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r - gganimate:处理缺失值

转载 作者:行者123 更新时间:2023-12-02 01:51:30 27 4
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我第一次尝试 gganimate 包,但在处理缺失值 (NA) 时遇到了问题。如果我的问题很微不足道,但我找不到任何解决方案,我深表歉意。

这是我正在尝试做的事情的可重现示例:

# Load libraries:
library(ggplot2)
library(gganimate)
library(dplyr)
library(tidyr)

# Create some data
## Monthly sales are in 100:1000
## Expected sales are 400/month, increasing by 5% every year
set.seed(123)
df <- data_frame(Year = rep(2015:2018, each=12),
Month = rep(1:12, 4),
Sales = unlist(lapply(1:4,
function(x){cumsum(sample(100:1000, 12))})),
Expected = unlist(lapply(1:4,
function(x){cumsum(rep(400*1.05^(x-1),12))})))

# gganimate works fine here:
df %>%
tidyr::gather("Type", "value", Sales:Expected) %>%
ggplot(aes(Month, value, col=Type)) +
geom_point() +
geom_line() +
gganimate::transition_time(Year)

# Now data for the end of Year 2018 are missing:
df[df$Year==2018 & df$Month %in% 9:12,"Sales"] = NA

# Plotting with ggplot2 works (and gives a warning about missing values):
df %>%
tidyr::gather("Type", "value", Sales:Expected) %>%
dplyr::filter(Year == "2018") %>%
ggplot(aes(Month, value, col=Type)) +
geom_point() +
geom_line()

# But gganimate fails
df %>%
tidyr::gather("Type", "value", Sales:Expected) %>%
ggplot(aes(Month, value, col=Type)) +
geom_point() +
geom_line() +
gganimate::transition_time(Year)

# I get the following error:
## Error in rep(seq_len(nrow(polygon)), splits + 1) : incorrect 'times' argument

我尝试使用 gganimateenter_()/exit_() 函数,但没有成功。
感谢您的帮助。

编辑:(使用 MattL 的建议)
这有效:

df %>% 
# filter(!is.na(Sales)) %>% ##Proposed by Matt L but removes Expected values too
gather("Type", "value",Sales:Expected) %>%
filter(!is.na(value)) %>% ## Remove NA values
ggplot(aes(Month, value, col=Type)) +
geom_point() +
geom_line() +
labs(title = "Year: {frame_time}") + ## Add title
gganimate::transition_time(Year) +
gganimate::exit_disappear(early=TRUE) ## Removes 2017 points appearing in Year 2018

我仍然感觉 gganimate 应该能够像 ggplot 那样处理这些 NA 值。谢谢!

最佳答案

在“管道”到 ggplot 函数之前过滤掉缺失值:

df %>% 
filter(!is.na(Sales)) %>%
tidyr::gather("Type", "value", Sales:Expected) %>%
ggplot(aes(Month, value, col=Type)) +
geom_point() +
geom_line() +
gganimate::transition_time(Year)

关于r - gganimate:处理缺失值,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/51908650/

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