View source: R/geom-unit-circle.r
geom_unit_circle | R Documentation |
geom_unit_circle()
renders the unit circle, centered at the
origin with radius 1.
geom_unit_circle( mapping = NULL, data = NULL, stat = "identity", position = "identity", segments = 60, scale.factor = 1, ..., 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. |
segments |
The number of segments to be used in drawing the circle. |
scale.factor |
The circle radius; should remain at its default value 1
or passed the same value as |
... |
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_unit_circle()
understands the following aesthetics (none required):
alpha
colour
linetype
size
Other geom layers:
geom_axis()
,
geom_isoline()
,
geom_lineranges()
,
geom_origin()
,
geom_text_radiate()
,
geom_vector()
# principal components analysis of overt & chemical diabetes test values heplots::Diabetes[, seq(5L)] %>% princomp(cor = TRUE) %>% as_tbl_ord() %>% cbind_rows(group = heplots::Diabetes$group) %>% augment_ord() %>% print() -> diabetes_pca # note that column standard coordinates are unit vectors rowSums(get_cols(diabetes_pca)^2) # plot column standard coordinates with a unit circle underlaid diabetes_pca %>% ggbiplot(aes(label = name), sec.axes = "cols", scale.factor = 3) + geom_rows_point(aes(color = group), alpha = .25) + geom_unit_circle(alpha = .5, scale.factor = 3) + geom_cols_vector() + geom_cols_text_radiate()
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