ParallelR is one of the fastest growing website in R community, our team spend lots of our sparse time and efforts to figure out the useful and efficient ways to use R with latest parallel computing skills and open our codes in GitHub. Meanwhile, many famous R developers, researchers and users volunteer to write wonderful articles in our site for readers.

ParallelR is a non-profit website, even we don't accept advertising in our site, so that we pay for domain name, hosting and bandwidth bills while purchase hardware equipments and software productions. In return all we need is your strong support to stay alive and keep providing our services to you all.

If you think ParallelR is helpful and you want to study more in our site. Please make a donation to us and encourage others to do so. You can donate us from a single dollar to a couple of dollars.

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