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ui.R
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ui.R
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# ----------------------- #
# ---- UI components ----
# ----------------------- #
ui <- fluidPage(
theme = bs_theme(version = 4,
primary = "#18536F"),
tags$head(
tags$link(rel = "stylesheet",
type="text/css",
href="cougarstats-styles.css")
),
navbarPage(
title = div(img(src ="CougarStatsLogo.png", height = 100),
span(" CougarStats ", class = "pageTitle")),
# --------------------- #
# ---- Methods Tab ----
# --------------------- #
tabPanel(
title = "Methods",
# ------------------------- #
## ---- Methods sidebar ----
# ------------------------- #
sidebarLayout(
sidebarPanel(
withMathJax(),
shinyjs::useShinyjs(),
id = "sideBar",
selectizeInput(
inputId = "dropDownMenu",
label = strong("Choose Statistical Topic"),
choices = c("",
"Descriptive Statistics",
"Probability Distributions",
"Sample Size Estimation",
"Statistical Inference",
"Regression and Correlation"),
options = list(
placeholder = 'Please select a topic below'
),
),
# ----------------------------------- #
### ---- Descriptive Stats sidebar ----
# ----------------------------------- #
conditionalPanel(
id = "descriptiveStatsPanel",
condition = "input.dropDownMenu == 'Descriptive Statistics'",
style = "display: none;",
# radioButtons(
# inputId = "dataInput",
# label = strong("Data"),
# choiceValues = list("Enter Raw Data",
# "Upload Data"),
# choiceNames = list("Enter Raw Data",
# "Upload Data"),
# selected = "Enter Raw Data", #character(0), #
# inline = TRUE
# ), #,width = '1000px'),
radioButtons(
inputId = "dataInput",
label = strong("Data"),
choiceValues = list("Enter Raw Data",
"Upload Data"),
choiceNames = list("Enter Raw Data",
"Upload Data"),
selected = "Enter Raw Data", #character(0), #
inline = TRUE),
conditionalPanel(
condition = "input.dataInput == 'Enter Raw Data'",
textAreaInput("descriptiveStat",
label = strong("Sample"),
value = "2.14, 2.09, 2.65, 3.56, 5.55, 5.00, 5.55, 8.09, 10.79",
placeholder = "Enter values separated by a comma with decimals as points",
rows = 3
),
),
conditionalPanel(
condition = "input.dataInput == 'Upload Data'",
fileInput(
inputId = 'dsUserData',
label = strong('Upload your data (.csv or .xls or .xlsx or .txt)'),
accept = c('text/csv','text/comma-separated-values',
'text/tab-separated-values',
'text/plain',
'.csv',
'.txt',
'.xls',
'.xlsx')
),
selectizeInput(
inputId = "dsUploadVars",
label = strong("Choose a Variable"),
choices = c(""),
multiple = FALSE,
options = list(placeholder = 'Select a variable',
onInitialize = I('function() { this.setValue(""); }')
)
),
),
br(),
shinyWidgets::pickerInput(
inputId = "dsTableFilters",
label = strong("Statistics"),
choices = list(
Descriptives = c("Observations",
"Sum",
"Sum of Squares",
"Mean",
"Mode"),
'Five Number Summary' = c("Minimum",
"First Quartile (Q1)",
"Second Quartile or Median (Q2)",
"Third Quartile (Q3)",
"Maximum"),
Outliers = c("IQR",
"Potential Outliers"),
Dispersion = c("Range",
"Sample Standard Deviation",
"Sample Variance",
"Standard Error of the Mean",
"Coefficient of Variation"),
Distribution = c("Skewness",
"Kurtosis")
),
selected = c("Observations",
"Mean",
"Minimum",
"First Quartile (Q1)",
"Second Quartile or Median (Q2)",
"Third Quartile (Q3)",
"Maximum",
"Sample Standard Deviation"),
options = pickerOptions(
actionsBox = TRUE,
selectedTextFormat = 'count',
style = "btn-outline-primary",
hideDisabled = TRUE
),
multiple = TRUE
),
br(),
selectizeInput(
inputId = "dsGraphOptions",
label = strong("Graphs"),
choices = c("Boxplot",
"Histogram",
