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R supports procedural programming with capabilities and, for a few functions, object-oriented programming with generic capabilities. A generic perform functions in a different way depending on the classes of arguments handed to it.
Although the Python language could also serve the identical goal, R is preferred more than it because Python is not really an open supply language.
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During this handbook all instructions are specified in code boxes, Recommended Reading exactly where the R code is printed in black, the remark textual content in blue and the output produced by R in inexperienced. All opinions/explanations begin with the common comment sign '#' to avoid them from staying interpreted by R as commands.
I'm running a equipment Studying model that will likely have functions transforming in accordance with the instruction set. So I'm making a vector that contains the predictors' identify, that I simply call: predictors
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Among the many piece de resistances of using the R setting is the ease with which end users can compose their own personal programs and custom made functions. The R programming syntax is very simple to discover, even for consumers with none prior programming experience.
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