geom_parallel_slopes()
fits parallel slopes model and adds its line
output(s) to a ggplot
object. Basically, it fits a unified model with
intercepts varying between groups (which should be supplied as standard
{ggplot2}
grouping aesthetics: group
, color
, fill
,
etc.). This function has the same nature as geom_smooth()
from
{ggplot2}
package, but provides functionality that geom_smooth()
currently doesn't have.
Usage
geom_parallel_slopes(
mapping = NULL,
data = NULL,
position = "identity",
...,
se = TRUE,
formula = y ~ x,
n = 100,
fullrange = FALSE,
level = 0.95,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
Arguments
- mapping
Set of aesthetic mappings created by
aes()
. If specified andinherit.aes = TRUE
(the default), it is combined with the default mapping at the top level of the plot. You must supplymapping
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 toggplot()
.A
data.frame
, or other object, will override the plot data. All objects will be fortified to produce a data frame. Seefortify()
for which variables will be created.A
function
will be called with a single argument, the plot data. The return value must be adata.frame
, and will be used as the layer data. Afunction
can be created from aformula
(e.g.~ head(.x, 10)
).- position
A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The
position
argument accepts the following:The result of calling a position function, such as
position_jitter()
. This method allows for passing extra arguments to the position.A string naming the position adjustment. To give the position as a string, strip the function name of the
position_
prefix. For example, to useposition_jitter()
, give the position as"jitter"
.For more information and other ways to specify the position, see the layer position documentation.
- ...
Other arguments passed on to
layer()
'sparams
argument. These arguments broadly fall into one of 4 categories below. Notably, further arguments to theposition
argument, or aesthetics that are required can not be passed through...
. Unknown arguments that are not part of the 4 categories below are ignored.Static aesthetics that are not mapped to a scale, but are at a fixed value and apply to the layer as a whole. For example,
colour = "red"
orlinewidth = 3
. The geom's documentation has an Aesthetics section that lists the available options. The 'required' aesthetics cannot be passed on to theparams
. Please note that while passing unmapped aesthetics as vectors is technically possible, the order and required length is not guaranteed to be parallel to the input data.When constructing a layer using a
stat_*()
function, the...
argument can be used to pass on parameters to thegeom
part of the layer. An example of this isstat_density(geom = "area", outline.type = "both")
. The geom's documentation lists which parameters it can accept.Inversely, when constructing a layer using a
geom_*()
function, the...
argument can be used to pass on parameters to thestat
part of the layer. An example of this isgeom_area(stat = "density", adjust = 0.5)
. The stat's documentation lists which parameters it can accept.The
key_glyph
argument oflayer()
may also be passed on through...
. This can be one of the functions described as key glyphs, to change the display of the layer in the legend.
- se
Display confidence interval around model lines?
TRUE
by default.- formula
Formula to use per group in parallel slopes model. Basic linear
y ~ x
by default.- n
Number of points per group at which to evaluate model.
- fullrange
If
TRUE
, the smoothing line gets expanded to the range of the plot, potentially beyond the data. This does not extend the line into any additional padding created byexpansion
.- level
Level of confidence interval to use (0.95 by default).
- na.rm
If
FALSE
, the default, missing values are removed with a warning. IfTRUE
, 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, andTRUE
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()
.
Examples
library(dplyr)
library(ggplot2)
ggplot(evals, aes(x = age, y = score, color = ethnicity)) +
geom_point() +
geom_parallel_slopes(se = FALSE)
# Basic usage
ggplot(evals, aes(x = age, y = score, color = ethnicity)) +
geom_point() +
geom_parallel_slopes()
ggplot(evals, aes(x = age, y = score, color = ethnicity)) +
geom_point() +
geom_parallel_slopes(se = FALSE)
# Supply custom aesthetics
ggplot(evals, aes(x = age, y = score, color = ethnicity)) +
geom_point() +
geom_parallel_slopes(se = FALSE, size = 4)
#> Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
#> ℹ Please use `linewidth` instead.
# Fit non-linear model
example_df <- house_prices %>%
slice(1:1000) %>%
mutate(
log10_price = log10(price),
log10_size = log10(sqft_living)
)
ggplot(example_df, aes(x = log10_size, y = log10_price, color = condition)) +
geom_point(alpha = 0.1) +
geom_parallel_slopes(formula = y ~ poly(x, 2))
# Different grouping
ggplot(example_df, aes(x = log10_size, y = log10_price)) +
geom_point(alpha = 0.1) +
geom_parallel_slopes(aes(fill = condition))