View source: R/geom-intervals.r
geom_lineranges | R Documentation |
geom_lineranges()
renders horizontal and vertical intervals
for a specified subject or variable; geom_pointranges()
additionally
renders a point at their crosshairs.
geom_lineranges( mapping = NULL, data = NULL, stat = "center", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) geom_pointranges( mapping = NULL, data = NULL, stat = "center", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE )
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, either as a |
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
... |
Additional arguments passed to |
na.rm |
Passed to |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
A ggproto layer.
ggbiplot()
uses ggplot2::fortify()
internally to produce a single data
frame with a .matrix
column distinguishing the subjects ("rows"
) and
variables ("cols"
). The stat layers stat_rows()
and stat_cols()
simply
filter the data frame to one of these two.
The geom layers geom_rows_*()
and geom_cols_*()
call the corresponding
stat in order to render plot elements for the corresponding factor matrix.
geom_dims_*()
selects a default matrix based on common practice, e.g.
points for rows and arrows for columns.
geom_lineranges()
and geom_pointranges()
understand the following
aesthetics (required aesthetics are in bold):
x
xmin
xmax
y
ymin
ymax
'
alpha
colour
linewidth
linetype
size
group
Other geom layers:
geom_axis()
,
geom_isoline()
,
geom_origin()
,
geom_text_radiate()
,
geom_unit_circle()
,
geom_vector()
# compute log-ratio analysis of Freestone primary class composition measurements glass %>% ordinate(cols = c(SiO2, Al2O3, CaO, FeO, MgO), model = lra, compositional = TRUE) %>% confer_inertia("rows") %>% print() -> glass_lra # row-principal biplot with ordinate-wise standard deviations glass_lra %>% ggbiplot(aes(color = Site), sec.axes = "cols", scale.factor = .05) + theme_biplot() + scale_color_brewer(type = "qual", palette = 6) + geom_cols_text(stat = "chull", aes(label = name), color = "#444444") + geom_rows_lineranges(fun.data = mean_sdl, linewidth = .75) + geom_rows_point(alpha = .5) + ggtitle( "Row-principal LRA biplot of Freestone glass measurements", "Ranges 2 sample standard deviations from centroids" )
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