Value of an ABS Time Series indicator for a specific year and month.
value_at.RdValue of an ABS Time Series indicator for a specific year and month.
Arguments
- data
a dataframe of ABS time series data.
- filter_with
a named list of at least an indicator to filter the dataframe on.
- at_year
a year (numeric). Defaults to the most recent year if NULL (the default) and at_month = NULL. If only at_year is specified, the value is averaged over the year (Not yet implemented)
- at_month
a month (name). Defaults to the most recent month if NULL (the default)
Examples
library(reportabs)
labour_force_briefing <- read_absdata("labour_force_briefing")
#> Reading labour_force_briefing file found in /tmp/RtmpU4AVXm
value_at(labour_force_briefing , filter_with = list(indicator = "Employed total"))
#> → No year or month specified. Returning data for 2025 August
#> # A tibble: 27 × 7
#> date sex state series_type unit indicator value
#> <date> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 2025-08-01 Persons Australia Seasonally Adjus… 000 Employed… 14627.
#> 2 2025-08-01 Persons New South Wales Seasonally Adjus… 000 Employed… 4463.
#> 3 2025-08-01 Persons Victoria Seasonally Adjus… 000 Employed… 3818.
#> 4 2025-08-01 Persons Queensland Seasonally Adjus… 000 Employed… 2994.
#> 5 2025-08-01 Persons South Australia Seasonally Adjus… 000 Employed… 981.
#> 6 2025-08-01 Persons Western Australia Seasonally Adjus… 000 Employed… 1640.
#> 7 2025-08-01 Persons Tasmania Seasonally Adjus… 000 Employed… 287.
#> 8 2025-08-01 Males Australia Seasonally Adjus… 000 Employed… 7587.
#> 9 2025-08-01 Males New South Wales Seasonally Adjus… 000 Employed… 2316.
#> 10 2025-08-01 Males Victoria Seasonally Adjus… 000 Employed… 1976.
#> # ℹ 17 more rows