It seems that the Python language is enough for everything: to write a script for the server, analyze the data, and train the neural network. Moreover, there are many libraries for statistics and data analysis for it – you can take and use any of them.
But often, another language is used for analytics and work with statistics – R. However, if you want to get a job in a big tech company and not just work with data science, then it is better to choose not R, but C++ for study. This language may seem a lot more difficult to you, but the good news is that you can always get help with your C++ homework. Thus, you will not get stuck on one task for a long time and will be able to quickly work through difficult points in the study.
Let's find out how to start your R assignments.
1. Use additional modules
To make working with data even easier, the community of scientists and developers made many different modules, each for its own task (they are also called packages). Among them, there are also basic modules, without which it will not work in R: the base module or the grDevices module, which is responsible for displaying graphs on the screen.
If you need something specialized for working with data, most likely, there is already a module for this. For example, for cluster analysis, the cluster module is connected, and the nlme module is used to analyze nonlinear models. Now there are about two thousand modules available, so, most likely, a ready-made module can be found for each assignment.
2. Learn variables and vectors
To declare a variable, it is enough to declare its name and assign something to it, and R itself will figure out what type is needed here. More precisely, there are many data structures in R: vectors, matrices, lists, factors, and so on. The most important is the vector – it is a set of elements that have the same data type.
The types of vectors themselves are:
· Logical
· Integer
· Double
· Complex
· Character
· Raw.
With vectors, you can do any operations from vector algebra.
3. Figure out how input and output work
To output the value of a variable, you just need to write its name. And to output the message, you need the print (): print command. If you need to output a graph of a function, you can use the standard plot () command – it will plot a graph in the form of points, histograms or connect everything with lines.
Since R is designed to work with large amounts of data, data is input not from the keyboard but from files. But if you need keyboard input, use the readline () command.
4. Learn assignment and comparison
Comparison is denoted, as usual, double sign equals. But there are two assignments, an arrow, and an equal sign. If not to go into the nuances of use, then the arrow is responsible for the global use of the variable so that it is visible to everyone, and the equal sign is for local use, that is, inside some subroutine.
Follow these tips the next time you need to deal with your R assignment. This language is not difficult to cope with if you know how to work with it correctly. Good luck!
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