stat_gof | R Documentation |
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",
...
)
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
position |
"dodge" or "identity" |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
show.bias |
whether to show bias |
label.format |
format string for label, default |
x |
A numeric vector or unit object specifying x-values. |
y |
A numeric vector or unit object specifying y-values. |
inherit.aes |
If |
... |
Other arguments passed on to |
stat |
The statistical transformation to use on the data for this layer, as a string. |
hjust |
Horizontal justification (in |
vjust |
Vertical justification (in |
size |
text size in pts. |
formula |
an object of class |
digits |
the number of significant digits to be
passed to |
family |
Font family |
b
: the object returned by broom::tidy()
s
: the object returned by broom::glance()
*R*^2 = {str_num(s$r.squared, digits)}
slope
:
pvalue
:
pcode
: significant code, e.g., **
, *
, -
No return. This function is used to calculate data for gglot2 geom_*
,
just like ggplot2::stat_smooth()
.
library(ggplot2)
library(data.table)
dat <- data.table(mtcars)
dat$cyl <- as.factor(dat$cyl)
table(dat$cyl)
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)
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