r - 如何在R中使用高位图表创建运动折线图

我正在尝试创建运动折线图。该功能如下所示

library(highcharter)
library(magrittr)

highchart() %>%
  hc_chart(type = "line") %>%
  hc_yAxis(max = 12, min = 0) %>%
  hc_xAxis(categories = c(1, 1.7, 1, 0)) %>%
  hc_add_series(data = list(
              list(sequence = c(1,1,1,1)),
              list(sequence = c(NA,2,2,2)),
              list(sequence = c(NA,NA,5,5)),
              list(sequence = c(NA,NA,NA,10))
            )) %>%
  hc_motion(enabled = TRUE, labels = 1:4, series = 0)

但是我希望使用hc_motion选项使最终结果如下所示

hchart(data.frame(xx=c(1, 1.7, 1, 0), yy=c(1, 2, 5, 10)),
       type = "line", hcaes(x = xx, y = yy))

即问题是在第一种情况下，运动图将xAxis视为类别，而我希望它像是具有直线的散点图。

最佳答案

经过一番搜索，我得到了答案

library(highcharter)
library(magrittr)

建立资料

df <- data.frame(xx=c(1, 1.7, 1, 0), yy=c(1, 2, 5, 10))
df$key <- 0
df <- lapply(1:dim(df)[1], function(x){ df$key <- df$key+x; df}) %>%
do.call(rbind, .)
df %<>% group_by(key) %>% mutate(key2=1, key2=cumsum(key2)) %>% ungroup %>%
  mutate(yy=ifelse(key<key2, NA, yy))

一些操纵

用highcharter生成hc_motion的表单

df1 <- df %>% filter(key==1) %>% select(-key)
df2 <- df %>% group_by(key2) %>% do(sequence = list_parse(select(., y = yy))) %>% ungroup
df <- left_join(df1, df2, by="key2")
df %<>% select(xx, yy, sequence)

图形

highchart() %>% hc_yAxis(min = 0, max = 10) %>%
  hc_add_series(data = df, type = "line", hcaes(x = xx, y = yy)) %>%
  hc_motion(enabled = TRUE, series = 0, startIndex = 0, labels = 1:4)

关于r - 如何在R中使用高位图表创建运动折线图，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/43209096/