picker
lets you zoom, pan, and pick points from a scatter plot.
# install.packages("remotes")
remotes::install_github("hms-dbmi/picker")
library(shiny)
library(picker)
# load example data
load(system.file('extdata/pbmcs.rda', package = 'picker'))
# setup gradient scale legend
scale_legend_props <- list(colorHigh = 'blue', colorLow = '#f5f5f5', high = round(max(exp)), low = min(exp))
text_props <- list()
if (require(repel)) {
# repel labels
label_coords$label <- levels(labels)[as.numeric(label_coords$label)]
label_coords <- repel_text(label_coords, mar = rep(0, 4), fontsize = 16)
# adjust text props to be the same
text_props$getSize <- 16
text_props$getTextAnchor <- 'middle'
text_props$getAlignmentBaseline <- 'center'
} else {
message("See https://github.com/hms-dbmi/repel to install repel")
}
# get colors for gene expression
exp <- scales::rescale(exp, c(0, 1))
expression_colors <- scales::seq_gradient_pal('#f5f5f5', 'blue')(exp)
# legend to show when grid is visible
grid_legend_items = list(
list(color = '#FF0000', label = '↑'),
list(color = '#0000FF', label = '↓'),
list(color = '#989898', label = 'p < .05'),
list(color = '#EAEAEA', label = 'p ≥ .05')
)
ui = shinyUI(fluidPage(
tags$head(tags$style(".picker {border: 1px solid #ddd; margin: 20px 0;}")),
shiny::column(
width = 6,
pickerOutput('clusters', width = '100%', height = '400px'),
pickerOutput('expression', width = '100%', height = '400px'),
verbatimTextOutput('selected')
)
))
server = function(input, output) {
# show selected output
output$selected <- renderPrint({
input$clusters_selected_points
})
# coordinate views (zoom/pan)
clusters_proxy <- picker_proxy('clusters')
observeEvent(input$expression_view_state, {
update_picker(clusters_proxy, input$expression_view_state)
})
expression_proxy <- picker_proxy('expression')
observeEvent(input$clusters_view_state, {
update_picker(expression_proxy, input$clusters_view_state)
})
# change title between grid/scatterplot
observeEvent(input$clusters_show_grid, {
title <- ifelse(input$clusters_show_grid, 'Δ CELLS', '')
update_picker(clusters_proxy, title = title)
})
# render pickers
output$clusters <- renderPicker(
picker(
coords,
cluster_colors,
labels,
label_coords = label_coords,
polygons = polygons,
text_props = text_props,
point_color_polygons = 'white',
grid_legend_items = grid_legend_items)
)
output$expression <- renderPicker(
picker(coords,
expression_colors,
labels,
show_controls = FALSE,
scale_legend_props = scale_legend_props)
)
}
shinyApp(ui = ui, server = server, options = list(launch.browser = TRUE))