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RenvDocker example for Docker + Shiny. See https://appsilon.com/renv-with-docker/ for more details.
Raw
Dockerfile
# Base R Shiny image
FROM rocker/shiny
# Make a directory in the container
RUN mkdir /home/shiny-app
# Install Renv
RUN R -e "install.packages('renv', repos = c(CRAN = 'https://cloud.r-project.org'))"
# Copy Renv files and Shiny app
WORKDIR /home/shiny-app/
RUN mkdir -p renv
COPY app.R app.R
COPY renv.lock renv.lock
# COPY .Rprofile .Rprofile
# COPY renv/activate.R renv/activate.R
# COPY renv/settings.json renv/settings.json
# Restore the R environment
RUN R -e "renv::restore()"
# Expose the application port
EXPOSE 8180
# Run the R Shiny app
CMD Rscript /home/shiny-app/app.R
Raw
renv.lock
{
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}
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"Source": "Repository",
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"methods",
"stats",
"utils"
],
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},
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}
}
}
Raw
RenvDocke_app.R
# The filename should be app.R
library(shiny)
library(dplyr)
library(ggplot2)
library(gapminder)
# Specify the application port
options(shiny.host = "0.0.0.0")
options(shiny.port = 8180)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
tags$h4("Gapminder Dashboard"),
tags$hr(),
selectInput(inputId = "inContinent", label = "Continent", choices = unique(gapminder$continent), selected = "Europe")
),
mainPanel(
plotOutput(outputId = "outChartLifeExp"),
plotOutput(outputId = "outChartGDP")
)
)
)
server <- function(input, output, session) {
# Filter data and store as reactive value
data <- reactive({
gapminder %>%
filter(continent == input$inContinent) %>%
group_by(year) %>%
summarise(
AvgLifeExp = round(mean(lifeExp)),
AvgGdpPercap = round(mean(gdpPercap), digits = 2)
)
})
# Common properties for charts
chart_theme <- ggplot2::theme(
plot.title = element_text(hjust = 0.5, size = 20, face = "bold"),
axis.title.x = element_text(size = 15),
axis.title.y = element_text(size = 15),
axis.text.x = element_text(size = 12),
axis.text.y = element_text(size = 12)
)
# Render Life Exp chart
output$outChartLifeExp <- renderPlot({
ggplot(data(), aes(x = year, y = AvgLifeExp)) +
geom_col(fill = "#0099f9") +
geom_text(aes(label = AvgLifeExp), vjust = 2, size = 6, color = "#ffffff") +
labs(title = paste("Average life expectancy in", input$inContinent)) +
theme_classic() +
chart_theme
})
# Render GDP chart
output$outChartGDP <- renderPlot({
ggplot(data(), aes(x = year, y = AvgGdpPercap)) +
geom_line(color = "#f96000", size = 2) +
geom_point(color = "#f96000", size = 5) +
geom_label(
aes(label = AvgGdpPercap),
nudge_x = 0.25,
nudge_y = 0.25
) +
labs(title = paste("Average GDP per capita in", input$inContinent)) +
theme_classic() +
chart_theme
})
}
shinyApp(ui = ui, server = server)
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