stat_smooth_func: Add function equation to statistical smoothing

In pbsag/outviz: Build Output Tables and Visualizations for Travel Models

Description

Add function equation to statistical smoothing

Usage

stat_smooth_func(mapping = NULL, data = NULL, geom = "smooth",
  position = "identity", ..., method = "auto", formula = y ~ x,
  se = TRUE, n = 80, span = 0.75, fullrange = FALSE, level = 0.95,
  method.args = list(), na.rm = FALSE, show.legend = FALSE,
  inherit.aes = TRUE, xpos = NULL, ypos = NULL)

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.
geom	Use to override the default connection between geom_smooth and stat_smooth.
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
...	other arguments passed on to layer. These are often aesthetics, used to set an aesthetic to a fixed value, like color = "red" or size = 3. They may also be parameters to the paired geom/stat.
method	smoothing method (function) to use, eg. "lm", "glm", "gam", "loess", "rlm". For method = "auto" the smoothing method is chosen based on the size of the largest group (across all panels). loess is used for than 1,000 observations; otherwise gam is used with formula = y ~ s(x, bs = "cs"). Somewhat anecdotally, loess gives a better appearance, but is O(n^2) in memory, so does not work for larger datasets.
formula	formula to use in smoothing function, eg. y ~ x, y ~ poly(x, 2), y ~ log(x)
se	display confidence interval around smooth? (TRUE by default, see level to control
n	number of points to evaluate smoother at
span	Controls the amount of smoothing for the default loess smoother. Smaller numbers produce wigglier lines, larger numbers produce smoother lines.
fullrange	should the fit span the full range of the plot, or just the data
level	level of confidence interval to use (0.95 by default)
method.args	List of additional arguments passed on to the modelling function defined by method.
na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
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.
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.
xpos	X-position for text
ypos	Y-position for text

Computed variables

y

predicted value

ymin

lower pointwise confidence interval around the mean

ymax

upper pointwise confidence interval around the mean

se

standard error

Author(s)

kdauria

Source

https://gist.github.com/kdauria/524eade46135f6348140

pbsag/outviz documentation built on Dec. 7, 2019, 5:50 a.m.