Apply a function to each element of a vector and return a vector of plots

Apply a function to each element of a vector and return a vector of plots

map_plot(.x, .f, ...)

Arguments

.x	a list or atomic vector (see map for details)
.f	a function, formula, or atomic vector (see map for details)
...	additional arguments passed on to .f (see map for details)

Details

See map

Examples

# \donttest{
library(dplyr)
library(tidyr)
library(purrr)
library(plotly)
library(gapminder)

# nest gapminder data by country
by_country <- gapminder %>%
  nest(data = !one_of(c("country", "continent")))

# add in a plot column with map_plot
by_country <- by_country %>% mutate(
  panel = map_plot(data, function(x) {
    plot_ly(data = x, x = ~year, y = ~lifeExp,
      type = "scatter", mode = "markers") %>%
      layout(
        xaxis = list(range = c(1948, 2011)),
        yaxis = list(range = c(10, 95)))
  }))

# plot it
by_country %>%
  trelliscope("gapminder", nrow = 2, ncol = 7, width = 300)

# example using mpg data
ggplot2::mpg %>%
  nest(data = !one_of(c("manufacturer", "class"))) %>%
  mutate(panel = map_plot(data, function(x) {
    plot_ly(data = x, x = ~hwy, y = ~cty,
      type = "scatter", mode = "markers")
  })) %>%
  trelliscope(name = "city_vs_highway_mpg")
# }