "Math"),
textInput("nametheta2", label="Name Dimension 2", "Reading")
),
mainPanel(
tabsetPanel(
tabPanel("Item Response Surface",
inputPanel(
sliderInput("angle1", label = "Rotate Right-Left",
min = 0, max = 90, value = 30, step = 1),
sliderInput("angle2", label = "Rotate Up-Down",
min = 0, max = 90, value = 30, step = 1)
),
plotOutput(outputId="M2PL_plot",width="650px", height="650px"),
verbatimTextOutput(outputId="parms1")),
tabPanel("Contour Plot",
inputPanel(
sliderInput("nlevels", label = "N Contour Levels",
min = 10, max = 100, value = 10, step = 1)
),
plotOutput(outputId="cont_plot",width="650px", height="650px"),
verbatimTextOutput(outputId="parms2")),
tabPanel("Information Plot",
inputPanel(
sliderInput("angle3", label = "Rotate Right-Left",
min = 0, max = 90, value = 30, step = 1),
sliderInput("angle4", label = "Rotate Up-Down",
min = 0, max = 90, value = 30, step = 1)
),
plotOutput(outputId="info_plot",width="650px", height="650px"),
verbatimTextOutput(outputId="parms3"))
)
)
)
)
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