add_fun

0th

Percentile

Apply function to plot, without modifying data

Useful when you need two or more layers that apply a summary statistic to the original data.

Usage
add_fun(p, fun, ...)
Arguments
p

a plotly object.

fun

a function. Should take a plotly object as input and return a modified plotly object.

...

arguments passed to fun.

Aliases
  • add_fun
Examples
library(plotly) # NOT RUN { txhousing %>% group_by(city) %>% plot_ly(x = ~date, y = ~median) %>% add_lines(alpha = 0.2, name = "Texan Cities") %>% add_fun(function(plot) { plot %>% filter(city == "Houston") %>% add_lines(name = "Houston") }) %>% add_fun(function(plot) { plot %>% filter(city == "San Antonio") %>% add_lines(name = "San Antonio") }) plot_ly(mtcars, x = ~wt, y = ~mpg) %>% add_markers() %>% add_fun(function(p) { p %>% slice(which.max(mpg)) %>% add_annotations("Good mileage") }) %>% add_fun(function(p) { p %>% slice(which.min(mpg)) %>% add_annotations(text = "Bad mileage") }) # }
Documentation reproduced from package plotly, version 4.5.2, License: MIT + file LICENSE

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