"Stem and Leaf Plot"),
selected = c("Boxplot"),
multiple = TRUE,
options = list(hideSelected = FALSE,
placeholder = 'Select graph(s) to display')
),
br(),
actionButton(
inputId = "goDescpStats",
label = "Calculate",
class = "act-btn"
# style="color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
actionButton(
inputId = "resetAll",
label = "Reset Values",
class = "act-btn"
# style="color: #fff; background-color: #337ab7; border-color: #2e6da4"
) #, onclick = "history.go(0)"
), #DescriptiveStats Panel
# ------------------------------------------- #
### ---- Probability Distributions sidebar ----
# ------------------------------------------- #
conditionalPanel(id = "probPanel",
condition = "input.dropDownMenu == 'Probability Distributions'",
style = "display: none;",
radioButtons(
inputId = "probability",
label = strong("Distribution"),
choices = c("Contingency Table",
"Binomial",
"Poisson",
"Normal"),
selected = NULL,
inline = TRUE),
# ---------------------------- #
#### ---- Contingency Tables ----
# ---------------------------- #
conditionalPanel(id = "contingencyPanel",
condition = "input.probability == 'Contingency Table'",
radioButtons(
inputId = "cTableDimension",
label = strong("Dimension"),
choices = c("2 x 2",
"2 x 3",
"3 x 2",
"3 x 3"),
inline = TRUE),
# radioButtons(
# inputId = "cTableType",
# label = strong("Data Format"),
# choices = c("Frequency Distribution",
# "Probability Distribution"),
# inline = TRUE
# ),
conditionalPanel(
condition = "input.cTableDimension == '2 x 2'",
# conditionalPanel(
# condition = "input.cTableType == 'Frequency Distribution'",
matrixInput(
inputId = "cMatrix2x2",
inputClass = "cMatrix",
value = matrix(c(18,22, 21,152),
2, 2,
dimnames = list(c("R1", "R2"),
c("C1", "C2"))),
rows = list(editableNames = TRUE),
cols = list(editableNames = TRUE)
),
# ), # Frequency Distribution
# conditionalPanel(
# condition = "input.cTableType == 'Probability Distribution'",
# matrixInput(
# inputId = "pMatrix2x2",
# inputClass = "cMatrix",
# value = matrix(c(0.18,0.22, 0.41,0.19),
# 2, 2,
# dimnames = list(c("R1", "R2"),
# c("C1", "C2"))),
# rows = list(editableNames = TRUE),
# cols = list(editableNames = TRUE)
# ),
# ), # Probability Distribution
), # 2x2
conditionalPanel(
condition = "input.cTableDimension == '2 x 3'",
# conditionalPanel(
# condition = "input.cTableType == 'Frequency Distribution'",
matrixInput(
inputId = "cMatrix2x3",
inputClass = "cMatrix",
value = matrix(c(30,210, 26,121, 0,20),
2, 3,
dimnames = list(c("R1", "R2"),
c("C1", "C2", "C3"))),
rows = list(editableNames = TRUE),
cols = list(editableNames = TRUE)
),
# ), # Frequency Distribution
# conditionalPanel(
# condition = "input.cTableType == 'Probability Distribution'",
#
# matrixInput(
# inputId = "pMatrix2x3",
# inputClass = "cMatrix",
# value = matrix(c(0.28,0.11, 0.08,0.26, 0.13,0.14),
# 2, 3,
# dimnames = list(c("R1", "R2"),
# c("C1", "C2", "C3"))),
# rows = list(editableNames = TRUE),
# cols = list(editableNames = TRUE)
# ),
# ), # Probability Distribution
), # 2x3
conditionalPanel(
condition = "input.cTableDimension == '3 x 2'",
# conditionalPanel(
# condition = "input.cTableType == 'Frequency Distribution'",
matrixInput(
inputId = "cMatrix3x2",
inputClass = "cMatrix",
value = matrix(c(115,75,142, 250,183,235),
3, 2,
dimnames = list(c("R1", "R2", "R3"),
c("C1", "C2"))),
rows = list(editableNames = TRUE),
cols = list(editableNames = TRUE)
),
# ), # Frequency Distribution
# conditionalPanel(
# condition = "input.cTableType == 'Probability Distribution'",
#
# matrixInput(
# inputId = "pMatrix3x2",
# inputClass = "cMatrix",
# value = matrix(c(0.115,0.075,0.142, 0.250,0.183,0.235),
# 3, 2,
# dimnames = list(c("R1", "R2", "R3"),
# c("C1", "C2"))),
# rows = list(editableNames = TRUE),
# cols = list(editableNames = TRUE)
# ),
# ), # Probability Distribution
), # 3x2
