Package GetITRData. October 22, 2017
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1 Package GetITRData October 22, 2017 Title Reading Financial Reports from Bovespa's ITR System Version 0.6 Date Reads quarterly and annual financial reports including assets, liabilities, income and cash flow statements from Bovespa's ITR (informacoes trimestrais) system < The ITR/DFP system is a web based interface for all financial reports of companies traded at Bovespa. The package is especially designed for large scale data importation, keeping a tabular (long) structure for easier processing. Depends R (>= 3.3.0) Imports stringr,xml,dplyr, readr, reshape2, tibble, xlsx, stats, curl, BETS License GPL-2 BugReports URL LazyData true RoxygenNote Suggests knitr, rmarkdown, testthat, ggplot2 VignetteBuilder knitr NeedsCompilation no Author Marcelo Perlin [aut, cre] Maintainer Marcelo Perlin <marceloperlin@gmail.com> Repository CRAN Date/Publication :15:28 UTC 1
2 2 gitrd.convert.to.wide R topics documented: gitrd.convert.to.wide gitrd.export.itr.data gitrd.fix.dataframes gitrd.get.bovespa.data gitrd.get.info.companies gitrd.getitrdata gitrd.read.fwf.file gitrd.read.zip.file gitrd.read.zip.file.type gitrd.read.zip.file.type gitrd.search.company Index 11 gitrd.convert.to.wide Converts a dataframe from gitr_getitrdata to the wide format Converts a dataframe from gitr_getitrdata to the wide format gitrd.convert.to.wide(data.in, data.in.cols = "original") data.in data.in.cols Data frame with financial information Which data to go in rows values ( original or inflation adjusted ) A dataframe in the wide format # get example data from RData file my.f <- system.file('extdata/examplereport_petrobras.rdata', package = 'GetITRData') load(my.f) df.assets <- df.reports$fr.assets[[1]] df.assets.wide <- gitrd.convert.to.wide(df.assets)
3 gitrd.export.itr.data 3 gitrd.export.itr.data Export tibble to an excel file Export tibble to an excel file gitrd.export.itr.data(data.in, base.file.name = paste0("getitrdata_export_", Sys.Date()), type.export = "xlsx", format.data = "wide") data.in Tibble with financial information (output of gitrd.getitrdata) base.file.name The basename of excel file (don t include extension) type.export format.data nothing The extension of the desired format (only xlsx implemented so far) The format of output. wide (default) for a wide table and long for a long table # get example data from RData file my.f <- system.file('extdata/examplereport_petrobras.rdata', package = 'GetITRData') load(my.f) ## Not run: # dontrun: keep cran check time short gitrd.export.itr.data(df.reports, base.file.name = 'MyExcelFile', format.data = 'wide') ## End(Not run) gitrd.fix.dataframes Fix dataframe for version issues and inflation measures (internal) Fix dataframe for version issues and inflation measures (internal) gitrd.fix.dataframes(df.in, inflation.index, df.inflation, max.levels = 3)
4 4 gitrd.get.bovespa.data df.in A dataframe with financial statements inflation.index Sets the inflation index to use for finding inflation adjusted values of all reports. Possible values: dollar (default) or IPCA, the brazilian main inflation index. When using IPCA, the base date is set as the last date found in the inflation dataset. df.inflation max.levels The fixed data.frame Dataframe with inflation data Sets the maximum number of levels of accounting items in financial reports #' # get example data from RData file my.f <- system.file('extdata/examplereport_petrobras.rdata', package = 'GetITRData') load(my.f) df.assets <- df.reports$fr.assets[[1]] df.assets.fixed <- gitrd.fix.dataframes(df.assets, inflation.index = 'none', df.inflation = data.frame()) gitrd.get.bovespa.data Reads information for a company from B3 site Given a CVM code, this function scrapes information from the company page. gitrd.get.bovespa.data(my.id) my.id A CVM id A list with several dataframes
5 gitrd.get.info.companies 5 ## Not run: # keep cran check fast l.info.petr <- gitrd.get.dovespa.data(my.id = 9512) str(l.info.petr) ## End(Not run) gitrd.get.info.companies Reads up to date information about Bovespa companies from a github file A csv file with information about available companies and time periods is downloaded from github and read. This file is updated periodically and manually by the author. When run for the first time in a R session, a.rdata file containing the output of the function is saved in tempdir() for caching. gitrd.get.info.companies(type.data = "companies_files") type.data A string that sets the type of information to be returned ( companies or companies_files ). If companies, it will return a dataframe with several information about companies, but without download links. A dataframe with several information about Bovespa companies ## Not run: # keep cran check fast df.info <- gitrd.get.info.companies() str(df.info) ## End(Not run)
