render_anim | R Documentation |
This function takes a set of frames as produced by save_history(), and creates the projected data and axes in for format needed to create the animation using plotly. It will be useful for showing a tour where mouseover can be used to identify points. Note that for now this only works for 2D projections.
render_anim(
data,
vars = NULL,
frames,
edges = NULL,
axis_labels = NULL,
obs_labels = NULL,
limits = 1,
position = "center"
)
data |
matrix, or data frame containing numeric columns, should be standardised to have mean 0, sd 1 |
vars |
numeric columns of data to be projected, as a vector, eg 1:4 |
frames |
array of projection matrices, should be interpolated already |
edges |
to and from of row id's to connect with an line |
axis_labels |
labels of the axes to be displayed |
obs_labels |
labels of the observations to be available for interactive mouseover |
limits |
value setting the lower and upper limits of projected data, default 1 |
position |
position of the axes: center (default), left of data or off |
list containing indexed projected data, edges, circle and segments for axes
data(flea)
flea_std <- apply(flea[,1:6], 2, function(x) (x-mean(x))/sd(x))
t1 <- save_history(flea_std, max=2)
t1i <- tourr::interpolate(t1, 0.1)
p <- render_anim(data=flea_std, frames=t1i)
if (require(ggplot2)) {
pg <- ggplot() +
geom_path(data=p$circle, aes(x=c1, y=c2, frame=frame)) +
geom_segment(data=p$axes, aes(x=x1, y=y1, xend=x2, yend=y2, frame=frame)) +
geom_text(data=p$axes, aes(x=x2, y=y2, frame=frame, label=axis_labels)) +
geom_point(data=p$frames, aes(x=P1, y=P2, frame=frame, label=obs_labels)) +
coord_equal() +
theme_bw() +
theme(axis.text=element_blank(),
axis.title=element_blank(),
axis.ticks=element_blank(),
panel.grid=element_blank())
if (interactive()) {
require(plotly)
ggplotly(pg, width=500, height=500) |>
animation_button(label="Go") |>
animation_slider(len=0.8, x=0.5, xanchor="center") |>
animation_opts(easing="linear", transition=0, redraw=FALSE)
}
}
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