我要设置两条曲线的动画,因为其中一条的斜率会发生变化,并且我想显示动画中每种状态下变化的相交点。我知道交点在哪里,但不知道如何在每个状态下将它们包括在图中。
我尝试为每个状态的交点添加一个单独的transition_manual,但随后它只会显示该内容,而不会显示第二个过渡。
library(tidyverse)
library(gganimate)
tbl <- tibble(x = seq(-8, 8, by = .01),
A_1 = 4*x,
B_1 = x^2,
A_2 = 3*x,
B_2 = x^2,
A_3 = 2*x,
B_3 = x^2,
A_4 = x,
B_4 = x^2,
A_5 = 0*x,
B_5 = x^2) %>%
gather(group, density, A_1:B_5) %>%
separate(group, c("group", "type"), sep = "_") %>%
mutate(type = as.numeric(type)) %>%
mutate(Title = case_when(
type == 1 ~ "A = 0, B = 4",
type == 2 ~ "A = 0, B = 3",
type == 3 ~ "A = 0, B = 2",
type == 4 ~ "A = 0, B = 1",
TRUE ~ "A = B = 0"
))
ggplot(tbl) + geom_line(mapping = aes(x = x, y = density, colour = group)) +
transition_states(Title, transition_length = .5, state_length = 2, wrap = TRUE) +
labs(title = '{closest_state}') + ylab("f(x)")
除了不显示相交点之外,这大部分都可以按照我想要的方式进行。
答案 0 :(得分:1)
这是一种使用手动计算相交的方法。在这种情况下,它依赖于所计算的值之间存在精确的交集,但可以对其进行修改以找到最接近的匹配项。
intersects <- tbl %>%
spread(group, density) %>%
mutate(var = A - B) %>%
# group_by(Title) %>% # Alternative: find top 2 by Title
# top_n(2, -abs(var)) %>% # Alternative: find top 2 by Title
# # (Won't work in some edge cases...)
filter(var == 0) %>% # presumes exact intersection exists in rows
mutate(intersect = TRUE) %>%
select(x, type, Title, density = A, intersect)
tbl2 <- tbl %>%
left_join(intersects)
ggplot(tbl2, aes(x, density, colour = group)) +
geom_line() +
geom_point(data = tbl2 %>% filter(intersect)) +
transition_states(Title, transition_length = .5, state_length = 2, wrap = TRUE) +
labs(title = '{closest_state}') + ylab("f(x)")
答案 1 :(得分:0)
这里的想法是,您需要添加一列,该列在每个帧之间都具有交集(此处为Title
)。
library(tidyverse)
library(gganimate)
#data:
tbl <- tibble(x = seq(-8, 8, by = .01),
A_1 = 4*x, B_1 = x^2, A_2 = 3*x, B_2 = x^2, A_3 = 2*x, B_3 = x^2,
A_4 = x, B_4 = x^2, A_5 = 0*x, B_5 = x^2) %>%
gather(group, density, A_1:B_5) %>%
separate(group, c("group", "type"), sep = "_") %>%
mutate(type = as.numeric(type)) %>%
mutate(Title = case_when(
type == 1 ~ "A = 0, B = 4",
type == 2 ~ "A = 0, B = 3",
type == 3 ~ "A = 0, B = 2",
type == 4 ~ "A = 0, B = 1",
TRUE ~ "A = B = 0"))
#pseudo-intersection points for each frame:
intersection <- tbl %>%
distinct(Title) %>%
mutate(x1 = c(0,0,0,0,0),
y1 = c(0,0,0,0,0),
x2 = c(4,3,2,1,NA),
y2 = c(16,9,5,2,NA))
#plot:
tbl %>%
right_join(intersection, by="Title") %>%
ggplot(.) + geom_line(mapping = aes(x = x, y = density, colour = group)) +
geom_point(mapping = aes(x = x1, y = y1, colour = "green")) +
geom_point(mapping = aes(x = x2, y = y2, colour = "green")) +
transition_states(Title, transition_length = 0.5, state_length = 2, wrap = TRUE) +
labs(title = '{closest_state}') + ylab("f(x)")
由reprex package(v0.3.0)于2019-06-20创建