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Online you can get paid for surveys, searching the web and much more! Am I Worth It feat. Exclusive Unlimited Lease. Beats for days! Good Man Sample Type Beat. Recent Posts. Joyner Lucas — 10 Bands. Ariana Grande-Thank U, Next. The descending diagonal stroke develops as a graphic variant in some Western Greek alphabets writing rho as , but it was not adopted in most Old Italic alphabets; most Old Italic alphabets show variants of their rho between a 'P' and a 'D' shape, but without the Western Greek descending stroke.

Indeed, the oldest known forms of the Latin alphabet itself of the 7th to 6th centuries BC, in the Duenos and the Forum inscription, still write r using the 'P' shape of the letter. The descending stroke of the Latin letter R has fully developed by the 3rd century BC, as seen in the Tomb of the Scipios sarcophagus inscriptions of that era.

From around 50 AD, the letter P would be written with its loop fully closed, assuming the shape formerly taken by R. The minuscule lowercase form r developed through several variations on the capital form.

Along with Latin minuscule writing in general, it developed ultimately from Roman cursive via the uncial script of Late Antiquity into the Carolingian minuscule of the 9th century. In handwriting, it was common not to close the bottom of the loop but continue into the leg, saving an extra pen stroke.

The loop-leg stroke shortened into the simple arc used in the Carolingian minuscule and until today. Use of r rotunda was mostly tied to blackletter typefaces, and the glyph fell out of use along with blackletter fonts in English language contexts mostly by the 18th century. This name is preserved in French and many other languages. A good example of a trilled R is in the Spanish word for dog, perro.

In William Shakespeare's Romeo and Juliet , such a reference is made by Juliet's nurse in Act 2, scene 4, when she calls the letter R 'the dog's name'. The reference is also found in Ben Jonson's English Grammar. Canadian English also uses the '-re' ending, unlike American English, where the ending is usually replaced by '-er' center. This does not affect pronunciation. R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.

Pre-compiled binary versions are provided for various operating systems. Although R has a command line interface, there are several graphical user interfaces, such as RStudio, an integrated development environment. R is an implementation of the S programming language combined with lexical scoping semantics, inspired by Scheme. There are some important differences, but much of the code written for S runs unaltered.

R and its libraries implement a wide variety of statistical and graphical techniques, including linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, and others. R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages. Many of R's standard functions are written in R itself, which makes it easy for users to follow the algorithmic choices made.

NET [25] or Python code to manipulate R objects directly. Due to its S heritage, R has stronger object-oriented programming facilities than most statistical computing languages. Extending R is also eased by its lexical scoping rules. Another strength of R is static graphics, which can produce publication-quality graphs, including mathematical symbols. Dynamic and interactive graphics are available through additional packages.

R has Rd, its own LaTeX-like documentation format, which is used to supply comprehensive documentation, both online in a number of formats and in hard copy. R is an interpreted language; users typically access it through a command-line interpreter.

This calculation is interpreted as the sum of two single-element vectors, resulting in a single-element vector. The prefix [1] indicates that the list of elements following it on the same line starts with the first element of the vector a feature that is useful when the output extends over multiple lines.

R's data structures include vectors, matrices, arrays, data frames similar to tables in a relational database and lists. The scalar data type was never a data structure of R. Many features of R derive from Scheme. R uses S-expressions to represent both data and code. Functions are first-class and can be manipulated in the same way as data objects, facilitating meta-programming, and allow multiple dispatch. Variables in R are lexically scoped and dynamically typed. Function arguments are passed by value, and are lazy -- that is to say, they are only evaluated when they are used, not when the function is called.

R supports procedural programming with functions and, for some functions, object-oriented programming with generic functions. A generic function acts differently depending on the classes of arguments passed to it.

In other words, the generic function dispatches the function method specific to that class of object. For example, R has a generic print function that can print almost every class of object in R with a simple print objectname syntax. Although used mainly by statisticians and other practitioners requiring an environment for statistical computation and software development, R can also operate as a general matrix calculation toolbox — with performance benchmarks comparable to GNU Octave or MATLAB.

R has also been identified by the FDA as suitable for interpreting data from clinical research.



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