gf_smooth | R Documentation |
LOESS and linear model smoothers in ggformula
.
gf_smooth(
object = NULL,
gformula = NULL,
data = NULL,
...,
method = "auto",
formula = y ~ x,
se = FALSE,
method.args,
n = 80,
span = 0.75,
fullrange = FALSE,
level = 0.95,
xlab,
ylab,
title,
subtitle,
caption,
geom = "smooth",
stat = "smooth",
position = "identity",
show.legend = NA,
show.help = NULL,
inherit = TRUE,
environment = parent.frame()
)
gf_lm(
object = NULL,
gformula = NULL,
data = NULL,
...,
alpha = 0.3,
lm.args = list(),
interval = "none",
level = 0.95,
fullrange = TRUE,
xlab,
ylab,
title,
subtitle,
caption,
geom = "lm",
stat = "lm",
position = "identity",
show.legend = NA,
show.help = NULL,
inherit = TRUE,
environment = parent.frame()
)
object |
When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples. |
gformula |
A formula with shape |
data |
A data frame with the variables to be plotted. |
... |
Additional arguments. Typically these are
(a) ggplot2 aesthetics to be set with |
method |
Smoothing method (function) to use, accepts either
For If you have fewer than 1,000 observations but want to use the same |
formula |
Formula to use in smoothing function, eg. |
se |
Display confidence interval around smooth? ( |
method.args |
List of additional arguments passed on to the modelling
function defined by |
n |
Number of points at which to evaluate smoother. |
span |
Controls the amount of smoothing for the default loess smoother.
Smaller numbers produce wigglier lines, larger numbers produce smoother
lines. Only used with loess, i.e. when |
fullrange |
If |
level |
Level of confidence interval to use (0.95 by default). |
xlab |
Label for x-axis. See also |
ylab |
Label for y-axis. See also |
title, subtitle, caption |
Title, sub-title, and caption for the plot.
See also |
geom |
A character string naming the geom used to make the layer. |
stat |
A character string naming the stat used to make the layer. |
position |
Either a character string naming the position function used for the layer or a position object returned from a call to a position function. |
show.legend |
A logical indicating whether this layer should be included in
the legends. |
show.help |
If |
inherit |
A logical indicating whether default attributes are inherited. |
environment |
An environment in which to look for variables not found in |
alpha |
Opacity (0 = invisible, 1 = opaque). |
lm.args |
A list of arguments to |
interval |
One of |
a gg object
Positional attributes (a.k.a, aesthetics) are specified using the formula in gformula
.
Setting and mapping of additional attributes can be done through the
use of additional arguments.
Attributes can be set can be set using arguments of the form attribute = value
or
mapped using arguments of the form attribute = ~ expression
.
In formulas of the form A | B
, B
will be used to form facets using
facet_wrap()
or facet_grid()
.
This provides an alternative to
gf_facet_wrap()
and
gf_facet_grid()
that is terser and may feel more familiar to users
of lattice.
Evaluation of the ggplot2 code occurs in the environment of gformula
.
This will typically do the right thing when formulas are created on the fly, but might not
be the right thing if formulas created in one environment are used to create plots
in another.
ggplot2::geom_smooth()
, gf_spline()
gf_smooth()
gf_lm()
gf_smooth(births ~ date, color = ~wday, data = mosaicData::Births78)
gf_smooth(births ~ date,
color = ~wday, data = mosaicData::Births78,
fullrange = TRUE
)
gf_smooth(births ~ date,
color = ~wday, data = mosaicData::Births78,
show.legend = FALSE, se = FALSE
)
gf_smooth(births ~ date,
color = ~wday, data = mosaicData::Births78,
show.legend = FALSE, se = TRUE
)
gf_lm(length ~ width,
data = mosaicData::KidsFeet,
color = ~biggerfoot, alpha = 0.2
) |>
gf_point()
gf_lm(length ~ width,
data = mosaicData::KidsFeet,
color = ~biggerfoot, fullrange = FALSE, alpha = 0.2
)
gf_point()
gf_lm(length ~ width,
color = ~sex, data = mosaicData::KidsFeet,
formula = y ~ poly(x, 2), linetype = "dashed"
) |>
gf_point()
gf_lm(length ~ width,
color = ~sex, data = mosaicData::KidsFeet,
formula = log(y) ~ x, backtrans = exp
) |>
gf_point()
gf_lm(hwy ~ displ,
data = mpg,
formula = log(y) ~ poly(x, 3), backtrans = exp,
interval = "prediction", fill = "skyblue"
) |>
gf_lm(
formula = log(y) ~ poly(x, 3), backtrans = exp,
interval = "confidence", color = "red"
) |>
gf_point()
clotting <- data.frame(
u = c(5,10,15,20,30,40,60,80,100),
lot1 = c(118,58,42,35,27,25,21,19,18),
lot2 = c(69,35,26,21,18,16,13,12,12))
gf_point(lot1 ~ u, data = clotting) |>
gf_smooth(formula = y ~ log(x), method = "glm",
method.args = list(family = Gamma))
gf_point(lot2 ~ u, data = clotting) |>
gf_smooth(formula = y ~ log(x), color = "red", method = "glm",
method.args = list(family = Gamma))
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