gordon-posit commited on
Commit
2825515
1 Parent(s): 0e56e91

Change to simplepenguins

Browse files
Files changed (4) hide show
  1. .DS_Store +0 -0
  2. Dockerfile +12 -4
  3. app.R +45 -45
  4. penguins.csv +345 -0
.DS_Store ADDED
Binary file (6.15 kB). View file
 
Dockerfile CHANGED
@@ -1,9 +1,17 @@
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- FROM rocker/shiny
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3
  WORKDIR /code
4
 
5
- COPY . .
 
 
 
 
 
 
 
 
6
 
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- EXPOSE 7860
8
 
9
- CMD ["Rscript", "-e", "shiny::runApp('app.R', port = 7860, host = '0.0.0.0')"]
 
1
+ FROM rocker/shiny-verse:latest
2
 
3
  WORKDIR /code
4
 
5
+ # Install stable packages from CRAN
6
+ RUN install2.r --error \
7
+ ggExtra \
8
+ shiny
9
+
10
+ # Install development packages from GitHub
11
+ RUN installGithub.r \
12
+ rstudio/bslib \
13
+ rstudio/httpuv
14
 
15
+ COPY . .
16
 
17
+ CMD ["R", "--quiet", "-e", "shiny::runApp(host='0.0.0.0', port=7860)"]
app.R CHANGED
@@ -1,51 +1,51 @@
1
- #
2
- # This is a Shiny web application. You can run the application by clicking
3
- # the 'Run App' button above.
4
- #
5
- # Find out more about building applications with Shiny here:
6
- #
7
- # http://shiny.rstudio.com/
8
- #
9
-
10
  library(shiny)
11
-
12
- # Define UI for application that draws a histogram
13
- ui <- fluidPage(
14
-
15
- # Application title
16
- titlePanel("Old Faithful Geyser Data"),
17
-
18
- # Sidebar with a slider input for number of bins
19
- sidebarLayout(
20
- sidebarPanel(
21
- sliderInput("bins",
22
- "Number of bins:",
23
- min = 1,
24
- max = 50,
25
- value = 30)
26
- ),
27
-
28
- # Show a plot of the generated distribution
29
- mainPanel(
30
- plotOutput("distPlot")
31
- )
32
- )
 
33
  )
34
 
35
- # Define server logic required to draw a histogram
36
- server <- function(input, output) {
37
-
38
- output$distPlot <- renderPlot({
39
- # generate bins based on input$bins from ui.R
40
- x <- faithful[, 2]
41
- bins <- seq(min(x), max(x), length.out = input$bins + 1)
 
 
 
 
 
 
42
 
43
- # draw the histogram with the specified number of bins
44
- hist(x, breaks = bins, col = 'darkgray', border = 'white',
45
- xlab = 'Waiting time to next eruption (in mins)',
46
- main = 'Histogram of waiting times')
47
- })
 
 
 
48
  }
49
 
50
- # Run the application
51
- shinyApp(ui = ui, server = server)
 
 
 
 
 
 
 
 
 
 
1
  library(shiny)
2
+ library(bslib)
3
+ library(dplyr)
4
+ library(ggplot2)
5
+
6
+ df <- readr::read_csv("penguins.csv")
7
+ # Find subset of columns that are suitable for scatter plot
8
+ df_num <- df |> select(where(is.numeric), -Year)
9
+
10
+ ui <- page_fillable(theme = bs_theme(bootswatch = "minty"),
11
+ layout_sidebar(fillable = TRUE,
12
+ sidebar(
13
+ varSelectInput("xvar", "X variable", df_num, selected = "Bill Length (mm)"),
14
+ varSelectInput("yvar", "Y variable", df_num, selected = "Bill Depth (mm)"),
15
+ checkboxGroupInput("species", "Filter by species",
16
+ choices = unique(df$Species), selected = unique(df$Species)
17
+ ),
18
+ hr(), # Add a horizontal rule
19
+ checkboxInput("by_species", "Show species", TRUE),
20
+ checkboxInput("show_margins", "Show marginal plots", TRUE),
21
+ checkboxInput("smooth", "Add smoother"),
22
+ ),
23
+ plotOutput("scatter")
24
+ )
25
  )
26
 
27
+ server <- function(input, output, session) {
28
+ subsetted <- reactive({
29
+ req(input$species)
30
+ df |> filter(Species %in% input$species)
31
+ })
32
+
33
+ output$scatter <- renderPlot({
34
+ p <- ggplot(subsetted(), aes(!!input$xvar, !!input$yvar)) + list(
35
+ theme(legend.position = "bottom"),
36
+ if (input$by_species) aes(color=Species),
37
+ geom_point(),
38
+ if (input$smooth) geom_smooth()
39
+ )
40
 
41
+ if (input$show_margins) {
42
+ margin_type <- if (input$by_species) "density" else "histogram"
43
+ p <- p |> ggExtra::ggMarginal(type = margin_type, margins = "both",
44
+ size = 8, groupColour = input$by_species, groupFill = input$by_species)
45
+ }
46
+
47
+ p
48
+ }, res = 100)
49
  }
50
 
51
+ shinyApp(ui, server)
 
penguins.csv ADDED
@@ -0,0 +1,345 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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219
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257
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259
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260
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275
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279
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296
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301
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