This function is a wrapper around labeller() that allows the user to turn facet strip labels into interactive labels via label_interactive().

It requires that the theme()'s strip.text elements are defined as interactive theme elements via element_text_interactive(), see details.

labeller_interactive(.mapping = NULL, ...)

Arguments

.mapping

set of aesthetic mappings created by aes() or aes_(). It should provide mappings for any of the interactive_parameters(). In addition it understands a label parameter for creating a new label text.

...

arguments passed to base function labeller()

Details

The aesthetics set provided via .mapping is evaluated against the data provided by the ggplot2 facet. This means that the variables for each facet are available for using inside the aesthetic mappings. In addition the .label variable provides access to the produced label. See the examples.

The plot's theme is required to have the strip texts as interactive text elements. This involves strip.text or individually strip.text.x and strip.text.y: theme(strip.text.x = element_text_interactive()) theme(strip.text.y = element_text_interactive())

See also

Examples

# use interactive labeller library(ggplot2) library(ggiraph) p1 <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point_interactive(aes(tooltip = row.names(mtcars))) # Always remember to set the theme's strip texts as interactive # no need to set any interactive parameters, they'll be assigned from the labels p1 <- p1 + theme( strip.text.x = element_text_interactive(), strip.text.y = element_text_interactive() ) # simple facet p <- p1 + facet_wrap( vars(gear), labeller = labeller_interactive(aes(tooltip = paste("Gear:", gear))) ) x <- girafe(ggobj = p) if (interactive()) print(x) # With two vars. When the .multi_line labeller argument is TRUE (default), # supply a different labeller for each var p <- p1 + facet_wrap( vars(gear, vs), labeller = labeller_interactive( gear = labeller_interactive(aes(tooltip = paste("Gear:", gear))), vs = labeller_interactive(aes(tooltip = paste("VS:", vs))) ) ) x <- girafe(ggobj = p) if (interactive()) print(x) # When the .multi_line argument is FALSE, the labels are joined and # the same happens with the data, so we can refer to both variables in the aesthetics! p <- p1 + facet_wrap( vars(gear, vs), labeller = labeller_interactive( aes(tooltip = paste0("Gear: ", gear, "\nVS: ", vs)), .multi_line = FALSE ) ) x <- girafe(ggobj = p) if (interactive()) print(x) # Example with facet_grid: p <- p1 + facet_grid( vs + am ~ gear, labeller = labeller( gear = labeller_interactive(aes( tooltip = paste("gear:", gear), data_id = paste0("gear_", gear) )), vs = labeller_interactive(aes( tooltip = paste("VS:", vs), data_id = paste0("vs_", vs) )), am = labeller_interactive(aes( tooltip = paste("AM:", am), data_id = paste0("am_", am) )) ) ) x <- girafe(ggobj = p) if (interactive()) print(x) # Same with .rows and .cols and .multi_line = FALSE p <- p1 + facet_grid( vs + am ~ gear, labeller = labeller( .cols = labeller_interactive( .mapping = aes(tooltip = paste("gear:", gear)) ), .rows = labeller_interactive( aes(tooltip = paste0("VS: ", vs, "\nAM: ", am)), .multi_line = FALSE ) ) ) x <- girafe(ggobj = p) if (interactive()) print(x) # a more complex example p2 <- ggplot(msleep, aes(x = sleep_total, y = awake)) + geom_point_interactive(aes(tooltip = name)) + theme( strip.text.x = element_text_interactive(), strip.text.y = element_text_interactive() ) # character vector as lookup table conservation_status <- c( cd = "Conservation Dependent", en = "Endangered", lc = "Least concern", nt = "Near Threatened", vu = "Vulnerable", domesticated = "Domesticated" ) # function to capitalize a string capitalize <- function(x) { substr(x, 1, 1) <- toupper(substr(x, 1, 1)) x } # function to cut a string and append an ellipsis cut_str <- function(x, width = 10) { ind <- !is.na(x) & nchar(x) > width x[ind] <- paste0(substr(x[ind], 1, width), "...") x } replace_nas <- function(x) { ifelse(is.na(x), "Not available", x) } # in this example we use the '.label' variable to access the produced label # and we set the 'label' aesthetic to modify the label p <- p2 + facet_grid( vore ~ conservation, labeller = labeller( vore = labeller_interactive( aes(tooltip = paste("Vore:", replace_nas(.label))), .default = capitalize ), conservation = labeller_interactive( aes( tooltip = paste("Conservation:\n", replace_nas(.label)), label = cut_str(.label, 3) ), .default = conservation_status ) ) ) x <- girafe(ggobj = p) if (interactive()) print(x)