本文于2020-10-10更新。 如发现问题或者有建议,欢迎提交 Issue
1 求滚动\(\rho\)(Vaughan and Dancho 2018)
set.seed(123)
x <- rnorm(100)
set.seed(456)
y <- rnorm(100)
x %>% head()
y %>% head()
t <- 1:100
t %>% head()
test_roll_cor <-
data_frame(x = x, y = y, t = t)
rolling_cor <- rollify(.f = ~cor(.x,.y), window = 15)
test_roll_cor %>%
mutate(rolling_cor = rolling_cor(x,y))
2 as_tbl_time
weather_time <- nycflights13::weather %>%
select(origin, time_hour, temp, precip) %>%
as_tbl_time(index = time_hour)
这里使用nycflights13::weather
的数据,定义time index为time_hour
。
weather_time %>% head
3 collapse_by
weather_time %>%
group_by(origin) %>%
collapse_by(period = "monthly")
tibbletime collapse_by Evaluation error: invalid 'tz' value.
但是会出现这个bug,已经向作者报错了,
collapse_by error invalid timezone · Issue #51 · business-science/tibbletime
4 filter time(Wang 2018)
比原生的dplyr
方便。
这里已经指定了time_hour
为time index,因此直接给规则。
weather_time %>%
filter_time(~ "2013-01-02") %>%
arrange(desc(time_hour))
参考文献
Vaughan, Davis, and Matt Dancho. 2018. Tibbletime: Time Aware Tibbles. https://CRAN.R-project.org/package=tibbletime.
Wang, Earo. 2018. “Tsibble? Or Tibbletime?” 2018. https://blog.earo.me/2018/02/06/tsibble-or-tibbletime/.