Assignments were a challenge, but satisfying to tackle.
Announcing the 1.7.0 release of the RStudio Professional Drivers, which includes security updates, a preview release of the Snowflake driver, an updated Oracle driver, and other changes. Announcing the 1.8.0 release of the RStudio Professional Drivers, with a fully supported Snowflake driver, a more compatible NTLMv2 support for the Microsoft SQLServer driver, and other updated drivers. We recommend reading this tutorial, in the sequence listed in the left menu. Both versions use 32-bit integers, which means they compute numbers to the same numerical precision. The difference occurs in the way each version manages memory. 64-bit R uses 64-bit memory pointers, and 32-bit R uses 32-bit memory pointers.
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This means 64-bit R has a larger memory space to use (and search through). It was a great course with an excellent teacher (Prof.Peng) who r&d tax credit teaches all of the contents with extra details. However, I think it would have been better to bring more examples during teaching time.
The funny percent-sign syntax is how R lets users define their own infix functions. An example of a built-in infix operator in R is +; the + in 1 + 2 actually does the function call `+`(1, 2) (you can see this by looking at the source code by typing in `+`). To install R on Windows, click the “Download R for Windows” link. Next, click the first link at the top of the new page.
A.1 How to Download and Install R
With growing support for a wide range of development environments, we believe this new release is the best single platform to support open source, code-first data science, whether your team is using R or Python. R comes preinstalled on many Linux systems, but you’ll want the newest version of R if yours is out of date. The exact installation procedure will vary depending on the Linux system you use. CRAN guides the process by grouping each set of source files with documentation or README files that explain how to install on your system. To install R on a Mac, click the “Download R for Mac” link. Next, click on the R-3.0.3 package link (or the package link for the most current release of R).