library(shiny)
# Define UI for application that plots random distributions
shinyUI(pageWithSidebar(
# Application title
headerPanel("Estimating Yield loss from the emergence of corn borer instect resistance - Linacre and Thompson. 2014. Ecological Modelling 171(3):271-278."),
# Sidebar with a slider input for number of observations
sidebarPanel(
sliderInput("borers",
"Number of borers per plant:",
min = 0.5,
max = 3,
value = 1.19),
p("This shows the impact of varying the number of borers per plant."),
hr(),
sliderInput("resistance",
"Resistance growth rate:",
min = 0.001,
max = 0.5,
value = 0.01),
p("The spread of insect resistance is modelled using a logistic growth equation. Varing the resistance growth rate shows the spread of resistance has on yields."),
sliderInput("respop",
"Initial proportion of the population that is resistant:",
min = 0.001,
max = 0.25,
value = 0.01),
p("This shows the impact of varying the proportion of the initial population with resistance genes."),
sliderInput("q",
"The mortality rate among non-resistant borers:",
min = 0.01,
max = 0.99,
value = 0.90),
p("This shows the impact of varying the effectiveness of Bt-toxin on the mortality of non-resistant borers.")
),
# Show a plot of the generated distribution
mainPanel(
# Blurb
h4("Something"),
plotOutput("distPlot", height=500),
br(),
h4("Disclaimer: various assumputions have been made in this model, which may not provide a reliable guide to the future.
There are various risks including, but not limited to: modeling, poltical, technology, economic, and environmental risks."),
br(),
h4("Built using ",span(img(src="http://shiny.rstudio.com/tutorial/lesson2/www/bigorb.png", height = 50, width = 50)))
)
))
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