“Everyone knows that debugging is twice as hard as writing a program in the first place. So, if you're as clever as you can be when you write it, how will you ever debug it?”,said a well-known computer scientist, Brian W. Kernighan. This is what every programmer experiences when they have to write the code and the journey is still not reached. There is always a point in a programmer’s life where either writing a code becomes difficult or re-writing it after debugs brings them saturation. What about programming for statistical computation? What do you think it sounds like? Well, R Programming is one such programming language that is used by the statisticians and data miners for developing statistical software. It allows specialised statistical techniques, graphical devices, import/export capabilities, and, reporting tools through its user-created packages. R-programming is done using Integrated Development Environment (IDE) provided by R-Studio, which needs further knowledge about the tool so that it could be implemented appropriately. Most of the student population find working with R an upstream task. It is because it works for statistical computing and graphics which isn’t pure program-based. R-programming assignment helps in many ways yet toughens the task.
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