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transition-.R
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transition-.R
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#' @rdname gganimate-ggproto
#' @format NULL
#' @usage NULL
#' @export
#' @importFrom ggplot2 ggproto
#' @importFrom stringi stri_replace stri_match stri_detect
Transition <- ggproto('Transition', NULL,
params = NULL,
mapping = '',
var_names = '',
setup_params = function(self, data, params) {
params
},
setup_params2 = function(self, data, params, row_vars) {
params
},
map_data = function(self, data, params, replace = FALSE) {
if (is.null(params$row_id)) return(data)
Map(function(d, id) {
if (length(id) == 0 && !replace) return(d)
id <- if (length(id) > 0) paste0('<', id, '>') else ''
d$group <- as.character(d$group)
d$group <- if (replace && any(stri_detect(d$group, regex = '<.*>'))) {
stri_replace(d$group, id, regex = '<.*>')
} else {
paste0(d$group, id)
}
d
}, d = data, id = params$row_id)
},
expand_data = function(self, data, type, id, match, ease, enter, exit, params, layer_index) {
Map(function(data, type, id, match, ease, enter, exit, layer_index) {
self$expand_layer(data, type, id, match, ease, enter, exit, params, layer_index)
}, data = data, type = type, id = id, match = match, ease = ease, enter = enter, exit = exit, layer_index = layer_index)
},
expand_layer = function(self, data, type, id, match, ease, enter, exit, params, layer_index) {
expanded <- lapply(split(data, data$PANEL), function(data) {
self$expand_panel(data, type, id, match, ease, enter, exit, params, layer_index)
})
do.call(rbind, expanded)
},
expand_panel = function(self, data, type, id, match, ease, enter, exit, params, layer_index) {
stop('The transition has not implemented any data expansion', call. = FALSE)
},
unmap_frames = function(self, data, params) {
lapply(data, function(d) {
split_panel <- stri_match(d$group, regex = '^(.*)(<.*>)(.*)$')
if (is.na(split_panel[1])) return(d)
groups <- paste0(split_panel[, 2], split_panel[, 4])
if (all(stri_detect(groups, regex = '^-?[0-9]+$'))) {
d$group <- as.integer(groups)
} else {
d$group <- groups
}
d$PANEL <- paste0(d$PANEL, split_panel[, 3])
d
})
},
remap_frames = function(self, data, params) {
lapply(data, function(d) {
split_panel <- stri_match(d$PANEL, regex = '^(.*)(<.*>)(.*)$')
if (is.na(split_panel[1])) return(d)
d$PANEL <- as.integer(split_panel[, 2])
d$group <- paste0(d$group, split_panel[, 3])
d
})
},
finish_data = function(self, data, params) {
lapply(data, function(d) {
split_panel <- stri_match(d$group, regex = '^(.+)<(.*)>(.*)$')
if (is.na(split_panel[1])) return(list(d))
d$group <- match(d$group, unique(d$group))
empty_d <- d[0, , drop = FALSE]
d <- split(d, as.integer(split_panel[, 3]))
frames <- rep(list(empty_d), params$nframes)
frames[as.integer(names(d))] <- d
frames
})
},
adjust_nframes = function(self, data, params) {
statics <- self$static_layers(params)
dynamics <- setdiff(seq_along(data), statics)
if (length(dynamics) == 0) {
params$nframes
} else {
length(data[[dynamics[1]]])
}
},
get_frame_data = function(self, data, params, i) {
statics <- seq_along(data) %in% self$static_layers(params)
Map(function(d, s) {
if (s) d else d[i]
}, d = data, s = statics)
},
get_frame_vars = function(self, params) {
params$frame_info
},
static_layers = function(self, params) {
which(lengths(params$row_id) == 0)
},
require_late_tween = function(self, params) {
isTRUE(params$require_stat)
},
get_row_vars = function(self, data) {
vars <- stri_match(data$group, regex = paste0('(.*)<', self$mapping, '>(.*)'))[, -1, drop = FALSE]
if (is.na(vars[1])) return(NULL)
var_names <- c('before', self$var_names, 'after')
structure(lapply(seq_along(var_names), function(i) vars[,i]), names = var_names)
},
get_all_row_vars = function(self, data) {
all_vars <- lapply(data, self$get_row_vars)
var_names <- unique(unlist(lapply(all_vars, names)))
structure(lapply(var_names, function(var) {
lapply(all_vars, `[[`, var)
}), names = var_names)
}
)
#' @importFrom ggplot2 ggplot_add
#' @export
ggplot_add.Transition <- function(object, plot, object_name) {
plot <- as.gganim(plot)
plot$transition <- object
plot
}
# HELPERS -----------------------------------------------------------------
combine_levels <- function(data, var) {
