Get subsets of indicator data — get

This retrieves data from a purse. It functions in a similar way to get_data.coin() but has the additional Time argument to allow selection based on the point(s) in time.

Usage

# S3 method for class 'purse'
get_data(
  x,
  dset,
  iCodes = NULL,
  Level = NULL,
  uCodes = NULL,
  use_group = NULL,
  Time = NULL,
  also_get = NULL,
  ...
)

Arguments

x: A purse class object
dset: The name of the data set to apply the function to, which should be accessible in .$Data.
iCodes: Optional indicator codes to retrieve. If NULL (default), returns all iCodes found in the selected data set. Can also refer to indicator groups. See details.
Level: Optionally, the level in the hierarchy to extract data from. See details.
uCodes: Optional unit codes to filter rows of the resulting data set. Can also be used in conjunction with groups. See details.
use_group: Optional group to filter rows of the data set. Specified as list(Group_Var = Group), where Group_Var is a Group_ column that must be present in the selected data set, and Group is a specified group inside that grouping variable. This filters the selected data to only include rows from the specified group. Can also be used in conjunction with uCodes – see details.
Time: Optional time index to extract from a subset of the coins present in the purse. Should be a vector containing one or more entries in x$Time or NULL to return all (default).
also_get: A character vector specifying any columns to attach to the data set that are not indicators or aggregates. These will be e.g. uName, groups, denominators or columns labelled as "Other" in iMeta. These columns are stored in .$Meta$Unit to avoid repetition. Set also_get = "all" to attach all columns, or set also_get = "none" to return only numeric columns, i.e. no uCode column.
...: arguments passed to or from other methods.

Value

A data frame of indicator data indexed by a "Time" column.

Details

Note that

Examples

# build full example purse
purse <- build_example_purse(up_to = "new_coin", quietly = TRUE)

# get specified indicators for specific years, for specified units
get_data(purse, dset = "Raw",
         iCodes = c("Lang", "Forest"),
         uCodes = c("AUT", "CHN", "DNK"),
         Time = c(2019, 2020))
#>     Time uCode       Lang   Forest
#> 52  2019   AUT 14.9590871 4.510501
#> 86  2019   CHN  0.9909247 4.007399
#> 58  2019   DNK 19.5377677 6.626489
#> 103 2020   AUT 16.2053167 5.150510
#> 137 2020   CHN  1.2525769 4.322223
#> 109 2020   DNK 19.3664297 5.323871