6 6 gitrd.getitrdata gitrd.getitrdata Downloads and reads financial reports from Bovespa Quarterly and annual financial reports are downloaded from B3 for a combination of companies and time period. The easist way to get started with gitrd.getitrdata is looking for the official name of traded companies using function gitrd.search.company( nametolookfor ). Alternatively, you can use function gitrd.get.info.companies( companies ) to import a dataframe with information for all available companies and time periods. gitrd.getitrdata(name.companies, first.date = Sys.Date() - 12 * 30, last.date = Sys.Date(), type.info = "individual", periodicy.fin.report = "annual", inflation.index = "dollar", max.levels = 3, folder.out = tempdir(), be.quiet = FALSE) name.companies Official names of companies to get financial reports (e.g. ELETROPAULO METROPOLITANA EL.S.PAULO S.A ). Names of companies can be found using function gitrd.search.company( nametolookfor ) or gitrd.get.info.companies( companies ) first.date First date (YYYY-MM-DD) to get data. Character or Date. E.g. first.date = last.date Last date (YYYY-MM-DD) to get data. Character or Date. E.g. last.date = type.info Type of financial statements, individual (default) or consolidated. Argument can be a single value or a vector with the same length as name.companies. The individual type only includes financial statements from the company itself, while consolidated statements adds information about controlled companies periodicy.fin.report The frequency of financial reports: annual (default) or quarterly inflation.index Sets the inflation index to use for finding inflation adjusted values of all reports. Possible values: dollar (default) or IPCA, the brazilian main inflation index. When using IPCA, the base date is set as the last date found in the inflation dataset. max.levels folder.out Sets the maximum number of levels of accounting items in financial reports Folder where to download and manipulate the zip files. Default = tempdir() be.quiet Should the function output information about progress? TRUE (default) or FALSE
7 gitrd.read.fwf.file 7 A tibble (dataframe with lists) object with all gathered financial statements, with each company as a row in the tibble. ## Not run: #dontrun: keep cran check time short name.companies <- 'ELETROPAULO METROPOLITANA EL.S.PAULO S.A' first.date <- ' ' last.date <- ' ' df.statements <- gitrd.getitrdata(name.companies = name.companies, first.date = first.date, last.date = last.date) ## End(Not run) gitrd.read.fwf.file Reads FWF file from bovespa (internal) Reads FWF file from bovespa (internal) gitrd.read.fwf.file(my.f, type.fin.report) my.f File to be read type.fin.report Peridodicy of fin data ( itr - quarterly or dfp - annual) A dataframe with data my.f <- system.file('extdata/itrbpae.001', package = 'GetITRData') df.assets <- gitrd.read.fwf.file(my.f, type.fin.report = 'itr')
8 8 gitrd.read.zip.file.type.1 gitrd.read.zip.file Reads a single zip file downloaded from Bovespa Reads a single zip file downloaded from Bovespa gitrd.read.zip.file(my.zip.file, folder.to.unzip = tempdir(), id.type, type.fin.report) my.zip.file Full path to zip file folder.to.unzip Folder to unzip files (default = tempdir()) id.type The type of file structure ( after 2011 or before 2011 ) type.fin.report Peridodicy of fin data ( itr - quarterly or dfp - annual) A list with several dataframes containing financial statements my.f <- system.file('extdata/434_arac_ zip', package = 'GetITRData') my.l <- gitrd.read.zip.file(my.f, id.type = 'before 2011', type.fin.report = 'itr') print(my.l) gitrd.read.zip.file.type.1 Reads folder for zip file post 2011 (internal) Reads folder for zip file post 2011 (internal) gitrd.read.zip.file.type.1(rnd.folder.name, folder.to.unzip = tempdir(), type.fin.report)
9 gitrd.read.zip.file.type.2 9 rnd.folder.name Folder where unzipped files are available folder.to.unzip Folder to unzip files (default = tempdir()) type.fin.report Peridodicy of fin data ( itr - quarterly or dfp - annual) A list with financial statements # no example (this functions not used directly) gitrd.read.zip.file.type.2 Reads folder for zip file pre 2011 (internal) Reads folder for zip file pre 2011 (internal) gitrd.read.zip.file.type.2(rnd.folder.name, folder.to.unzip = tempdir(), type.fin.report) rnd.folder.name Folder where unzipped files are available folder.to.unzip Folder to unzip files (default = tempdir()) type.fin.report Peridodicy of fin data ( itr - quarterly or dfp - annual) A list with financial statements # no example (this functions not used directly)
