Think like a programmeR: the workshop

May 26, 2022 | Mirai Solutions

Learn how to program your own algorithms in R with us on June 22nd! With the 3rd Chapter of our “Introduction to R” learning path we continue our journey towards building strong R programming foundations and skills. With the “Programming R” workshop...
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RcppAPT 0.0.9: Minor Update

May 25, 2022 | Thinking inside the box

A new version of the RcppAPT package with the R interface to the C++ library behind the awesome apt, apt-get, apt-cache, … commands and their cache powering Debian, Ubuntu and the like arrived on CRAN earlier today. RcppAPT allows you to query the (D... [Read more...]

One sample proportion test in R-Complete Guide

May 25, 2022 | Jim

The post One sample proportion test in R-Complete Guide appeared first on Data Science Tutorials One sample proportion test in R, when there are just two categories, the one proportion Z-test is used to compare an observed proportion to a theoretical one. This article explains the fundamentals of the one-proportion ... [Read more...]

Calling R From Python With rpy2

May 24, 2022 | R Views

This post on R Views is about… Python! Surprising, I know. Python has several well-written packages for statistics and data science, but CRAN, R’s central repository, contains thousands of packages implementing sophisticated statistical algorithms that have been field-tested over many years. Thanks to the rpy2 package, Pythonistas can take ...
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Artificial Intelligence Examples-Quick View

May 24, 2022 | Jim

The post Artificial Intelligence Examples-Quick View appeared first on Data Science Tutorials - Are you curious about Artificial Intelligence Examples? If you answered yes, then this article is for you.  We’ll go over some Artificial Intelligence instances here. So, spend a few minutes reading this article to learn everything ... [Read more...]

Bayesian sampling without tears

May 23, 2022 | xi'an

Following a question on Stack Overflow trying to replicate a figure from the paper written by Alan Gelfand and Adrian Smith (1990) for The American Statistician, Bayesian sampling without tears, which precedes their historical MCMC papers, I looked at the R code produced by the OP and could not spot an ...
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