conditionalPanel(
condition = "input.cTableDimension == '3 x 3'",
# conditionalPanel(
# condition = "input.cTableType == 'Frequency Distribution'",
matrixInput(
inputId = "cMatrix3x3",
inputClass = "cMatrix",
value = matrix(c(6,14,50, 38,31,50, 31,4,5),
3, 3,
dimnames = list(c("R1", "R2", "R3"),
c("C1", "C2", "C3"))),
rows = list(editableNames = TRUE),
cols = list(editableNames = TRUE)
),
# ), # Frequency Distribution
# conditionalPanel(
# condition = "input.cTableType == 'Probability Distribution'",
#
# matrixInput(
# inputId = "pMatrix3x3",
# inputClass = "cMatrix",
# value = matrix(c(0.0262,0.0611,0.2183, 0.1659,0.1354,0.2184, 0.1354,0.0175,0.0218),
# 3, 3,
# dimnames = list(c("R1", "R2", "R3"),
# c("C1", "C2", "C3"))),
# rows = list(editableNames = TRUE),
# cols = list(editableNames = TRUE)
# ),
# ), # Probability Distribution
), # 3x3
radioButtons(
inputId = "cTableProb",
label = strong("Probabilities"),
choices = c("Marginal",
"Joint",
"Union",
"Conditional"),
inline = TRUE),
actionButton(
inputId = "gocTable",
label = "Calculate",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
actionButton(
inputId = "resetcTable",
label = "Reset Values",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
), # Contingency Tables
# ------------------ #
#### ---- Binomial ----
# ------------------ #
conditionalPanel(id = "binomialPanel",
condition = "input.probability == 'Binomial'",
numericInput(
inputId = "numTrialsBinom",
label = strong("Number of Trials (\\( n\\))"),
value = 7,
min = 1,
step = 1
),
numericInput(
inputId = "successProbBinom",
label = strong("Probability of Success (\\( p\\))"),
value = 0.15,
min = 0,
max = 1,
step = 0.00001
),
HTML("<label class='si-label'><b>Probability</b></label>"),
radioButtons(
inputId = "calcBinom",
label = NULL,
choiceValues = list("exact",
"cumulative",
"upperTail",
"greaterThan",
"lessThan",
"between"),
choiceNames = list("\\(P(X = x \\))",
"\\(P(X \\leq x)\\)",
"\\(P(X \\ge x)\\)",
"\\(P(X \\gt x)\\)",
"\\(P(X < x)\\)",
"\\(P(x_1 \\leq X \\leq x_2)\\)"),
inline = FALSE), #,width = '1000px'),
conditionalPanel(
condition = "input.calcBinom != 'between'",
numericInput(
inputId = "numSuccessesBinom",
label = strong("Number of Successes (\\( x\\))"),
value = 2,
min = 0,
step = 1
)
), # !between
conditionalPanel(
condition = "input.calcBinom == 'between'",
numericInput(
inputId = "numSuccessesBinomx1",
label = strong("Number of Successes (\\( x_{1}\\))"),
value = 2,
min = 0,
step = 1
),
numericInput(
inputId = "numSuccessesBinomx2",
label = strong("Number of Successes (\\( x_{2}\\))"),
value = 4,
min = 0,
step = 1
)
), # between
br(),
p(strong("Options")),
hr(),
checkboxInput(
inputId = "showBinomTable",
label = "Display Probability Distribution Table",
value = TRUE
),
actionButton(
inputId = "goBinom",
label = "Calculate",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
actionButton(
inputId = "resetBinomial",
label = "Reset Values",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
), # , onclick = "history.go(0)"
# br(),
# downloadButton('downloadBinomResults', 'Download Results'),
), # Binomial
# ----------------- #
#### ---- Poisson ----
# ----------------- #
conditionalPanel(id = "poissonPanel",
condition = "input.probability == 'Poisson'",
numericInput(
inputId = "muPoisson",
label = strong("Average (\\( \\mu\\))"),
value = 4.5
),
HTML("<label class='si-label'><b>Probability</b></label>"),
radioButtons(
inputId = "calcPoisson",
label = NULL,
