This transition allows individual visual components to define their own "life-cycle". This means that the final animation will not have any common "state" and "transition" phase as any component can be moving or static at any point in time.
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The unquoted name of the column holding the time for each state of the components
The range the animation should span. Defaults to the range of time plus enter and exit length
How long time should be spend on enter and exit transitions. Defaults to 0
transition_components makes the following variables available for string
literal interpretation, in addition to the general ones provided by
frame_time gives the time that the current frame corresponds to
transition_components uses the group aesthetic of each layer to identify
which rows in the input data correspond to the same graphic element and will
therefore define stages in time that the element will animate through. The
group aesthetic, if not set, will be calculated from the interaction of all
discrete aesthetics in the layer (excluding
label), so it is often better
to set it explicetly when animating, to make sure your data is interpreted in
the right way. If the group aesthetic is not set, and no discrete aesthetics
exists then all rows will have the same group.
It is possible to use variables calculated by the statistic to define the
transition. Simply inclose the variable in
stat() in the same way as when
using computed variables in aesthetics.
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data <- data.frame( x = runif(10), y = runif(10), size = sample(1:3, 10, TRUE), time = c(1, 4, 6, 7, 9, 6, 7, 8, 9, 10), id = rep(1:2, each = 5) ) anim <- ggplot(data, aes(x, y, group = id, size = size)) + geom_point() + transition_components(time) # By default the time range is set to the range of the time varialbe (plus # any enter and exit length), but this can be overwritten anim2 <- ggplot(data, aes(x, y, group = id, size = size)) + geom_point() + transition_components(time, range = c(4, 8)) # If you are using any enter/exit functions you need to give them some time anim3 <- ggplot(data, aes(x, y, group = id, size = size)) + geom_point() + transition_components(time, enter_length = 2, exit_length = 2) + enter_grow() + exit_fade()
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