geom_isoline {gggda} | R Documentation |
Isolines (contour lines)
Description
geom_isoline()
renders isolines along row or column axes.
Usage
geom_isoline(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
isoline_text = TRUE,
by = NULL,
num = NULL,
text_dodge = 0.03,
...,
text.size = 3,
text.angle = 0,
text.colour = NULL,
text.color = NULL,
text.alpha = NULL,
parse = FALSE,
check_overlap = FALSE,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer.
When using a
|
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
|
isoline_text |
Logical; whether to include text value marks along the isolines. |
by , num |
Intervals between elements or number of elements; specify only one. |
text_dodge |
Numeric; the orthogonal distance of the text from the axis or isoline, as a proportion of the minimum of the plot width and height. |
... |
Additional arguments passed to |
text.size , text.angle , text.colour , text.color , text.alpha |
Default aesthetics for tick mark labels. Set to NULL to inherit from the data's aesthetics. |
parse |
If |
check_overlap |
If |
na.rm |
Passed to |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
Details
Isolines are topographical features that separate a plot into regions in which a gradient of interest falls within a specified range. Greenacre (2010) uses them effectively to assist with the projection of markers onto axes.
Value
Aesthetics
geom_isoline()
understands the following aesthetics (required aesthetics
are in bold):
-
x
-
y
-
colour
-
alpha
-
linewidth
-
linetype
-
center
,scale
-
hjust
-
vjust
-
family
-
fontface
-
group
References
Greenacre MJ (2010) Biplots in Practice. Fundacion BBVA, ISBN: 978-84-923846. https://www.fbbva.es/microsite/multivariate-statistics/biplots.html
See Also
Other geom layers:
geom_axis()
,
geom_bagplot()
,
geom_lineranges()
,
geom_rule()
,
geom_text_radiate()
,
geom_vector()
Examples
# stack loss gradient
stackloss %>%
lm(formula = stack.loss ~ Air.Flow + Water.Temp + Acid.Conc.) %>%
coef() %>%
as.list() %>% as.data.frame() %>%
subset(select = c(Air.Flow, Water.Temp, Acid.Conc.)) ->
coef_data
# isolines along strongest predictors
scale(stackloss, scale = FALSE) %>%
ggplot(aes(x = Water.Temp, y = Air.Flow)) +
coord_square() +
geom_point(aes(size = stack.loss)) + scale_size_area() +
geom_isoline(data = coef_data)