10 10 gitrd.search.company gitrd.search.company Helps users search for a company name Helps users search for a company name gitrd.search.company(char.to.search) char.to.search Character for partial matching Names of found companies ## Not run: # dontrun: keep cran check fast gitrd.search.company('gerdau') ## End(Not run)
11 Index gitrd.convert.to.wide, 2 gitrd.export.itr.data, 3 gitrd.fix.dataframes, 3 gitrd.get.bovespa.data, 4 gitrd.get.info.companies, 5 gitrd.getitrdata, 6 gitrd.read.fwf.file, 7 gitrd.read.zip.file, 8 gitrd.read.zip.file.type.1, 8 gitrd.read.zip.file.type.2, 9 gitrd.search.company, 10 11
Package GetHFData. November 28, 2017
Package GetHFData November 28, 2017 Title Download and Aggregate High Frequency Trading Data from Bovespa Version 1.5 Date 2017-11-27 Downloads and aggregates high frequency trading data for Brazilian
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Package virustotal. May 1, 2017
Title R Client for the VirusTotal API Version 0.2.1 Maintainer Gaurav Sood Package virustotal May 1, 2017 Use VirusTotal, a Google service that analyzes files and URLs for viruses,
Package raker. October 10, 2017
Title Easy Spatial Microsimulation (Raking) in R Version 0.2.1 Date 2017-10-10 Package raker October 10, 2017 Functions for performing spatial microsimulation ('raking') in R. Depends R (>= 3.4.0) License
Package balance. October 12, 2018
Title Visualize Balances of Compositional Data Version 0.1.6 URL http://github.com/tpq/balance Package balance October 12, 2018 BugReports http://github.com/tpq/balance/issues Balances have become a cornerstone
Package BiocManager. November 13, 2018
Package BiocManager November 13, 2018 Title Access the Bioconductor Project Package Repository A convenient tool to install and update Bioconductor packages. Version 1.30.4 Depends R (>= 3.5.0) Imports
Package guardianapi. February 3, 2019
Package guardianapi February 3, 2019 Title Access 'The Guardian' Newspaper Open Data API Version 0.1.0 Access to the 'Guardian' open API , containing all articles
Package geneslope. October 26, 2016
Type Package Package geneslope October 26, 2016 Title Genome-Wide Association Study with SLOPE Version 0.37.0 Date 2016-10-26 Genome-wide association study (GWAS) performed with SLOPE, short for Sorted
Package rtext. January 23, 2019
Title R6 Objects for Text and Data Date 2019-01-21 Version 0.1.21 Package January 23, 2019 For natural language processing and analysis of qualitative text coding structures which provide a way to bind
Package modules. July 22, 2017
Title Self Contained Units of Source Code Version 0.6.0 Date 2017-07-18 Package modules July 22, 2017 Description Provides modules as an organizational unit for source code. Modules enforce to be more
Package shinyfeedback
Type Package Package shinyfeedback August 20, 2018 Title Displays User Feedback Next to Shiny Inputs Version 0.1.0 Date 2018-08-19 Easily display user feedback next to Shiny inputs. The feedback message
Package repec. August 31, 2018
Type Package Title Access RePEc Data Through API Version 0.1.0 Package repec August 31, 2018 Utilities for accessing RePEc (Research Papers in Economics) through a RESTful API. You can request a and get
Package nngeo. September 29, 2018
Type Package Title k-nearest Neighbor Join for Spatial Data Version 0.2.2 Package nngeo September 29, 2018 K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor
Package widyr. August 14, 2017
Type Package Title Widen, Process, then Re-Tidy Data Version 0.1.0 Package widyr August 14, 2017 Encapsulates the pattern of untidying data into a wide matrix, performing some processing, then turning
Package rsppfp. November 20, 2018
Package rsppfp November 20, 2018 Title R's Shortest Path Problem with Forbidden Subpaths Version 1.0.3 Maintainer Melina Vidoni An implementation of functionalities
Package phrasemachine
Type Package Title Simple Phrase Extraction Version 1.1.2 Date 2017-05-29 Package phrasemachine May 29, 2017 Author Matthew J. Denny, Abram Handler, Brendan O'Connor Maintainer Matthew J. Denny
Package bikedata. April 27, 2018
Package bikedata April 27, 2018 Title Download and Aggregate Data from Public Hire Bicycle Systems Version 0.2.0 Download and aggregate data from all public hire bicycle systems which provide open data,
Package ezsummary. August 29, 2016
Type Package Title Generate Data Summary in a Tidy Format Version 0.2.1 Package ezsummary August 29, 2016 Functions that simplify the process of generating print-ready data summary using 'dplyr' syntax.