Update key and index for a tsibble

update_tsibble(
  x,
  key,
  index,
  regular = is_regular(x),
  validate = TRUE,
  .drop = key_drop_default(x)
)

Arguments

x: A tsibble.
key: Variable(s) that uniquely determine time indices. NULL for empty key, and c() for multiple variables. It works with tidy selector (e.g. dplyr::starts_with()).
index: A variable to specify the time index variable.
regular: Regular time interval (TRUE) or irregular (FALSE). The interval is determined by the greatest common divisor of index column, if TRUE.
validate: TRUE suggests to verify that each key or each combination of key variables leads to unique time indices (i.e. a valid tsibble). If you are sure that it's a valid input, specify FALSE to skip the checks.
.drop: If TRUE, empty key groups are dropped.

Details

Unspecified arguments will inherit the attributes from x.

Examples

# update index
library(dplyr)
pedestrian %>%
  group_by_key() %>%
  mutate(Hour_Since = Date_Time - min(Date_Time)) %>%
  update_tsibble(index = Hour_Since)
#> # A tsibble: 66,037 x 6 [1h]
#> # Key:       Sensor [4]
#> # Groups:    Sensor [4]
#>    Sensor         Date_Time           Date        Time Count Hour_Since
#>    <chr>          <dttm>              <date>     <int> <int> <drtn>    
#>  1 Birrarung Marr 2015-01-01 00:00:00 2015-01-01     0  1630     0 secs
#>  2 Birrarung Marr 2015-01-01 01:00:00 2015-01-01     1   826  3600 secs
#>  3 Birrarung Marr 2015-01-01 02:00:00 2015-01-01     2   567  7200 secs
#>  4 Birrarung Marr 2015-01-01 03:00:00 2015-01-01     3   264 10800 secs
#>  5 Birrarung Marr 2015-01-01 04:00:00 2015-01-01     4   139 14400 secs
#>  6 Birrarung Marr 2015-01-01 05:00:00 2015-01-01     5    77 18000 secs
#>  7 Birrarung Marr 2015-01-01 06:00:00 2015-01-01     6    44 21600 secs
#>  8 Birrarung Marr 2015-01-01 07:00:00 2015-01-01     7    56 25200 secs
#>  9 Birrarung Marr 2015-01-01 08:00:00 2015-01-01     8   113 28800 secs
#> 10 Birrarung Marr 2015-01-01 09:00:00 2015-01-01     9   166 32400 secs
#> # … with 66,027 more rows

# update key: drop the variable "State" from the key
tourism %>%
  update_tsibble(key = c(Purpose, Region))
#> # A tsibble: 24,320 x 5 [1Q]
#> # Key:       Purpose, Region [304]
#>    Quarter Region   State           Purpose  Trips
#>      <qtr> <chr>    <chr>           <chr>    <dbl>
#>  1 1998 Q1 Adelaide South Australia Business  135.
#>  2 1998 Q2 Adelaide South Australia Business  110.
#>  3 1998 Q3 Adelaide South Australia Business  166.
#>  4 1998 Q4 Adelaide South Australia Business  127.
#>  5 1999 Q1 Adelaide South Australia Business  137.
#>  6 1999 Q2 Adelaide South Australia Business  200.
#>  7 1999 Q3 Adelaide South Australia Business  169.
#>  8 1999 Q4 Adelaide South Australia Business  134.
#>  9 2000 Q1 Adelaide South Australia Business  154.
#> 10 2000 Q2 Adelaide South Australia Business  169.
#> # … with 24,310 more rows