Title: | Multiple Summary Statistics for Binned Stats/Geometries |
Version: | 1.0.1 |
Description: | Provides the ggplot binning layer stat_summaries_hex(), which functions similar to its singular form, but allows the use of multiple statistics per bin. Those statistics can be mapped to multiple bin aesthetics. |
URL: | https://github.com/flying-sheep/ggplot.multistats |
BugReports: | https://github.com/flying-sheep/ggplot.multistats/issues |
License: | GPL-3 |
Encoding: | UTF-8 |
Imports: | methods, rlang, scales, hexbin, ggplot2 (≥ 3.3.0) |
RoxygenNote: | 7.2.3 |
NeedsCompilation: | no |
Packaged: | 2024-09-25 12:16:05 UTC; phil |
Author: | Philipp Angerer |
Maintainer: | Philipp Angerer <phil.angerer@gmail.com> |
Repository: | CRAN |
Date/Publication: | 2024-09-25 12:40:10 UTC |
Draw a Hexagon
Description
The default legend key drawing function for stat_summaries_hex
.
This function can be used as key_glyph
parameter by any layer.
Usage
draw_key_hexagon(data, params, size)
Arguments
data |
A single row data frame containing the scaled aesthetics to display in this key |
params |
A list of additional parameters supplied to the geom. |
size |
Width and height of key in mm. |
Value
A hexagonal polygonGrob
.
See Also
The legend key drawing functions built into ggplot:
draw_key
.
Examples
library(ggplot2)
ggplot(iris, aes(Sepal.Length, Sepal.Width)) +
geom_hex(key_glyph = 'hexagon') +
guides(fill = 'legend')
Normalize a List of Functions
Description
Takes a list of functions and function names (or a vector of function names) and names it. Requires all entries with functions to be named and adds names to functions that were specified as names.
Usage
normalize_function_list(funs)
Arguments
funs |
Valid list or vector of function names and/or functions. |
Value
Named list or character vector of functions.
Examples
normalize_function_list(c(value = 'mean'))
normalize_function_list(c('median', n = 'length'))
normalize_function_list(list('median', n = length))
normalize_function_list(list(Sum = sum, Custom = function(x) sum(nchar(as.character(x)))))
Multi-Stat Binning Layer
Description
Very similar to stat_summary_hex
, but allows
for multiple stats to be captured using the funs
parameter.
Usage
stat_summaries_hex(
mapping = NULL,
data = NULL,
geom = "hex",
position = "identity",
...,
bins = 30,
binwidth = NULL,
drop = TRUE,
funs = c(value = "mean"),
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
key_glyph = NULL
)
StatSummariesHex
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
geom |
The geometric object to use to display the data, either as a
|
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
... |
Other arguments passed on to |
bins |
numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default. |
binwidth |
Numeric vector giving bin width in both vertical and
horizontal directions. Overrides |
drop |
drop if the output of |
funs |
A list or vector of functions and function names.
See |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
key_glyph |
A legend key drawing function or a string providing
the function name minus the |
Format
An object of class StatSummariesHex
(inherits from Stat
, ggproto
, gg
) of length 4.
See Also
normalize_function_list
for the funs
parameter
and draw_key_hexagon
for the legend entry.
Examples
library(ggplot2)
# Define the variable used for the stats using z
ggplot_base <- ggplot(iris, aes(Sepal.Width, Sepal.Length, z = Petal.Width))
# The default is creating `after_stat(value)` containing the mean
ggplot_base + stat_summaries_hex(aes(fill = after_stat(value)), bins = 5)
# but you can specify your own stats
ggplot_base + stat_summaries_hex(
aes(fill = after_stat(median), alpha = after_stat(n)),
funs = c('median', n = 'length'),
bins = 5)