View source: R/get_national_ces.R
| get_national_ces | R Documentation |
This function downloads and processes national Current Employment Statistics (CES) data from the Bureau of Labor Statistics (BLS). It retrieves multiple related datasets and joins them together to create a comprehensive employment statistics dataset with industry classifications, data types, and time period information.
get_national_ces(
dataset_filter = "all_data",
monthly_only = TRUE,
simplify_table = TRUE,
suppress_warnings = TRUE,
return_diagnostics = FALSE,
cache = check_bls_cache_env()
)
dataset_filter |
Character string specifying which dataset to download. Options include:
|
monthly_only |
Logical. If TRUE (default), excludes annual averages (period "M13") and returns only monthly data. If FALSE, includes all periods including annual averages. |
simplify_table |
Logical. If TRUE (default), removes several metadata columns (series_title, begin_year, begin_period, end_year, end_period, naics_code, publishing_status, display_level, selectable, sort_sequence) and adds a formatted date column. If FALSE, returns the full dataset with all available columns. |
suppress_warnings |
Logical. If TRUE (default), suppresses download warnings and diagnostics. If FALSE, displays warning output and diagnostic information. |
return_diagnostics |
Logical. If TRUE, returns a bls_data_collection object with full diagnostics. If FALSE (default), returns just the data table. |
cache |
Logical. Uses USE_BLS_CACHE environment variable, or defaults to FALSE. If TRUE, will download a cached file from BLS server and update cache if BLS server indicates an updated file. |
The function can download one of four specialized national CES datasets based on the dataset_filter parameter:
all_data: Complete dataset (ce.data.0.AllCESSeries) - contains entire history of all series currently published by the CES program
current_seasonally_adjusted: (ce.data.01a.CurrentSeasAE) - contains every seasonally adjusted all employee series and complete history
real_earnings_all_employees: (ce.data.02b.AllRealEarningsAE) - contains real earnings data (1982-84 dollars) for all employees
real_earnings_production: (ce.data.03c.AllRealEarningsPE) - contains real earnings data (1982-84 dollars) for production/nonsupervisory employees
Additional metadata files are always downloaded and joined:
ce.series - Series metadata
ce.industry - Industry classifications
ce.datatype - Data type definitions
ce.period - Time period definitions
ce.supersector - Supersector classifications
These datasets are joined together to provide context and labels for the employment statistics. The function uses the enhanced 'download_bls_files()' helper function for robust downloads with diagnostic reporting.
Performance Note: Using specialized datasets (other than "all_data") can significantly reduce download time and file size while still providing comprehensive employment statistics.
By default, returns a data.table with CES data. If return_diagnostics = TRUE, returns a bls_data_collection object containing data and comprehensive diagnostics.
This function requires the following packages: dplyr, data.table, httr, and lubridate (for date formatting when simplify_table=TRUE). The 'fread_bls()' and 'create_bls_object()' helper functions must be available in your environment.
Please visit the Bureau of Labor Statistics at https://www.bls.gov/ces/ for more information about CES data
## Not run:
# Get complete monthly CES data with simplified table structure (default)
ces_monthly <- get_national_ces()
# Get only seasonally adjusted data (faster download)
ces_seasonal <- get_national_ces(dataset_filter = "current_seasonally_adjusted")
# Get real earnings data for all employees
ces_real_earnings <- get_national_ces(dataset_filter = "real_earnings_all_employees")
# Get all data including annual averages with full metadata
ces_full <- get_national_ces(dataset_filter = "all_data",
monthly_only = FALSE, simplify_table = FALSE)
# Get data with warnings and diagnostic information displayed
ces_with_warnings <- get_national_ces(suppress_warnings = FALSE)
# Get full diagnostic object if needed
data_with_diagnostics <- get_national_ces(return_diagnostics = TRUE)
print_bls_warnings(data_with_diagnostics)
## End(Not run)
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