This function is much like tween_elements()
but with a slightly different
syntax and support for many of the newer features such as enter/exits and
tween phase identification. Furthermore it uses tidy evaluation for time and
id, making it easier to change these on the fly. The biggest change in terms
of functionality compared to tween_elements()
is that the easing function
is now given per column and not per row. If different easing functions are
needed for each transition then tween_elements()
is needed.
tween_components(
.data,
ease,
nframes,
time,
id = NULL,
range = NULL,
enter = NULL,
exit = NULL,
enter_length = 0,
exit_length = 0
)
A data.frame with components at different stages
The easing function to use. Either a single string or one for each column in the data set.
The number of frames to calculate for the tween
An unquoted expression giving the timepoint for the different
stages of the components. Will be evaluated in the context of .data
so can
refer to a column from that
An unquoted expression giving the component id for each row. Will
be evaluated in the context of .data
so can refer to a column from that
The range of time points to include in the tween. If NULL
it
will use the range of time
functions that calculate a start state for new observations
that appear in to
or an end state for observations that are not present in
to
. If NULL
the new/old observations will not be part of the tween. The
function gets a data.frame with either the start state of the exiting
observations, or the end state of the entering observations and must return
a modified version of that data.frame. See the Match, Enter, and Exit
section for more information.
The lenght of the opening and closing
transitions if enter
and/or exit
is given. Measured in the same units as
time
A data.frame with the same columns as .data
along with .id
giving
the component id, .phase
giving the state of each component in each frame,
and .frame
giving the frame membership of each row.
Other data.frame tween:
tween_along()
,
tween_appear()
,
tween_elements()
,
tween_events()
,
tween_states()
from_zero <- function(x) {x$x <- 0; x}
data <- data.frame(
x = c(1, 2, 2, 1, 2, 2),
y = c(1, 2, 2, 2, 1, 1),
time = c(1, 4, 10, 4, 8, 10),
id = c(1, 1, 1, 2, 2, 2)
)
data <- tween_components(data, 'cubic-in-out', nframes = 100, time = time,
id = id, enter = from_zero, enter_length = 4)