HARplus (version 1.0.1)

export_data: Export Data to Various Formats (CSV/STATA/TEXT/RDS/XLSX)

Description

Exports structured SL4 or HAR data to multiple file formats, including CSV, Stata, TXT, RDS, and XLSX. Supports nested lists, automatic subfolder creation, and multi-sheet Excel exports.

Usage

export_data(
  data,
  output_path,
  format = "csv",
  prefix = "",
  create_subfolder = FALSE,
  multi_sheet_xlsx = FALSE,
  xlsx_filename = NULL,
  report_output = FALSE
)

Value

A list containing the file paths of the exported data.

Arguments

data

A list or data frame. The SL4 or HAR data to export.

output_path

Character. The base output directory or file path.

format

Character. The export format ("csv", "stata", "txt", "rds", "xlsx"). Default is "csv".

prefix

Character. An optional prefix added to exported file names. Default is "" (empty).

create_subfolder

Logical. If TRUE, creates a subfolder for each format. Default is FALSE.

multi_sheet_xlsx

Logical. If TRUE, exports lists as multi-sheet XLSX files.

xlsx_filename

An optional filename for the XLSX file (used when multi_sheet_xlsx = TRUE).

report_output

Logical. If TRUE, generates an export report.

Author

Pattawee Puangchit

Details

• Supports exporting data in "csv", "stata", "txt", "rds", and "xlsx" formats.

• Handles nested lists and exports each data frame individually.

• Optionally creates subfolders for each format (create_subfolder = TRUE).

• Customizes file names using prefix.

• When multi_sheet_xlsx = TRUE, all exported data is stored in a single Excel workbook, with each dataset as a separate sheet.

• If exporting to Stata ("stata" format), column names containing . will be replaced with _ to ensure compatibility.

• If multi_sheet_xlsx = TRUE, list elements are exported as separate sheets in a single XLSX file.

• The function creates necessary directories if they do not exist.

See Also

pivot_data, get_data_by_var, get_data_by_dims

Examples

# \donttest{
# Import sample data:
sl4_data <- load_sl4x(system.file("extdata", "TAR10.sl4", package = "HARplus"))

# Extract data
data_multiple <- get_data_by_var(c("qo", "pca"), sl4_data)

# Export
export_data(data_multiple, file.path(tempdir(), "output_directory"), 
           format = c("csv", "xlsx", "stata", "txt", "rds"),
           create_subfolder = TRUE,
           multi_sheet_xlsx = TRUE)
# }