tsibble-tidyverse: Tidyverse methods for tsibble

In tsibble: Tidy Temporal Data Frames and Tools

Tidyverse methods for tsibble

Description

Current dplyr verbs that tsibble has support for:

• dplyr::filter(), dplyr::slice(), dplyr::arrange()

• dplyr::select(), dplyr::transmute(), dplyr::mutate(), dplyr::relocate(), dplyr::summarise(), dplyr::group_by()

• dplyr::left_join(), dplyr::right_join(), dplyr::full_join(), dplyr::inner_join(), dplyr::semi_join(), dplyr::anti_join(), dplyr::nest_join()

• dplyr::bind_rows(), dplyr::bind_cols()

Current tidyr verbs that tsibble has support for:

• tidyr::pivot_longer(), tidyr::pivot_wider(), tidyr::gather(), tidyr::spread()

• tidyr::nest(), tidyr::fill(), tidyr::drop_na()

Column-wise verbs

• The index variable cannot be dropped for a tsibble object.

• When any key variable is modified, a check on the validity of the resulting tsibble will be performed internally.

• Use as_tibble() to convert tsibble to a general data frame.

Row-wise verbs

A warning is likely to be issued, if observations are not arranged in past-to-future order.

Join verbs

Joining with other data sources triggers the check on the validity of the resulting tsibble.

Examples

library(dplyr, warn.conflicts = FALSE)
# `summarise()` a tsibble always aggregates over time
# Sum over sensors
pedestrian %>%
  index_by() %>%
  summarise(Total = sum(Count))
# shortcut
pedestrian %>%
  summarise(Total = sum(Count))
# Back to tibble
pedestrian %>%
  as_tibble() %>%
  summarise(Total = sum(Count))

library(tidyr)
stocks <- tsibble(
  time = as.Date("2009-01-01") + 0:9,
  X = rnorm(10, 0, 1),
  Y = rnorm(10, 0, 2),
  Z = rnorm(10, 0, 4)
)
(stocksm <- stocks %>%
  pivot_longer(-time, names_to = "stock", values_to = "price"))
stocksm %>%
  pivot_wider(names_from = stock, values_from = price)

tsibble documentation built on June 27, 2024, 5:06 p.m.