values <- lapply(data, safe_eval, expr = var)
values[lengths(values) != vapply(data, nrow, integer(1))] <- list(numeric())
levels <- lapply(values, function(v) levels(as.factor(v)))
levels <- Reduce(union, levels)
values <- lapply(values, as.character)
values <- split(match(unlist(values), levels), rep(factor(seq_along(values)), lengths(values)))
list(values = values, levels = levels)
}
distribute_frames <- function(statics, transitions, frames) {
total <- sum(c(statics, transitions))
static_frames <- ceiling(statics * frames / total)
transition_frames <- ceiling(transitions * frames / total)
all <- c(static_frames, transition_frames)
n <- rep(seq_along(all), all)
ind <- unlist(lapply(all, seq_len))
n <- table(n[order(ind)[seq_len(frames)]])
ind <- as.integer(names(n))
static_numbers <- ind <= length(statics)
static_frames[ind[static_numbers]] <- n[static_numbers]
transition_frames[ind[!static_numbers] - length(statics)] <- n[!static_numbers]
zero_trans <- which(transition_frames == 0 & static_frames[which(transition_frames == 0) + 1] != 0)
transition_frames[zero_trans] <- 1
static_frames[zero_trans + 1] <- static_frames[zero_trans + 1] - 1
list(static_length = static_frames, transition_length = transition_frames, mod = frames / total)
}
#' @importFrom tweenr tween_constant
get_frame_info <- function(static_levels, static_lengths, transition_lengths, nframes, static_first, static_name, ...) {
if (static_first) {
frames <- as.vector(rbind(static_lengths, transition_lengths))
phase <- rep(rep(c('static', 'transition'), length(static_lengths)), frames)[seq_len(nframes)]
} else {
frames <- as.vector(rbind(transition_lengths, static_lengths))
phase <- rep(rep(c('transition', 'static'), length(static_lengths)), frames)[seq_len(nframes)]
}
statics <- rep(static_levels, each = 2)
if (static_first) {
previous_static <- rep(statics, frames)[seq_len(nframes)]
statics2 <- c(statics[-1], statics[1])
next_static <- rep(statics2, frames)[seq_len(nframes)]
} else {
next_static <- rep(statics, frames)[seq_len(nframes)]
statics2 <- c(statics[length(statics)], statics[-length(statics)])
previous_static <- rep(statics2, frames)[seq_len(nframes)]
}
closest_static <- tween_constant(as.list(statics[c(seq_along(statics), 1)]), frames + 1)[[1]][seq_len(nframes)]
info <- data.frame(
transitioning = phase == 'transition',
previous_ = previous_static,
closest_ = closest_static,
next_ = next_static,
stringsAsFactors = FALSE
)
names(info)[2:4] <- paste0(names(info)[2:4], static_name)
info
}
standardise_times <- function(times, name, to_class = NULL) {
possible_classes <- c('integer', 'numeric', 'POSIXct', 'Date', 'difftime', 'hms')
classes <- vapply(times[lengths(times) != 0], function(x) {
cl <- inherits(x, possible_classes, which = TRUE)
which(cl != 0 & cl == min(cl[cl != 0]))[1]
}, integer(1))
if (anyNA(classes)) stop(name, ' data must either be ', paste0(possible_classes[-length(possible_classes)], collapse = ', '), ', or', possible_classes[length(possible_classes)], call. = FALSE)
if (length(unique(classes)) > 1) stop(name, ' data must be the same class in all layers', call. = FALSE)
cl <- possible_classes[unique(classes)]
if (length(cl) == 1 && (cl == 'difftime' || cl == 'hms')) {
if (is.null(to_class)) {
times <- lapply(times, `units<-`, 'secs')
} else if (to_class == 'POSIXct') {
cl <- to_class
times <- lapply(times, `units<-`, 'secs')
} else if (to_class == 'Date') {
if (cl == 'hms') {
times <- lapply(times, `class<-`, 'difftime')
}
times <- lapply(times, `units<-`, 'days')
cl <- to_class
}
}
if (!is.null(to_class) && length(cl) != 0) if (cl != to_class) stop(name, ' data must be ', to_class, call. = FALSE)
list(
times = lapply(times, as.numeric),
class = cl
)
}
recast_times <- function(time, class) {
switch(
class,
integer = as.integer(round(time)),
numeric = time,
POSIXct = structure(time, class = c('POSIXct', 'POSIXt')),
Date = structure(time, class = 'Date'),
difftime = structure(time, units = 'secs', class = 'difftime'),
hms = structure(time, units = 'secs', class = c('hms','difftime'))
)
}
eval_placeholder <- function(data) {
structure(list(values = lapply(data, function(d) rep('*', nrow(d)))), class = 'placeholder')
}
is_placeholder <- function(x) inherits(x, 'placeholder')