choiceValues = list("exact",
"cumulative",
"upperTail",
"greaterThan",
"lessThan",
"between"),
choiceNames = list("\\(P(X = x \\))",
"\\(P(X \\leq x)\\)",
"\\(P(X \\ge x)\\)",
"\\(P(X \\gt x)\\)",
"\\(P(X < x)\\)",
"\\(P(x_1 \\leq X \\leq x_2)\\)"),
inline = FALSE), #,width = '1000px'),
conditionalPanel(
condition = "input.calcPoisson != 'between'",
numericInput(
inputId = "xPoisson",
label = strong("Number of Successes (\\( x\\))"),
value = 4,
min = 0,
step = 1
),
), # !between
conditionalPanel(
condition = "input.calcPoisson == 'between'",
numericInput(
inputId = "x1Poisson",
label = strong("Number of Successes (\\( x_{1}\\))"),
value = 4,
min = 0,
step = 1
),
numericInput(
inputId = "x2Poisson",
label = strong("Number of Successes (\\( x_{2}\\))"),
value = 6,
min = 0,
step = 1
)
), # between
br(),
p(strong("Options")),
hr(),
checkboxInput(
inputId = "showPoissTable",
label = "Display Probability Distribution Table",
value = TRUE
),
actionButton(
inputId = "goPoisson",
label = "Calculate",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
actionButton(
inputId = "resetPoisson",
label = "Reset Values",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
) #, onclick = "history.go(0)"
), # Poisson
# ---------------- #
#### ---- Normal ----
# ---------------- #
conditionalPanel(id = "normalPanel",
condition = "input.probability == 'Normal'",
numericInput(
inputId = "popMean",
label = strong("Population Mean (\\( \\mu\\))"),
value = 0,
step = 0.00001
),
numericInput(
inputId = "popSD",
label = strong("Population Standard Deviation (\\( \\sigma\\))"),
value = 1,
min = 0,
step = 0.00001
),
radioButtons(
inputId = "calcQuantiles",
label = strong("Type of Calculation"),
choiceValues = list("Probability", "Quantile"),
choiceNames = list("Probability", "Quantile"),
inline = TRUE),
conditionalPanel( ##### Probability ----
condition = "input.calcQuantiles == 'Probability'",
checkboxInput(
inputId = "sampMeanDistr",
label = strong("Sampling Distribution of the Sample Mean"),
value = 0
),
conditionalPanel(
condition = "input.sampMeanDistr == 0",
HTML("<label class='si-label'><b>Probability</b></label>"),
radioButtons(
inputId = "calcNormal",
label = NULL,
choiceValues = list("cumulative",
"upperTail",
"between"),
choiceNames = list("\\(P(X \\leq x)\\) or \\(P(X < x)\\)",
"\\(P(X \\ge x)\\) or \\(P(X \\gt x)\\)",
"\\(P(x_1 \\leq X \\leq x_2)\\)"),
inline = FALSE),
conditionalPanel(
condition = "input.calcNormal != 'between'",
numericInput(
inputId = "xValue",
label = strong("Normally Distributed Variable (\\( x\\))"),
value = 0,
step = 0.00001
),
), # !between
conditionalPanel(
condition = "input.calcNormal == 'between'",
numericInput(
inputId = "x1Value",
label = strong("Normally Distributed Variable (\\( x_{1}\\))"),
value = -1,
step = 0.00001
),
numericInput(
inputId = "x2Value",
label = strong("Normally Distributed Variable (\\( x_{2}\\))"),
value = 1,
step = 0.00001
),
), # between
), # !sampMeanDistr
conditionalPanel(
condition = "input.sampMeanDistr == 1",
HTML("<label class='si-label'><b>Probability</b></label>"),
radioButtons(
inputId = "calcNormSampDistr",
label = NULL,
choiceValues = list("cumulative",
"upperTail",
"between"),
choiceNames = list("\\(P(\\bar{X} \\leq x)\\) or \\(P(\\bar{X} < x)\\)",
"\\(P(\\bar{X} \\ge x)\\) or \\(P(\\bar{X} \\gt x)\\)",
"\\(P(x_1 \\leq \\bar{X} \\leq x_2)\\)"),
inline = FALSE), #,width = '1000px'),
conditionalPanel(
condition = "input.calcNormSampDistr != 'between'",
numericInput(
inputId = "sampDistrxValue",
label = strong("Normally Distributed Variable (\\( \\bar{x}\\))"),
value = 0,
step = 0.00001
),
), # !between
conditionalPanel(
