View source: R/metadata_series.R
get_metadata_series_filter | R Documentation |
Get all the series for a specific operation given a filter
get_metadata_series_filter(
operation = NULL,
filter = NULL,
periodicity = NULL,
det = 0,
tip = NULL,
lang = "ES",
page = 1,
validate = TRUE,
verbose = FALSE
)
operation |
(string): code of the operation. To obtain a list of
available operations see |
filter |
(list): list of variables and values. Filtering data from seriesWhen we request data from series there is the possibility of filtering data
on the fly using metadata information about the variables and their values
that define the series. To get variables for a given operation see
Filter formatThe format is
Using shortcutsAdditionally, shortcuts can be used to filter. They simplify the filtering
approach by using standardized names for variable IDs and therefore simplify
their use. The format is:
|
periodicity |
(int): id of the periodicity of the series. Common periodicities:
1 (monthly), 3 (quarterly), 6 (bi-annual), 12 (annual). To obtain a list
of periodicities see |
det |
(int): level of detail. Valid values: 0, 1 or 2. |
tip |
(string): set to 'A' for friendly output (e.g. readable dates), set to 'M' to include metadata or set to 'AM' for both. |
lang |
(string): language of the retrieved data. Set to 'ES' for Spanish or set to 'EN' for English. |
page |
(int): page number. The retrieved result of the query is paginated. Default value is set to 1. |
validate |
(logical): validate input parameters. A FALSE value means fewer API calls. Therefore, it is recommended to set it to FALSE when there is no doubt about the validity of the input parameters, including the filter. |
verbose |
(logical): print additional information, including the URL to call the API service. |
Data frame with information of the series according to the operation and filter specified in the function
# Get time series from "IPC" operation that include the filter variables
# and values
df <- get_metadata_series_filter(operation = "IPC", periodicity = 1,
filter = list("115"= "29", "3" = "84", "762" = ""), validate = FALSE)
head(df)
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