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Shiny height-weight example

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heightweight.csv
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"sex","ageYear","ageMonth","heightIn","weightLb"
"f",11.91667,143,56.3,85
"f",12.91667,155,62.3,105
"f",12.75,153,63.3,108
"f",13.41667,161,59,92
"f",15.91667,191,62.5,112.5
"f",14.25,171,62.5,112
"f",15.41667,185,59,104
"f",11.83333,142,56.5,69
"f",13.33333,160,62,94.5
"f",11.66667,140,53.8,68.5
"f",11.58333,139,61.5,104
"f",14.83333,178,61.5,103.5
"f",13.08333,157,64.5,123.5
"f",12.41667,149,58.3,93
"f",11.91667,143,51.3,50.5
"f",12.08333,145,58.8,89
"f",15.91667,191,65.3,107
"f",12.5,150,59.5,78.5
"f",12.25,147,61.3,115
"f",15,180,63.3,114
"f",11.75,141,61.8,85
"f",11.66667,140,53.5,81
"f",13.66667,164,58,83.5
"f",14.66667,176,61.3,112
"f",15.41667,185,63.3,101
"f",13.83333,166,61.5,103.5
"f",14.58333,175,60.8,93.5
"f",15,180,59,112
"f",17.5,210,65.5,140
"f",12.16667,146,56.3,83.5
"f",14.16667,170,64.3,90
"f",13.5,162,58,84
"f",12.41667,149,64.3,110.5
"f",11.58333,139,57.5,96
"f",15.5,186,57.8,95
"f",16.41667,197,61.5,121
"f",14.08333,169,62.3,99.5
"f",14.75,177,61.8,142.5
"f",15.41667,185,65.3,118
"f",15.16667,182,58.3,104.5
"f",14.41667,173,62.8,102.5
"f",13.83333,166,59.3,89.5
"f",14,168,61.5,95
"f",14.08333,169,62,98.5
"f",12.5,150,61.3,94
"f",15.33333,184,62.3,108
"f",11.58333,139,52.8,63.5
"f",12.25,147,59.8,84.5
"f",12,144,59.5,93.5
"f",14.75,177,61.3,112
"f",14.83333,178,63.5,148.5
"f",16.41667,197,64.8,112
"f",12.16667,146,60,109
"f",12.08333,145,59,91.5
"f",12.25,147,55.8,75
"f",12.08333,145,57.8,84
"f",12.91667,155,61.3,107
"f",13.91667,167,62.3,92.5
"f",15.25,183,64.3,109.5
"f",11.91667,143,55.5,84
"f",15.25,183,64.5,102.5
"f",15.41667,185,60,106
"f",12.33333,148,56.3,77
"f",12.25,147,58.3,111.5
"f",12.83333,154,60,114
"f",13,156,54.5,75
"f",12,144,55.8,73.5
"f",12.83333,154,62.8,93.5
"f",12.66667,152,60.5,105
"f",15.91667,191,63.3,113.5
"f",15.83333,190,66.8,140
"f",11.66667,140,60,77
"f",12.33333,148,60.5,84.5
"f",15.75,189,64.3,113.5
"f",11.91667,143,58.3,77.5
"f",14.83333,178,66.5,117.5
"f",13.66667,164,65.3,98
"f",13.08333,157,60.5,112
"f",12.25,147,59.5,101
"f",12.33333,148,59,95
"f",14.75,177,61.3,81
"f",14.25,171,61.5,91
"f",14.33333,172,64.8,142
"f",15.83333,190,56.8,98.5
"f",15.25,183,66.5,112
"f",11.91667,143,61.5,116.5
"f",14.91667,179,63,98.5
"f",15.5,186,57,83.5
"f",15.16667,182,65.5,133
"f",15.16667,182,62,91.5
"f",11.83333,142,56,72.5
"f",13.75,165,61.3,106.5
"f",13.75,165,55.5,67
"f",12.83333,154,61,122.5
"f",12.5,150,54.5,74
"f",12.91667,155,66,144.5
"f",13.58333,163,56.5,84
"f",11.75,141,56,72.5
"f",12.25,147,51.5,64
"f",17.5,210,62,116
"f",14.25,171,63,84
"f",13.91667,167,61,93.5
"f",15.16667,182,64,111.5
"f",12,144,61,92
"f",16.08333,193,59.8,115
"f",11.75,141,61.3,85
"f",13.66667,164,63.3,108
"f",15.5,186,63.5,108
"f",14.08333,169,61.5,85
"f",14.58333,175,60.3,86
"f",15,180,61.3,110.5
"m",13.75,165,64.8,98
"m",13.08333,157,60.5,105
