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univariateUI.R
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univariateUI.R
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library(shiny)
#Univariate module UI function
univariateUI <- function(id) {
ns <- NS(id)
tagList(tabsetPanel(
tabPanel(
"Categorical",
sidebarLayout(
sidebarPanel(width = 3,
uiOutput(outputId = ns("ctCatVarControls")),
uiOutput(outputId = ns("ctNumControls"))
),
mainPanel(width = 9,
fluidRow(
column(width = 8,
h4("Bar plot"),
plotOutput(outputId = ns("ctBarPlot"))
),
column(width = 4,
h4("Frequency Distribution table"),
verbatimTextOutput(outputId = ns("freqtab"))
)
)
)
)
),
tabPanel(
"Measures",
sidebarLayout(
sidebarPanel(width = 3,
uiOutput(outputId = ns("csVarControls")),
uiOutput(outputId = ns("csNumControls"))),
mainPanel(
width = 9,
fluidRow(
column(
6,
h4("Summary Statistics"),
verbatimTextOutput(outputId = ns("summ"))
),
column(6, h4("Mode"),
verbatimTextOutput(outputId = ns("mode")))
),
fluidRow(
column(
4,
h4("Standard Deviation"),
verbatimTextOutput(outputId = ns("sd"))
),
column(4,
h4("Mid Range"),
verbatimTextOutput(outputId = ns("midR"))),
column(
4,
h4("Inter Quantile Range"),
verbatimTextOutput(outputId = ns("iqr"))
)
),
fluidRow(
column(
4,
h4("Skeweness"),
verbatimTextOutput(outputId = ns("skew"))
),
column(4,
h4("Kurtosis"),
verbatimTextOutput(outputId = ns("kurt")))
)
)
)
),
tabPanel("Box & Violin Plot",
sidebarLayout(
sidebarPanel(width = 3,
uiOutput(outputId = ns("bvVarControls")),
uiOutput(outputId = ns("bvNumControls"))),
mainPanel(width = 9,
fluidRow(
column(6,
fluidRow(
h4("Quantiles"),
verbatimTextOutput(outputId = ns("quan")),
h4("Box plot"),
plotOutput(outputId = ns("boxPlot"))
)),
column(6,
h3("Violin plot"),
plotOutput(outputId = ns("violin")))
))
)),
tabPanel(
"Fixed Distribution",
sidebarLayout(
sidebarPanel(width = 3,
uiOutput(outputId = ns("fdVarControls")),
uiOutput(outputId = ns("fdNumControls"))),
mainPanel(width = 9,
fluidRow(
column(6,
h3("Histogram"),
plotOutput(outputId = ns("histogram"))),
column(6,
h3("Q-Q Plot"),
plotOutput(outputId = ns("qqplot")))
))
)
),
tabPanel(
"Lag & Run Sequence Plots",
sidebarLayout(
sidebarPanel(width = 3,
uiOutput(outputId = ns("lrsVarControls")),
uiOutput(outputId = ns("lrsNumControls"))),
mainPanel(width = 9,
fluidRow(
column(
6,
h3("Lag plot for Randomness test"),
plotOutput(outputId = ns("randomness"))
),
column(
6,
h3("Run sequence plot for Fixed Location and Variation test"),
plotOutput(outputId = ns("fixedlocvar"))
)
))
)
),
tabPanel(
"Fitting & Goodness Test",
sidebarLayout(
sidebarPanel(
width = 3,
uiOutput(outputId = ns("fgVarControls")),
uiOutput(outputId = ns("fgNumControls")),
selectInput(
inputId = ns("distVar"),
label = "Distribution type:",
choices = c(
"Normal" = "norm",
"Cauchy" = "cauchy",
"Logistic" = "logis",
"Exponential" = "exp",
"Weibull" = "weib",
"Uniform" = "unif"
)
)
),
mainPanel(
width = 9,
fluidRow(
h3("Fitting Distributions"),
column(
6,
h4("Method of Parameter Estimation"),
h5("Method of Moments"),
verbatimTextOutput(outputId = ns("fitting")),
h5("Method of Maximum Likelihood"),
verbatimTextOutput(outputId = ns("maxlik"))
),
column(6, h4("Curve Fitting"),
plotOutput(outputId = ns("curveFitting")))
),
fluidRow(
h3("Goodness of Fit Test"),
column(
6,
h4("Kolmogorov-Smirnov Test"),
verbatimTextOutput(outputId = ns("kstest"))
),
column(6,
h4("Chi Square test"),
verbatimTextOutput(outputId = ns("chisq")))
)
)
)
)
))
}