
The dplyr package provides a fast, consistent tool for working with data frames like objects, both in memory and out of memory. The dplyr package is required by the DatastreamDSWS2R package. It contains the install_github() functions used to install R package from GitHub. This R package makes package development easier by providing R functions that simplify and expedite common tasks. If the devtools package is not installed, use this command to install the devtools package. (Note that R-4.1.3 is the current version as this is being written, but use whatever shows up as current.) You may need to save the file R-4.1.3-win.exe, and then click on it to execute. If Windows, click on base and then on Download R-4.1.3 for Windows. To install the Datastream API for R, open the R 圆4 GUI and run the following commands: Click on your operating system (Windows, MAC, Linux) and follow directions. The R version of Datastream is available at With histories back to the 1950’s, you can explore relationships between data series perform correlation analysis, test investment and trading ideas and research countries, regions and industries. In this article, R 3.6.1 64bit is used.ĭatastream is the world’s leading time-series database, enabling strategists, economists and research communities’ access to the most comprehensive financial information available. After that, both R 32bit and 64bit are installed on the machine.

Download R for Windows and then install it on the machine.
#INSTALL R STUDIO ON WINDOWS 10 MAC OS#
The precompiled binary distributions of R packages (Linux, Mac OS X, and Windows) are available at the Comprehensive R Archive Network. Next, I will demonstrate steps to setup Jupyter Notebook for R to be used with Refinitiv's APIs on Windows.
#INSTALL R STUDIO ON WINDOWS 10 HOW TO#
Moreover, in the end, there is a link to R examples that demonstrate how to use Refinitiv's APIs with Jupyter Notebook.


It is widely used among statisticians and data miners for developing statistical software and data analysis. R is an interpreted programming language for statistical computing and graphics supported by the R Foundation.