"m",12,144,57.3,76.5
"m",12.5,150,59.5,84
"m",12.5,150,60.8,128
"m",11.58333,139,60.5,87
"m",15.75,189,67,128
"m",15.25,183,64.8,111
"m",12.25,147,50.5,79
"m",12.16667,146,57.5,90
"m",13.33333,160,60.5,84
"m",13,156,61.8,112
"m",14.41667,173,61.3,93
"m",12.58333,151,66.3,117
"m",11.75,141,53.3,84
"m",12.5,150,59,99.5
"m",13.66667,164,57.8,95
"m",12.75,153,60,84
"m",17.16667,206,68.3,134
"m",20.83333,250,67.5,171.5
"m",14.66667,176,63.8,98.5
"m",14.66667,176,65,118.5
"m",11.66667,140,59.5,94.5
"m",15.41667,185,66,105
"m",15,180,61.8,104
"m",12.16667,146,57.3,83
"m",15.25,183,66,105.5
"m",11.66667,140,56.5,84
"m",12.58333,151,58.3,86
"m",12.58333,151,61,81
"m",12,144,62.8,94
"m",13.33333,160,59.3,78.5
"m",14.83333,178,67.3,119.5
"m",16.08333,193,66.3,133
"m",13.5,162,64.5,119
"m",13.66667,164,60.5,95
"m",15.5,186,66,112
"m",11.91667,143,57.5,75
"m",14.58333,175,64,92
"m",14.58333,175,68,112
"m",14.58333,175,63.5,98.5
"m",14.41667,173,69,112.5
"m",14.16667,170,63.8,112.5
"m",14.5,174,66,108
"m",13.66667,164,63.5,108
"m",12,144,59.5,88
"m",13,156,66.3,106
"m",12.41667,149,57,92
"m",12,144,60,117.5
"m",12.25,147,57,84
"m",15.66667,188,67.3,112
"m",14.08333,169,62,100
"m",14.33333,172,65,112
"m",12.5,150,59.5,84
"m",16.08333,193,67.8,127.5
"m",13.08333,157,58,80.5
"m",14,168,60,93.5
"m",11.66667,140,58.5,86.5
"m",13,156,58.3,92.5
"m",13,156,61.5,108.5
"m",13.16667,158,65,121
"m",15.33333,184,66.5,112
"m",13,156,68.5,114
"m",12,144,57,84
"m",14.66667,176,61.5,81
"m",14,168,66.5,111.5
"m",12.41667,149,52.5,81
"m",11.83333,142,55,70
"m",15.66667,188,71,140
"m",16.91667,203,66.5,117
"m",11.83333,142,58.8,84
"m",15.75,189,66.3,112
"m",15.66667,188,65.8,150.5
"m",16.66667,200,71,147
"m",12.66667,152,59.5,105
"m",14.5,174,69.8,119.5
"m",13.83333,166,62.5,84
"m",12.08333,145,56.5,91
"m",11.91667,143,57.5,101
"m",13.58333,163,65.3,117.5
"m",13.83333,166,67.3,121
"m",15.16667,182,67,133
"m",14.41667,173,66,112
"m",12.91667,155,61.8,91.5
"m",13.5,162,60,105
"m",14.75,177,63,111
"m",14.75,177,60.5,112
"m",14.58333,175,65.5,114
"m",13.83333,166,62,91
"m",12.5,150,59,98
"m",12.5,150,61.8,118
"m",15.66667,188,63.3,115.5
"m",13.58333,163,66,112
"m",14.25,171,61.8,112
"m",13.5,162,63,91
"m",11.75,141,57.5,85
"m",14.5,174,63,112
"m",11.83333,142,56,87.5
"m",12.33333,148,60.5,118
"m",11.66667,140,56.8,83.5
"m",13.33333,160,64,116
"m",12,144,60,89
"m",17.16667,206,69.5,171.5
"m",13.25,159,63.3,112
"m",12.41667,149,56.3,72
"m",16.08333,193,72,150
"m",16.16667,194,65.3,134.5
"m",12.66667,152,60.8,97
"m",12.16667,146,55,71.5
"m",11.58333,139,55,73.5
"m",15.5,186,66.5,112
"m",13.41667,161,56.8,75
"m",12.75,153,64.8,128
"m",16.33333,196,64.5,98
"m",13.66667,164,58,84
"m",13.25,159,62.8,99
"m",14.83333,178,63.8,112
"m",12.75,153,57.8,79.5
"m",12.91667,155,57.3,80.5
"m",14.83333,178,63.5,102.5
"m",11.83333,142,55,76
"m",13.66667,164,66.5,112
"m",15.75,189,65,114
"m",13.66667,164,61.5,140
"m",13.91667,167,62,107.5
"m",12.58333,151,59.3,87
server.r
R
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library(ggplot2)
 
