geom_isoline | R Documentation |
geom_isoline()
renders isolines along row or column axes.
geom_isoline( mapping = NULL, data = NULL, stat = "identity", position = "identity", isoline_text = TRUE, by = NULL, num = NULL, label_dodge = 0.03, ..., parse = FALSE, check_overlap = FALSE, 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. |
isoline_text |
Logical; whether to include text value marks along the isolines. |
by, num |
Intervals between elements or number of elements; specify only one. |
label_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 |
parse |
If |
check_overlap |
If |
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_isoline()
understands the following aesthetics (required aesthetics
are in bold):
x
y
colour
alpha
linewidth
linetype
center
, scale
angle
hjust
vjust
family
fontface
text_colour
, text_alpha
, text_size
,
group
The prefixed aesthetics text_*
are used by the text elements and will
inherit any values passed to their un-prefixed counterparts.
Other geom layers:
geom_axis()
,
geom_lineranges()
,
geom_origin()
,
geom_text_radiate()
,
geom_unit_circle()
,
geom_vector()
# Reaven & Miller overt & chemical diabetes test data and group classification head(heplots::Diabetes) # default (standardized) linear discriminant analysis of groups on tests diabetes_lda <- MASS::lda(group ~ ., heplots::Diabetes) # bestow 'tbl_ord' class & augment observation, centroid, and variable fields as_tbl_ord(diabetes_lda) %>% augment_ord() %>% print() -> diabetes_lda # row-standard biplot diabetes_lda %>% confer_inertia(1) %>% ggbiplot(aes(label = name), elements = "active") + theme_bw() + theme_biplot() + geom_rows_text() + geom_cols_vector(subset = c(1, 3, 4)) + geom_cols_text_radiate(subset = c(1, 3, 4), size = 3) + geom_cols_isoline(subset = c(1, 3, 4), alpha = .25, num = 4L, label_dodge = -.03, text_alpha = .5, text_size = 3) + ggtitle( "LDA of Reaven & Miller diabetes groups", "Row-standard biplot of standardized LDA" )
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