View source: R/2_ggproto_visualize.r
ggtour | R Documentation |
ggtour()
initializes a ggplot object for a tour. proto_*
functions are
added to the tour, analogous to ggplot() + geom_*
. The final tour object is
then animated with animate_plotly()
or animate_ggtour()
, or passed to
filmstrip()
for static plot faceting on frames.
ggtour(
basis_array,
data = NULL,
angle = 0.05,
basis_label = NULL,
data_label = NULL,
do_center_frame = TRUE
)
basis_array |
An array of projection bases for the tour, as produced
with |
data |
Numeric data to project. If left NULL, will check if it data is
stored as an attribute of the the |
angle |
Target angle (radians) for interpolation frames between
frames of the |
basis_label |
Labels for basis display, a character vector with length equal to the number of variables. Defaults to NULL; 3 character abbreviation from colnames of data or rownames of basis. |
data_label |
Labels for |
do_center_frame |
Whether or not to center the mean within each animation frame. Defaults to TRUE. |
Other ggtour proto functions:
append_fixed_y()
,
facet_wrap_tour()
,
proto_basis()
,
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)
mt_path <- manual_tour(bas, manip_var = mv)
## d = 2 case
ggt <- ggtour(basis_array = mt_path, data = dat, angle = .3) +
proto_default(aes_args = list(color = clas, shape = clas),
identity_args = list(size = 1.5, alpha = .8))
animate_plotly(ggt)
## Finer control calling individual proto_* functions
ggt <- ggtour(basis_array = mt_path, data = dat, angle = .3) +
proto_point(aes_args = list(color = clas, shape = clas),
identity_args = list(size = 1.5, alpha = .8),
row_index = which(clas == levels(clas)[1])) +
proto_basis(position = "right",
manip_col = "red",
text_size = 7L) +
proto_origin()
animate_plotly(ggt)
## d = 1 case
bas1d <- basis_pca(dat, d = 1)
mt_path1d <- manual_tour(basis = bas1d, manip_var = mv)
ggt1d <- ggtour(basis_array = mt_path1d, data = dat, angle = .3) +
proto_default1d(aes_args = list(fill= clas, color = clas))
animate_plotly(ggt1d)
## Single basis
ggt <- ggtour(basis_array = bas, data = dat) +
proto_default(aes_args = list(fill= clas, color = clas))
## ggtour() returns a static ggplot2 plot
ggt
### or as html widget with tooltips
animate_plotly(ggt)
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