hw <- read.csv("heightweight.csv")
 
# Returns a logical vector of which values in `x` are within the min and max
# values of `range`.
in_range <- function(x, range) {
x >= min(range) & x <= max(range)
}
 
shinyServer(function(input, output) {
 
limit_data_range <- function() {
# ------------------------------------------------------------------
# Because we're using reactiveUI for x_range and y_range, they start
# out as null, then get resolved after the client and server talk a bit.
# If they are not yet set, there will be some errors in this function, so
# do nothing for now (this function will be run again).
if (is.null(input$x_range) || is.null(input$y_range)) {
return(NULL)
}
 
# ------------------------------------------------------------------
# Limit range of data
# Take a subset of the data, respecting the limited range
hw_sub <- hw[in_range(hw[[input$x_var]], input$x_range) &
in_range(hw[[input$y_var]], input$y_range), ]
 
hw_sub
}
 
 
 
output$main_plot <- renderPlot({
 
# Take a subset of the data, respecting the limited range
hw_sub <- limit_data_range()
 
if (is.null(hw_sub))
return()
 
# Get the x and y values from the non-range-limited data, for convenience
xdat <- hw[[input$x_var]]
ydat <- hw[[input$y_var]]
 
 
# ------------------------------------------------------------------
# Make the base plot
 
# If any models are drawn, make the points less prominent
if (input$mod_linear || input$mod_quadratic || input$mod_loess)
point_alpha <- 0.5
else
point_alpha <- 1
 
 
# Separate by sex, if requested
if (input$sex) {
aes_mapping <- aes_string(x = input$x_var, y = input$y_var,
colour = "sex", shape = "sex")
 
# Use different point geom specification, depending on if we're separating
# by sex.
points <- geom_point(solid = FALSE, alpha = point_alpha)
 
} else {
aes_mapping <- aes_string(x = input$x_var, y = input$y_var)
 
# Use different point geom specification, depending on if we're separating
# by sex.
points <- geom_point(shape = 21, alpha = point_alpha)
}
 
 
 
# Base plot
p <- ggplot(hw_sub, mapping = aes_mapping) +
points +
theme_bw() +
scale_colour_hue(l = 40) +
scale_shape(solid = FALSE) +
# # Show the original range
scale_x_continuous(limits = range(xdat)) +
scale_y_continuous(limits = range(ydat))
 
# ------------------------------------------------------------------
# If the range has been limited, draw lines displaying the limits
 
if (max(input$x_range) != max(xdat)) {
p <- p + geom_vline(xintercept = max(input$x_range), linetype = "dashed",
alpha = 0.3)
}
if (min(input$x_range) != min(xdat)) {
p <- p + geom_vline(xintercept = min(input$x_range), linetype = "dashed",
alpha = 0.3)
}
 
if (max(input$y_range) != max(ydat)) {
p <- p + geom_hline(yintercept = max(input$y_range), linetype = "dashed",
alpha = 0.3)
}
if (min(input$y_range) != min(ydat)) {
p <- p + geom_hline(yintercept = min(input$y_range), linetype = "dashed",
alpha = 0.3)
}
 
 
# ------------------------------------------------------------------
# Add model lines
 
if (input$mod_linear) {
p <- p + geom_smooth(method = lm, se = FALSE, size = 0.75,
linetype = "dotdash")
}
if (input$mod_quadratic) {
p <- p + geom_smooth(method = lm, se = FALSE, formula = y ~ x + I(x^2),
size = .75, linetype = "dashed")
}
if (input$mod_loess) {
p <- p + geom_smooth(method = loess, se = FALSE, linetype = "solid",
span = input$mod_loess_span)
}
 
print(p)
})
 
