This transition allows you to map a variable in your data to a specific frame in the animation. No tweening of data will be made and the number of frames in the animation will be decided by the number of levels in the frame variable.

transition_manual(frames, ..., cumulative = FALSE)

## Arguments

frames The unquoted name of the column holding the frame membership. Additional variables Keep data from previous frames as part of the current frame data

## Label variables

transition_states makes the following variables available for string literal interpretation, in addition to the general ones provided by animate():

• previous_frame The name of the last frame the animation was at

• current_frame The name of the current frame

• next_frame The name of the next frame in the animation

## Object permanence

transition_manual does not link rows across data to the same graphic element. Every frame is a discrete state and no animation between the states is done.

## Computed Variables

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.

Other transitions: transition_components, transition_events, transition_filter, transition_layers, transition_null, transition_reveal, transition_states, transition_time

## Examples

anim <- ggplot(mtcars, aes(factor(gear), mpg)) +
geom_boxplot() +
transition_manual(gear)

# Using cumulative = TRUE to keep data from older frames
anim2 <- ggplot(mtcars, aes(factor(gear), mpg)) +
geom_boxplot() +
transition_manual(gear, cumulative = TRUE)

# Use factor() to set the order of the frames
anim3 <- ggplot(mtcars, aes(factor(gear), mpg)) +
geom_boxplot() +
transition_manual(factor(gear, levels = c('4', '3', '5')))