如何制作堆积条形图的动画？

我正在尝试在四个堆叠条形图之间进行转换。输出并不完全符合我的预期，我无法确定这是否是我的代码中的错误，或者是否是我的代码中的错误gganimateR 包。

这是我使用的数据框：

df <- structure(list(name = c("variable", "variable", "variable", "variable",    
    "variable", "variable", "variable", "variable", "variable", "variable", 
    "variable", "variable", "variable"), groups = structure(c(3L, 
    3L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 4L, 4L, 4L), .Label = c("group 1", 
    "group 2", "group 3", "group 4"), class = "factor"), score = structure(c(4L, 
    3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L), .Label = c("4", 
    "3", "2", "1"), class = c("ordered", "factor")), percentage = c(8, 
    38, 38, 16, 17.1428571428571, 40, 42.8571428571429, 40, 20, 40, 
    5, 65, 30), percentage2 = c("8%", "38%", "38%", "16%", "17.1%", 
    "40%", "42.9%", "40%", "20%", "40%", "5%", "65%", "30%"), label = c(0.04, 
    0.27, 0.65, 0.92, 0.0857142857142857, 0.371428571428571, 0.785714285714286, 
    0.2, 0.5, 0.8, 0.025, 0.375, 0.85)), row.names = c(NA, -13L), class = "data.frame")

当我制作仅包含一个阶段的组变量的堆积条形图时，我得到例如这：

library(ggplot2)
library(dplyr)

ggplot(filter(df, groups == "group 3"),
       aes(x = name, y = percentage, fill = score)) +
    geom_bar(stat = "identity", position = "fill", width = 0.8) +
    geom_text(aes(y = label, label = percentage2), color = "grey25") +
    coord_flip() +
    scale_fill_manual(values=c("darkgreen", "lightgreen", "yellow", "red"), 
                      guide = guide_legend(reverse = TRUE), drop=FALSE) 

但是当我尝试添加gganimate四个不同小组阶段的动画我得到的是：

library(gganimate)

ggplot(df, aes(x = name, y = percentage, fill = score)) +
    geom_bar(stat = "identity", position = "fill", width = 0.8) + 
    geom_text(aes(y = label, label = percentage2), color = "grey25") +
    coord_flip() +
    scale_fill_manual(values = c("darkgreen", "lightgreen", "yellow", "red"), 
                      guide= guide_legend(reverse = TRUE), drop = FALSE) + 
    transition_states(groups, transition_length = 2, state_length =  1)

它似乎同时将所有组的所有百分比（条长度）添加到动画中。我想要四个不同组的堆叠条形图之间没有间隙的过渡。我怎样才能让这个动画在条形之间进行无间隙的过渡？

绝对有可能，但在当前版本中gganimate您需要编辑数据框。

Code

g <- ggplot(df, aes(x = name, y = c, fill = score, group = score)) +
    geom_col(position = "identity", width = 0.8) +
    coord_flip() +
    labs(title = "{closest_state}") +
    geom_label(aes(y = c, label = percentage2)) +
    scale_fill_manual(values = c("darkgreen", "lightgreen", "yellow", "red"), 
                      guide= guide_legend(reverse = TRUE), drop = FALSE) +
    transition_states(groups, transition_length = 2, state_length = 1)
animate(g, nframes = 100)

Data

df$c <- ave(df$percentage, df$group, FUN=cumsum)
df <- df[order(df$groups, df$score, df$c), ]

df
       name  groups score percentage percentage2      label         c
10 variable group 1     4   40.00000         40% 0.80000000 100.00000
9  variable group 1     3   20.00000         20% 0.50000000  60.00000
8  variable group 1     2   40.00000         40% 0.20000000  40.00000
7  variable group 2     4   42.85714       42.9% 0.78571429 100.00000
6  variable group 2     3   40.00000         40% 0.37142857  57.14286
5  variable group 2     2   17.14286       17.1% 0.08571429  17.14286
4  variable group 3     4   16.00000         16% 0.92000000 100.00000
3  variable group 3     3   38.00000         38% 0.65000000  84.00000
2  variable group 3     2   38.00000         38% 0.27000000  46.00000
1  variable group 3     1    8.00000          8% 0.04000000   8.00000
13 variable group 4     4   30.00000         30% 0.85000000 100.00000
12 variable group 4     3   65.00000         65% 0.37500000  70.00000
11 variable group 4     2    5.00000          5% 0.02500000   5.00000

=======================

解释

Why? In gganimate版本"0.9.9.9999"动画情节将无法正确分组和堆叠（正如您正确指出的那样，这是一个错误）。这就是为什么你需要

1. 对条形的位置进行特征设计（变量c)
2. 按尺寸降序排列条形c（这样较大的就不会与较小的重叠）

真正有用的是：将代码分解为最基本的内容，只保留重要的内容：

g <- ggplot(df, aes(x = "", y = c, fill = score, group = score)) +
    geom_col(position = "identity") +
    labs(title = "{closest_state}") +
    transition_states(groups, transition_length = 2, state_length = 1)
    animate(g, nframes = 10)

这比原始代码更容易使用。很明显，问题出在相互作用的某个地方。y =（例如，c、百分比）、group =（例如，分数、组），以及position =（例如，堆叠、闪避、闪避2、同一性、填充）。

如果您有任何疑问，请随时给我留言。