condition = "input.calcNormSampDistr == 'between'",
numericInput(
inputId = "sampDistrx1Value",
label = strong("Normally Distributed Variable (\\( \\bar{x}_{1}\\))"),
value = -1,
step = 0.00001
),
numericInput(
inputId = "sampDistrx2Value",
label = strong("Normally Distributed Variable (\\( \\bar{x}_{2}\\))"),
value = 1,
step = 0.00001
),
), # between
numericInput(
inputId = "sampDistrSize",
label = strong("Sample Size (\\( n\\))"),
value = 10,
step = 1
),
), # sampMeanDistr
actionButton(
inputId = "goNormalProb",
label = "Calculate",
class = "act-btn"
# style="color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
actionButton(
inputId = "resetNormalProb",
label = "Reset Values",
class = "act-btn"
# style="color: #fff; background-color: #337ab7; border-color: #2e6da4"
) #, onclick = "history.go(0)"
), # Normal Probability
conditionalPanel( ##### Quantile ----
condition = "input.calcQuantiles == 'Quantile'",
radioButtons(
inputId = "calcQuartiles",
label = NULL,
choiceValues = list("Quartiles",
"Percentile"),
choiceNames = list("Quartiles \\( (Q_{1}, Q_{2}, Q_{3}) \\)",
"Percentile"),
inline = TRUE),
conditionalPanel(
condition = "input.calcQuartiles == 'Percentile'",
autonumericInput(
inputId = "percentileValue",
label = strong("Percentile Value"),
value = 25,
minimumValue = 0,
maximumValue = 100,
decimalPlaces = 0,
align = 'left',
suffixText = '%',
wheelOn = 'hover',
wheelStep = 1
),
), # Percentile
actionButton(
inputId = "goNormalQuan",
label = "Calculate",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
actionButton(
inputId = "resetNormalQuan",
label = "Reset Values",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
) #, onclick = "history.go(0)"
), # Quantile
) # Normal
), #ProbPanel
# --------------------------------------- #
### --- Sample Size Estimation sidebar ----
# --------------------------------------- #
conditionalPanel(id = "sampSizeEstPanel",
condition = "input.dropDownMenu == 'Sample Size Estimation'",
style = "display: none;",
# htmltools::tagAppendAttributes(
# prettyRadioButtons(
# inputId = "sampSizeEstParameter",
# label = strong("Parameter of Interest"),
# choiceValues = list("Population Mean",
# "Population Proportion"),
# choiceNames = list("Population Mean (\\( \\mu \\)) ",
# "Population Proportion (\\( p\\))"),
# selected = "Population Mean", #character(0), #
# inline = TRUE,
# outline = TRUE,
# status = "primary"
# ), #,width = '1000px'),
#
# class = "latexRadio"
# ),
radioButtons(
inputId = "sampSizeEstParameter",
label = strong("Parameter of Interest"),
choiceValues = list("Population Mean",
"Population Proportion"),
choiceNames = list("Population Mean (\\( \\mu \\)) ",
"Population Proportion (\\( p\\))"),
selected = "Population Mean", #character(0), #
inline = TRUE),
radioButtons(
inputId = "confLeveln",
label = strong("Confidence Level (\\( 1- \\alpha\\))"),
choices = c("90%",
"95%",
"99%"),
selected = c("95%"),
inline = TRUE),
# 4 Options: Mean & Margin of Error, Mean & Width of Interval,
# Prop & Margin of Error, Prop & Width of Interval
# Population Mean + (MoE or WoI)
radioButtons(
inputId = "sseEstimationType",
label = strong("Estimation Type"),
choiceValues = list("Margin of Error",
"Width of Interval"),
choiceNames = list("Margin of Error (\\( E\\)) ",
"Width of Interval (\\( W\\))"),
selected = "Margin of Error",
inline = TRUE),
conditionalPanel(
condition = "input.sampSizeEstParameter == 'Population Mean'",
numericInput(
inputId = "ssePopuSD",
label = strong("Population Standard Deviation (\\( \\sigma\\))"),
value = "12",
min = 0.00001,
step = 0.00001
),
conditionalPanel(
condition = "input.sseEstimationType == 'Margin of Error'",
