The geometry is based on geom_point. See the documentation for those functions for more details.

geom_point_interactive(mapping = NULL, data = NULL,
  stat = "identity", position = "identity", na.rm = FALSE,
  show.legend = NA, inherit.aes = TRUE, ...)

Arguments

mapping

The aesthetic mapping, see geom_point.

data

A data frame, see geom_point.

stat

The statistical transformation to use on the data for this layer, as a string, see geom_point.

position

Postion adjustment, see geom_point.

na.rm

See geom_point.

show.legend

See geom_point.

inherit.aes

See geom_point.

...

other arguments passed on to layer. See geom_point.

Note

The following shapes id 3, 4 and 7 to 14 are composite symbols and should not be used.

See also

Examples

# add interactive points to a ggplot ------- library(ggplot2) dataset <- structure(list(qsec = c(16.46, 17.02, 18.61, 19.44, 17.02, 20.22 ), disp = c(160, 160, 108, 258, 360, 225), carname = c("Mazda RX4", "Mazda RX4 Wag", "Datsun 710", "Hornet 4 Drive", "Hornet Sportabout", "Valiant"), wt = c(2.62, 2.875, 2.32, 3.215, 3.44, 3.46)), row.names = c("Mazda RX4", "Mazda RX4 Wag", "Datsun 710", "Hornet 4 Drive", "Hornet Sportabout", "Valiant"), class = "data.frame") dataset
#> qsec disp carname wt #> Mazda RX4 16.46 160 Mazda RX4 2.620 #> Mazda RX4 Wag 17.02 160 Mazda RX4 Wag 2.875 #> Datsun 710 18.61 108 Datsun 710 2.320 #> Hornet 4 Drive 19.44 258 Hornet 4 Drive 3.215 #> Hornet Sportabout 17.02 360 Hornet Sportabout 3.440 #> Valiant 20.22 225 Valiant 3.460
# plots gg_point = ggplot( data = dataset, mapping = aes(x = wt, y = qsec, color = disp, tooltip = carname, data_id = carname) ) + geom_point_interactive() + theme_minimal() girafe(ggobj = gg_point, width = .7)