View source: R/2_ggproto_visualize.r
proto_basis | R Documentation |
Adds basis axes to the animation, the direction and magnitude of contributions of the variables to the projection space inscribed in a unit circle for 2D or rectangle of unit width for 1D.
proto_basis(
position = c("left", "center", "right", "bottomleft", "topright", "full", "off"),
manip_col = "blue",
line_size = 0.6,
text_size = 4
)
proto_basis1d(
position = c("bottom1d", "floor1d", "top1d", "full", "off"),
manip_col = "blue",
segment_size = 2,
text_size = 4,
text_offset = -1.15
)
position |
The position, to place the basis axes relative to the
data. |
manip_col |
The color to highlight the manipulation variable with. Not applied if the tour isn't a manual tour. Defaults to "blue". |
line_size |
(2D bases only) the thickness of the lines used to make the axes and unit circle. Defaults to .6. |
text_size |
Size of the text label of the variables. Defaults to 4. |
segment_size |
(1D bases only) the width thickness of the rectangle bar showing variable magnitude on the axes. Defaults to 2. |
text_offset |
The horizontal offset of the text labels relative to the variable contributions in the basis between (-1, 1). Defaults to -1.15. |
Other ggtour proto functions:
append_fixed_y()
,
facet_wrap_tour()
,
ggtour()
,
proto_default()
,
proto_density()
,
proto_density2d()
,
proto_hex()
,
proto_highlight()
,
proto_hline0()
,
proto_origin()
,
proto_point()
,
proto_text()
library(spinifex)
dat <- scale_sd(penguins_na.rm[, 1:4])
clas <- penguins_na.rm$species
bas <- basis_pca(dat)
mv <- manip_var_of(bas)
## 2D case:
mt_path <- manual_tour(bas, manip_var = mv)
ggt <- ggtour(mt_path, dat, angle = .3) +
proto_point() +
proto_basis()
animate_plotly(ggt)
## Customize basis
ggt2 <- ggtour(mt_path, dat) +
proto_basis(position = "right", manip_col = "green",
line_size = .8, text_size = 8)
animate_plotly(ggt2)
## 1D case:
bas1d <- basis_pca(dat, d = 1)
mv <- manip_var_of(bas1d, 3)
mt_path1d <- manual_tour(bas1d, manip_var = mv)
ggt1d <- ggtour(mt_path1d, dat, angle = .3) +
proto_density() +
proto_basis1d()
animate_plotly(ggt1d)
## Customized basis1d
ggt1d <- ggtour(mt_path1d, dat, angle = .3) +
proto_density() +
proto_basis1d(position = "bottom",
manip_col = "pink",
segment_size = 3,
text_size = 6,
text_offset = 1.2)
animate_plotly(ggt1d)
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