library(shiny)
library(shinylogs)
# Use any email to connect
options(gargle_oauth_email = TRUE)
## Connect to Google Drive, for example:
googledrive::drive_auth(token = readRDS(".secrets/oauth-token.rds"))
## more here => https://gargle.r-lib.org/articles/non-interactive-auth.html
# Classic Iris clustering with Shiny
ui <- fluidPage(
headerPanel("Iris k-means clustering"),
sidebarLayout(
sidebarPanel(
selectInput(
inputId = "xcol",
label = "X Variable",
choices = names(iris)
),
selectInput(
inputId = "ycol",
label = "Y Variable",
choices = names(iris),
selected = names(iris)[[2]]
),
numericInput(
inputId = "clusters",
label = "Cluster count",
value = 3,
min = 1,
max = 9
)
),
mainPanel(
plotOutput("plot1")
)
)
)
server <- function(input, output, session) {
# Store JSON with logs in the temp dir
track_usage(storage_mode = store_googledrive(path = "shinylogs/"))
# classic server logic
selectedData <- reactive({
iris[, c(input$xcol, input$ycol)]
})
clusters <- reactive({
kmeans(selectedData(), input$clusters)
})
output$plot1 <- renderPlot({
palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
"#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))
par(mar = c(5.1, 4.1, 0, 1))
plot(selectedData(),
col = clusters()$cluster,
pch = 20, cex = 3)
points(clusters()$centers, pch = 4, cex = 4, lwd = 4)
})
}
if (interactive())
shinyApp(ui, server)
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