pqR - a pretty quick version of R

PqR - a pretty quick version of R. PqR is a new version of the R interpreter. It is based on R-2.15.0 and later versions distributed by the R Core Team at r-project.org. And is now compatible with R-2.15.1. It improves on the R Core version in many ways, such as. Speeds up many functions, as well as the general operation of the interpreter. Automatically performs some numerical computations in parallel on multi-core processors. Extends the R language to allow reliable code to be written more easily.

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The web site pqr-project.org currently has an average traffic classification of zero (the lower the superior). We have analyzed seven pages inside the site pqr-project.org and found fourteen websites interfacing with pqr-project.org. There is one contacts and directions for pqr-project.org to help you reach them. The web site pqr-project.org has been on the internet for six hundred and five weeks, four days, thirteen hours, and one minute.
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Nov 2013

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The web site pqr-project.org was created on November 16, 2013. It is now six hundred and five weeks, four days, thirteen hours, and one minute young.
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LINKS TO WEBSITE

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Setting up Jupyter for Deep Learning on EC2. This post is a simple guide on setting up an EC2 server for deep learning as quickly as possible. You could use the Amazon Linux version, I just personally prefer Ubuntu. Move to Review and Launch. On the security groups you will need to open ports 22, 443 and 8888.

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Thursday, December 1, 2016. Efficiently Saving and Sharing Data in R. It is essential for the effective distribution and sharing of data that it use the minimum amount of disk space and be rapidly accessible for use by potential users. Object representation format as a ASCII.

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Exact computation of sums and means. A while ago, I came across a mention of the Python math. Which sums a set of floating-point values. The result is a new paper of mine on Fast exact summation using small and large superaccumulators. How large vectors in R might be stored compactly.

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My thoughts about R and analytics. The free, open, and proprietary flavors of R. The basics, the classics, and the magics about lists. How to keep using R after your data analysis is finished. Vectorization, matrix operations, and readability.

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pqR - a pretty quick version of R

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PqR - a pretty quick version of R. PqR is a new version of the R interpreter. It is based on R-2.15.0 and later versions distributed by the R Core Team at r-project.org. And is now compatible with R-2.15.1. It improves on the R Core version in many ways, such as. Speeds up many functions, as well as the general operation of the interpreter. Automatically performs some numerical computations in parallel on multi-core processors. Extends the R language to allow reliable code to be written more easily.

PARSED CONTENT

The web site pqr-project.org states the following, "PqR - a pretty quick version of R." I noticed that the website also stated " PqR is a new version of the R interpreter." They also said " It is based on R-2. 0 and later versions distributed by the R Core Team at r-project. And is now compatible with R-2. It improves on the R Core version in many ways, such as. Speeds up many functions, as well as the general operation of the interpreter. Automatically performs some numerical computations in parallel on multi-core processors. Extends the R language to allow reliable code to be written more easily."

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