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rtsdata
View on CRAN: Click
here
Download and install rtsdata package within the R console
Install from CRAN:
install.packages("rtsdata")
Install from Github:
library("remotes")
install_github("cran/rtsdata")
Install by package version:
library("remotes")
install_version("rtsdata", "0.1.4")
Attach the package and use:
library("rtsdata")
Maintained by
Irina Kapler
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-26
Latest Update: 2021-10-29
Description:
A tool that allows to download and save historical time series data
for future use offline. The intelligent updating functionality will only download
the new available information; thus, saving you time and Internet bandwidth.
It will only re-download the full data-set if any inconsistencies are detected.
This package supports following data provides: 'Yahoo' (finance.yahoo.com),
'FRED' (fred.stlouisfed.org), 'Quandl' (data.nasdaq.com),
'AlphaVantage' (www.alphavantage.co), 'Tiingo' (www.tiingo.com).
How to cite:
Irina Kapler (2018). rtsdata: R Time Series Intelligent Data Storage. R package version 0.1.4, https://cran.r-project.org/web/packages/rtsdata. Accessed 21 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for rtsdata
Functions, R codes and Examples using
the rtsdata R package
Some associated functions: DataSource . DataSources . DefaultStorageOptions . Functionality . ds.get.url . ds.load.csv . ds.storage.database . ds.storage.file.csv.load . ds.storage.file.csv . ds.storage.file.csv.save . ds.storage.file.exists . ds.storage.file.rdata . ds.storage.file.ticker . getSymbols . rtsdata .
Some associated R codes: Full rtsdata package functions and examples
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