 
# ------------------------------------------------------------------
# Create renderUI sliders for x and y range, because their limits
# depend on the selected x and y variables.
 
output$x_range_slider <- renderUI({
xmin <- floor(min(hw[[input$x_var]]))
xmax <- ceiling(max(hw[[input$x_var]]))
 
sliderInput(inputId = "x_range",
label = paste("Limit range"),
min = xmin, max = xmax, value = c(xmin, xmax))
})
 
output$y_range_slider <- renderUI({
ymin <- floor(min(hw[[input$y_var]]))
ymax <- ceiling(max(hw[[input$y_var]]))
 
sliderInput(inputId = "y_range",
label = paste("Limit range"),
min = ymin, max = ymax, value = c(ymin, ymax))
})
 
 
# ------------------------------------------------------------------
# Functions for creating models and printing summaries
 
make_model <- function(model_type, formula, ...) {
# Get the subset of the data limited by the specified range
hw_sub <- limit_data_range()
if (is.null(hw_sub))
return()
 
# In order to get the output to print the formula in a nice way, we'll
# use do.call here with some quoting.
do.call(model_type, args = list(formula = formula, data = quote(hw_sub), ...))
}
 
output$mod_linear_text <- renderPrint({
formula <- paste(input$y_var, "~", input$x_var)
 
# Use sex as a predictor variable
if (input$sex) {
formula <- paste(formula, " * sex", sep = "")
}
 
summary(make_model("lm", formula))
})
 
output$mod_quadratic_text <- renderPrint({
formula <- paste(input$y_var, " ~ ", "I(", input$x_var, "^2) + ",
input$x_var, sep = "")
 
# Use sex as a predictor variable
if (input$sex) {
formula <- paste(formula, " * sex", sep = "")
}
 
summary(make_model("lm", formula))
})
 
output$mod_loess_text <- renderPrint({
formula <- paste(input$y_var, "~", input$x_var)
summary(make_model("loess", formula, span = input$mod_loess_span))
})
 
 
})
ui.r
R
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library(shiny)
 
shinyUI(pageWithSidebar(
 
headerPanel("Height and weight of schoolchildren"),
 
sidebarPanel(
 
wellPanel(
selectInput(inputId = "x_var",
label = "X variable",
choices = c("Age" = "ageYear",
"Height (inches)" = "heightIn",
"Weight (pounds)" = "weightLb"),
selected = "Age"
),
 
uiOutput("x_range_slider")
),
 
 
wellPanel(
selectInput(inputId = "y_var",
label = "Y variable",
choices = c("Age" = "ageYear",
"Height (inches)" = "heightIn",
"Weight (pounds)" = "weightLb"),
selected = "Height (inches)"
),
 
uiOutput("y_range_slider")
),
 
checkboxInput(inputId = "sex",
label = "Separate male/female",
value = FALSE),
 
wellPanel(
p(strong("Model predictions")),
checkboxInput(inputId = "mod_linear", label = "Linear (dot-dash)"),
checkboxInput(inputId = "mod_quadratic", label = "Quadratic (dashed)"),
checkboxInput(inputId = "mod_loess", label = "Locally weighted LOESS (solid)"),
conditionalPanel(
condition = "input.mod_loess == true",
sliderInput(inputId = "mod_loess_span", label = "Smoothing (alpha)",
min = 0.15, max = 1, step = 0.05, value = 0.75)
)
)
),
 
mainPanel(
plotOutput(outputId = "main_plot"),
 
conditionalPanel("input.mod_linear == true",
p(strong("Linear model")),
verbatimTextOutput(outputId = "mod_linear_text")
),
 
conditionalPanel("input.mod_quadratic == true",
p(strong("Quadratic model")),
verbatimTextOutput(outputId = "mod_quadratic_text")
),
 
conditionalPanel("input.mod_loess == true",
p(strong("LOESS model")),
conditionalPanel("input.sex == true",
p("Note: categorical variable ", code("sex"),
" cannot be used as a predictor in a LOESS model.",
" (The plot above uses two separate models.)")
),
verbatimTextOutput(outputId = "mod_loess_text")
)
 
)
))

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