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Duplicate from posit/shiny-for-r-template

Browse files

Co-authored-by: Gordon Shotwell <gordon-posit@users.noreply.huggingface.co>

Files changed (6) hide show
  1. .DS_Store +0 -0
  2. .gitattributes +34 -0
  3. Dockerfile +17 -0
  4. README.md +11 -0
  5. app.R +51 -0
  6. penguins.csv +345 -0
.DS_Store ADDED
Binary file (6.15 kB). View file
 
.gitattributes ADDED
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
Dockerfile ADDED
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+ FROM rocker/shiny-verse:latest
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+
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+ WORKDIR /code
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+
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+ # 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 . .
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+
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+ CMD ["R", "--quiet", "-e", "shiny::runApp(host='0.0.0.0', port=7860)"]
README.md ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ title: Shiny for R template
3
+ emoji: 📚
4
+ colorFrom: blue
5
+ colorTo: yellow
6
+ sdk: docker
7
+ pinned: false
8
+ duplicated_from: posit/shiny-for-r-template
9
+ ---
10
+
11
+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.R ADDED
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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
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219
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220
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221
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222
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257
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258
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259
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260
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261
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269
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271
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272
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273
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274
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275
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276
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279
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284
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296
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299
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301
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303
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312
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313
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314
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317
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332
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