Depending on your needs and uses for R, it can be convenient to have a reasonable amount of memory and processor capability. Often this power is necessary only on occasion, and it may not be cost-effective to own the hardware. This is where hosting R on the cloud may be helpful. Cloud instances bring on-demand resources that are readily scaled up or down as each situation requires. These days, there are several groups that provide such services at very reasonable ...
© Matt Wiley and Joshua F. Wiley 2020
M. Wiley, J. F. WileyAdvanced R 4 Data Programming and the Cloudhttps://doi.org/10.1007/978-1-4842-5973-3_1111. Getting Your Cloud
(1)
Victoria College, Victoria, TX, USA
(2)
Monash University, Melbourne, VIC, Australia
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