numericInput(
inputId = "sseMeanMargErr",
label = strong("Margin of Error (\\( E\\))"),
value = "8",
min = 0.00001,
step = 0.01
)
),
conditionalPanel(
condition = "input.sseEstimationType == 'Width of Interval'",
numericInput(
inputId = "sseMeanWoI",
label = strong("Width of Interval (\\( W\\))"),
value = "16",
min = 0.00001,
step = 0.01
)
)
),
# Population Proportion + (MoE or WoI)
conditionalPanel(
condition = "input.sampSizeEstParameter == 'Population Proportion'",
numericInput(
inputId = "sseTargetProp",
label = strong("Target Proportion (\\( \\hat{p} \\))"),
value = "0.5",
min = 0.00001,
step = 0.01
),
conditionalPanel(
condition = "input.sseEstimationType == 'Margin of Error'",
numericInput(
inputId = "ssePropMargErr",
label = strong("Margin of Error (\\( E\\))"),
value = "0.01",
min = 0.00001,
step = 0.01
)
),
conditionalPanel(
condition = "input.sseEstimationType == 'Width of Interval'",
numericInput(
inputId = "ssePropWoI",
label = strong("Width of Interval (\\( W\\))"),
value = "0.02",
min = 0.00001,
step = 0.01
)
)
),
actionButton(
inputId = "goSampSizeEst",
label = "Calculate",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
),
actionButton(
inputId = "resetSampSizeEst",
label = "Reset Values",
class = "act-btn"
# style = "color: #fff; background-color: #337ab7; border-color: #2e6da4"
)
), # Sample Size Est
# --------------------------------------- #
### ---- Statistical Inference sidebar ----
# --------------------------------------- #
conditionalPanel(id = "inferencePanel",
condition = "input.dropDownMenu == 'Statistical Inference'",
style = "display: none;",
HTML("<label class='si-label'><b>Methodology</b></label>"),
radioButtons(
inputId = "siMethod",
label = NULL,
choiceValues = list("1",
"2",
"Multiple",
"Categorical"),
choiceNames = list("Inference about 1 sample\\(\\)",
"Inference about 2 samples\\(\\)",
"Inference about more than 2 samples (e.g. ANOVA)\\(\\)",
"Inference for Categorical Data (e.g \\( \\chi^2 \\) test)"),
selected = "1"), #,width = '1000px'),
# radioButtons(inputId = "popuDistribution",
# label = strong("Analysis Type"),
# choiceValues = list("Parametric analysis", "Non-parametric analysis"),
# choiceNames = list("Parametric analysis", "Non-parametric analysis"),
# selected = "Parametric analysis", #character(0),
# inline = TRUE), #,width = '1000px'),
#
# conditionalPanel(
# condition = "input.popuDistribution == 'Non-parametric analysis'",
#
# ),
#
# conditionalPanel(
# condition = "input.popuDistribution == 'Parametric analysis'",
#
# ),
conditionalPanel( #### 1 Sample ----
condition = "input.siMethod == '1'",
radioButtons(
inputId = "popuParameter",
label = strong("Parameter of Interest"),
choiceValues = list("Population Mean",
"Population Standard Deviation",
"Population Proportion"),
choiceNames = list("Population Mean (\\( \\mu \\)) ",
"Population Standard Deviation (\\( \\sigma\\)) ",
"Population Proportion (\\( p\\))"),
selected = "Population Mean", #character(0), #
inline = FALSE), #,width = '1000px'),
conditionalPanel( ##### Mean ----
condition = "input.popuParameter == 'Population Mean'",
radioButtons(
inputId = "dataAvailability",
label = strong("Data Availability"),
choiceValues = list("Summarized Data",
"Enter Raw Data",
"Upload Data"),
choiceNames = list("Summarized Data",
"Enter Raw Data",
"Upload Data"),
selected = "Summarized Data", # character(0), #
inline = TRUE), #,width = '1000px'),
conditionalPanel( ###### Summarized ----
condition = "input.dataAvailability == 'Summarized Data'",
numericInput(
inputId = "sampleSize",
label = strong("Sample Size (\\( n\\))"),
value = 18,
min = 1,
step = 1
),
numericInput(