[英]how to plot lines matching data using ggplot2
plot increase_rate contains abs(increase_rate) > 0.05
. 情节增加率包含abs(increase_rate) > 0.05
。
but under the code, discard the data between -0.05 to 0.05. 但根据该代码,请丢弃-0.05至0.05之间的数据。
I also plot data including from -0.05 to 0.05 range. 我还绘制了从-0.05到0.05范围的数据。
library(tidyverse)
data(population, package="tidyr")
population %>%
arrange(country, year) %>%
group_by(country) %>%
mutate(population_nextY = lead(population)) %>%
mutate(increase_rate = (population_nextY - population)/population_nextY) %>%
filter(abs(increase_rate) > 0.05) %>%
ungroup %>%
ggplot()+
geom_line(aes(x = year, y = increase_rate, color = country))
I want to get final plot like this. 我想要这样的最终情节。
d <-
population %>%
arrange(country, year) %>%
group_by(country) %>%
mutate(population_nextY = lead(population)) %>%
mutate(increase_rate = (population_nextY - population)/population_nextY) %>%
ungroup
select_country <-
d %>% filter(!between(increase_rate, -0.05, 0.05)) %>%
select(country) %>% distinct %>% unlist
d %>%
filter(country %in% select_country) %>%
ggplot()+
geom_line(aes(x = year, y = increase_rate, color = country))
使用between
:
filter(!between(increase_rate, -0.05, 0.05))
add column using mutate() function 使用mutate()函数添加列
population %>%
arrange(country, year) %>%
group_by(country) %>%
mutate(population_nextY = lead(population)) %>%
mutate(increase_rate = (population_nextY - population)/population_nextY) %>%
mutate(judge = max(abs(increase_rate), na.rm=T)) %>%
filter(judge > 0.05) %>%
ungroup %>%
ggplot() +
geom_line(aes(x = year, y = increase_rate, color = country))
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