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A.1.1 Windows. To install R on Windows, click the “Download R for Windows” link. Then click the “base” link. Next, click the first link at the top of the new page. This link should say something like “Download R 3.0.3 for Windows,” except the 3.0.3 will be replaced by the most current version of R. The link downloads an installer ...
R-packages. Announcements of new or enhanced contributed R packages on CRAN, typically by the package authors: R-packages messages 2024. R-packages messages 2023. R-packages messages 2022. R-packages messages 2021. R-packages messages 2020. R-packages messages 2019. R-packages messages 2018.
Finding Your Way To R. We think R is a great place to start your data science journey because it is an environment designed for data science. R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions. All these features help you think about problems as ...
Logistic regression in R. Principal Component Analysis in R. Histograms in R. Hierarchical Clustering in R. Decision Trees in R. Importing Data into R. Contingency Tables in R. Easily search the documentation for every version of every R package on CRAN and Bioconductor.
The operators <- and = assign into the environment in which they are evaluated. The operator <- can be used anywhere, whereas the operator = is only allowed at the top level (e.g., in the complete expression typed at the command prompt) or as one of the subexpressions in a braced list of expressions. answered Feb 16, 2010 at 8:56.
numpy.r_. #. Translates slice objects to concatenation along the first axis. This is a simple way to build up arrays quickly. There are two use cases. If the index expression contains comma separated arrays, then stack them along their first axis. If the index expression contains slice notation or scalars then create a 1-D array with a range ...
R Regex Patterns. Now, we're going to overview the most popular R regex patterns and their usage and, at the same time, practice some of the stringr functions. Before doing so, let's take a look at a very basic example. Namely, let's check if a unicorn has at least one corn 😉. str_detect ('unicorn', 'corn')
