Nothing
library(ggvis) library(shiny) set.seed(1233) cocaine <- cocaine[sample(1:nrow(cocaine), 500), ]
Two linked plots. Brushing in the scatter plot will update the histogram.
cocaine$id <- seq_len(nrow(cocaine)) lb <- linked_brush(keys = cocaine$id, "red") cocaine %>% ggvis(~weight, ~price, key := ~id) %>% layer_points(fill := lb$fill, fill.brush := "red", opacity := 0.3) %>% lb$input() # A subset of cocaine, of only the selected points selected <- lb$selected cocaine_selected <- reactive({ cocaine[selected(), ] }) cocaine %>% ggvis(~potency) %>% layer_histograms(width = 5, boundary = 0) %>% add_data(cocaine_selected) %>% layer_histograms(width = 5, boundary = 0, fill := "#dd3333")
A summary of the selected points:
renderPrint( summary(cocaine_selected()) )
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