Plots a miniature glyph or sparkline for each entry of a tf-object. (Capellini are tiny little spaghetti noodles.) Aesthetics x and y specify the location of the glyphs, the tf aesthetic defines their shapes. I realize the naming is weird -- geom_cappelini, geom_cappellini and geom_capelini will work too...

stat_capellini(
  mapping = NULL,
  data = NULL,
  geom = "capellini",
  position = "identity",
  na.rm = TRUE,
  show.legend = NA,
  inherit.aes = TRUE,
  arg = NULL,
  add_lines = FALSE,
  add_boxes = TRUE,
  width = NULL,
  height = NULL,
  ...
)

geom_capellini(
  mapping = NULL,
  data = NULL,
  stat = "capellini",
  position = "identity",
  ...,
  na.rm = TRUE,
  show.legend = NA,
  inherit.aes = TRUE,
  arg = NULL,
  add_lines = TRUE,
  add_boxes = TRUE,
  width = NULL,
  height = NULL,
  box.colour = "#0000001A",
  box.linetype = 1,
  box.fill = NA,
  box.size = 0.1,
  box.alpha = 0.1,
  line.colour = "black",
  line.linetype = 2,
  line.size = 0.3,
  line.alpha = 0.5
)

Arguments

mapping

Set of aesthetic mappings created by aes() or aes_(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options:

If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot().

A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created.

A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).

geom

The geometric object to use display the data

position

Position adjustment, either as a string, or the result of a call to a position adjustment function.

na.rm

remove NAs? defaults to TRUE

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

inherit.aes

If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().

arg

where to evaluate tf -- defaults to the default ;)

add_lines

should a reference line in the middle of the range of the functions' values be added to each glyph? defaults to TRUE

add_boxes

should a box be added to frame each glyph? defaults to TRUE

width

the width of the glyphs. Defaults to 2/3 of the ggplot2::resolution() of the variable for the x-aesthetic, this will be too small if any values are close together.

height

the height of the glyphs. Defaults to 2/3 of the ggplot2::resolution() of the variable for the y-aesthetic, this will be too small if any values are close together.

...

Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

stat

that's "capellini"!

box.colour

aesthetic property of the box

box.linetype

aesthetic property of the box

box.fill

aesthetic property of the box

box.size

aesthetic property of the box

box.alpha

aesthetic property of the box

line.colour

aesthetic property of the reference line

line.linetype

aesthetic property of the reference line

line.size

aesthetic property of of the reference line

line.alpha

aesthetic property of the reference line

tf aesthetic

Mandatory. Used to designate a column of class tf to be visualized as glyphs.

See also

GGally::glyphs

Examples

if (FALSE) # takes a little too long for CRAN library(ggplot2) library(tidyverse)
#> ── Attaching packages ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.0 ──
#> ggplot2 3.3.0 purrr 0.3.4 #> tibble 3.0.1 dplyr 0.8.5 #> tidyr 1.0.2 stringr 1.4.0 #> readr 1.3.1 forcats 0.5.0
#> ── Conflicts ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ── #> x dplyr::filter() masks stats::filter() #> x dplyr::lag() masks stats::lag()
weather <- fda::CanadianWeather canada <- data.frame( place = weather$place, region = weather$region, lat = weather$coordinates[,1], lon = -weather$coordinates[,2], region = weather$region) canada$temp <- tfd(t(weather$dailyAv[,,1]), arg = 1:365) canada$precipl10 <- tfd(t(weather$dailyAv[,,3]), arg = 1:365) %>% tf_smooth
#> using f = 0.15 as smoother span for lowess
canada_map <- data.frame(maps::map("world", "Canada", plot = FALSE)[c("x", "y")]) # map of canada with annual temperature averages in red, precipitation in blue: ggplot(canada, aes(x = lon, y = lat)) + geom_capellini(aes(tf = precipl10), width = 3, height = 5, colour = "blue") + geom_capellini(aes(tf = temp), width = 3, height = 5, colour = "red") + geom_path(data = canada_map, aes(x = x, y = y), alpha = .1) + coord_quickmap()
ggplot(canada, aes(x = lon, y = lat, colour = region)) + geom_capellini(aes(tf = precipl10), width = 5, height = 3, line.linetype = 1, box.fill = "white", box.alpha=.5, box.colour = NA)