R语言-动画

1 if(!require(devtools)) install.packages("devtools")
2 devtools::install_github("dgrtwo/gganimate")
3 #需要注意的是这个包依赖于ImageMagick来产生动画，所以还需要安装ImageMagick
4 install.packages("installr")
5 installr::install.ImageMagick("http://www.imagemagick.org/script/download.php")
6 #在安装该软件的过程中,有一个页面全部打钩,否则动画无法找到可执行文件

 1 library(readr)
 2 library(dplyr)
 3 library(DT)
 4 library(maps)
 5 library(ggplot2)
 6 library(ggthemes)
 7 library(tibble)
 8 library(lubridate)
 9 library(tidyr)
10 library(gganimate)

1 url_csv <- ‘https://raw.githubusercontent.com/d4tagirl/R-Ladies-growth-maps/master/rladies.csv‘
2 rladies <- read_csv(url(url_csv))%>%
3   select(-1)
4 datatable(rladies, rownames = FALSE,
5           options = list(pageLength = 5))

 1 # 加载世界地图
 2 world <- ggplot() +
 3   borders(‘world‘,color=‘gray85‘,fill=‘gray80‘)+
 4   theme_map()
 5 
 6 # 将每个社区作为点加载到地图上
 7 map <- world + 
 8   geom_point(aes(x=lon,y=lat,size=followers),data=rladies,colour=‘purple‘,alpha=.5)+
 9   scale_size_continuous(range=c(1,8),breaks=c(250,500,750,1000))+
10   labs(size=‘Followers‘)

#使用tibble创建开始日期和起始点的数据,tribble是data.frame的替代
ghost_points_ini <- tibble(
  created_at = as.Date(‘2011-09-11‘),
  followers=0,lon=0,lat=0
)

# 使用tibble创建结束日期和终止点的数据
ghost_points_fin <- tibble(
  created_at=seq(as.Date(‘2017-05-16‘),
                 as.Date(‘2017-05-30‘),
                 by=‘days‘),
  followers=0,lon=0,lat=0
)
# gganimate 需要指定frame作为参数,
# cumulative 为T表示
map <- world + 
  geom_point(aes(x=lon,y=lat,size=followers,
                 frame=created_at,cumulative=T),
             data=rladies,color=‘purple‘,alpha=.5)+
  geom_point(aes(x=lon,y=lat,size=followers,
                 frame=created_at,cumulative=T),
             data=ghost_points_ini,color=‘purple‘,alpha=0)+
  geom_point(aes(x=lon,y=lat,size=followers,
                 frame=created_at,cumulativte=T),
             data=ghost_points_fin,color=‘purple‘,alpha=0)+
  scale_size_continuous(range=c(1,8),breaks=c(250,500,750,1000))+
  labs(size=‘Followers‘)
#开启动画
gganimate(map)

 1 # 选择月份中展示的日期展示(1,10,20)
 2 dates <- as_tibble(seq(floor_date(as.Date(min(rladies$created_at)),
 3                                   unit = ‘month‘),
 4                        as.Date(‘2017-05-15‘),
 5                        by=‘days‘)) %>%
 6   filter(day(value) %in% c(1,10,20))
 7 
 8 # 创建新的数据集,只选择screen_name和date,同时根据时间计算用户的比例
 9 rladies_frames <- rladies %>%
10   select(screen_name) %>%
11   expand(screen_name,date=dates$value) %>%
12   right_join(rladies,by=‘screen_name‘) %>%
13   filter(date > created_at) %>%
14   mutate(age_total=as.numeric(age_days,units=‘days‘),
15          age_at_date= as.numeric(difftime(date,created_at,units = ‘days‘),
16                                  units = ‘days‘),
17          est_followers=((followers-1)/age_total)*age_at_date)
18 
19 ghost_points_ini2 <- ghost_points_ini %>%
20   mutate(date=created_at,est_followers = 0)
21 
22 ghost_points_fin2 <- ghost_points_fin %>%
23   expand(date=created_at,rladies) %>%
24   select(date,est_followers=followers,lon,lat)
25 
26 map_frames <- world +
27   geom_point(aes(x=lon,y=lat,size=est_followers,frame=date),
28          data=rladies_frames,colour=‘purple‘,alpha=.5)+
29   geom_point(aes(x=lon,y=lat,size=est_followers,frame=date),
30              data = ghost_points_ini2,alpha=0)+
31   geom_point(aes(x=lon,y=lat,size=est_followers,frame=date),
32              data = ghost_points_fin2,colour=‘purple‘,alpha=.5)+
33   scale_size_continuous(range=c(1,8),breaks=c(250,500,750,1000))+
34   labs(size=‘Followers‘)
35 
36 gganimate(map_frames)