stat_gof

stat_gof

stat_gof(
  mapping = NULL,
  data = NULL,
  geom = GeomRichTextNpc,
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  show.bias = TRUE,
  label.format = fmt_gof,
  x = 0.05,
  y = 0.95,
  inherit.aes = TRUE,
  ...
)

geom_gof(
  mapping = NULL,
  data = NULL,
  stat = StatGOF,
  position = "identity",
  ...,
  show.bias = TRUE,
  label.format = fmt_gof,
  x = 0,
  y = 1,
  hjust = 0,
  vjust = 1,
  size = 5,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

stat_reg(
  mapping = NULL,
  data = NULL,
  formula = y ~ x,
  digits = 2,
  units = "",
  format = paste0("Slope = {str_num(slope, digits)}{unit}",
    ", p-value = {str_num(pvalue, digits)}"),
  fun_slope = NULL,
  x = 0,
  y = 1,
  hjust = 0,
  vjust = 1,
  mar = 0.03,
  height.factor = 1.2,
  family = "Times",
  color = NULL,
  position = "dodge",
  ...
)

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)).

position

"dodge" or "identity"

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. It can also be a named logical vector to finely select the aesthetics to display.

show.bias

whether to show bias

label.format

format string for label, default fmt_gof

x

A numeric vector or unit object specifying x-values.

y

A numeric vector or unit object specifying y-values.

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().

...

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

The statistical transformation to use on the data for this layer, as a string.

hjust

Horizontal justification (in \([0, 1]\))

vjust

Vertical justification (in \([0, 1]\))

formula

an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted. The details of model specification are given under ‘Details’.

digits

the number of significant digits to be passed to format(coef(x), .) when print()ing.

units

A Vector with the length of subplots

family

The typeface to use. The validity of this value will depend on the graphics device being used for rendering the plot. See the systemfonts vignette for guidance on the best way to access fonts installed on your computer. The values "sans", "serif", and "mono" should always be valid and will select the default typeface for the respective styles. However, what is considered default is dependant on the graphics device and the operating system.

Value

No return. This function is used to calculate data for gglot2 geom_*, just like ggplot2::stat_smooth().

Details

• b: the object returned by broom::tidy()

• s: the object returned by broom::glance()

  • *R*^2 = {str_num(s$r.squared, digits)}

• slope:

• pvalue:

• pcode: significant code, e.g., **, *, -

Examples

library(ggplot2)
library(data.table)

dat <- data.table(mtcars)
dat$cyl <- as.factor(dat$cyl)
table(dat$cyl)
#> 
#>  4  6  8 
#> 11  7 14 

ggplot(dat, aes(wt, mpg, color = cyl)) +
    geom_point() +
    stat_reg(data = dat[cyl != 4], y = 1, mar = 0, position = "none") +
    facet_wrap(~cyl)


ggplot(dat, aes(wt, mpg, color = cyl)) +
  geom_point() +
  stat_reg(data = dat[cyl != 4], y = 1,
               position = "dodge",
               height.factor = 1.2,
               unit = "gC m^-2 d^-1")


ggplot(dat, aes(wt, mpg, color = cyl)) +
  geom_point() +
  stat_reg(data = dat[cyl != 4], y = 1,
               position = "none",
               height.factor = 1.2,
               unit = "gC m^-2 d^-1") +
  facet_wrap(~cyl)



ggplot(dat, aes(wt, mpg, color = cyl)) +
    geom_point() +
    stat_gof(x = 0, y = 1) +
    # stat_reg(data = subset(dat, cyl == 4), y = 1, color = "red") +
    # stat_reg(data = subset(dat, cyl == 6), y = 0.8) +
    facet_wrap(~cyl)