import: Import 'EViews' series objects as dataframe

In sagirumati/EviewsR: A Seamless Integration of 'EViews' and R

Import EViews series objects as dataframe

Description

Use this function to import EViews series objects to R, R Markdown and Quarto as dataframe

Usage

import(
  object_name = "",
  wf = "",
  page = "",
  options = "",
  source_description = "",
  table_description = "",
  keep_list = "",
  drop_list = "",
  keepmap_list = "",
  dropmap_list = "",
  smpl_spec = ""
)

Arguments

object_name	Object name to be to store the imported EViews series.
wf	Object or a character string representing the name of an EViews workfile.
page	Object or a character string representing the name of an EViews workfile page.
options	Object or a character string of any of the acceptable EViews pagesave options, such as noid, nomapval, nonames.
source_description	The path and name of the file to be saved.
table_description	Further description of the source_description such as specifying the range=arg, byrow.
keep_list	Optional. Specify the list of EViews object to be saved.
drop_list	Optional. Specify the list of EViews object to be dropped.
keepmap_list	Optional. Specify the list of patterns of EViews object to be saved.
dropmap_list	Optional. Specify the list of patterns of EViews object to be dropped.
smpl_spec	Optional. Specify the EViews sample string

Value

An EViews workfile

See Also

Other important functions: EviewsR-package, create_object(), eng_eviews(), eviews_graph(), eviews_import(), eviews_pagesave(), eviews_wfcreate(), eviews_wfsave(), exec_commands(), export(), export_dataframe(), import_equation(), import_graph(), import_kable(), import_series(), import_table(), import_workfile(), rwalk(), set_eviews_path()

Examples

library(EviewsR)
## Not run: 
demo(exec_commands)

import(object_name="importedDataFrame",wf="EviewsR_exec_commands",drop_list = "y")

eviews$importedDataFrame

knitr::kable(head(eviews$importedDataFrame),format="pandoc",caption="Table from EviewsR")

## End(Not run)

sagirumati/EviewsR documentation built on April 27, 2024, 7:06 a.m.