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R is free software and a programming language that possesses an extensive catalog of graphical methods and statistical data. This includes machine learning algorithms, time series, linear regression, statistical reference, etc.
R programming language is mainly entrusted for academics. Most students find it challenging to complete their tasks and use R programming homework help from external sources. Additionally, many large companies use this language for the extensive computation of data. On top of this, data analysis is also done with R by programming, discovering, transforming, modeling, and communicating the results.
Advantages And Features of R Programming Language
Programming is undeniable the most complex and complicated language for most academic students. With a never-ending list, most students look for R programming help. So, if you have more hair on your hand than your head, then we are here to help. Take a look at the advantages and features of R programming to understand better.
It is a platform-independent and cross-platform programming language that allows it to work across all operating systems.
It allows you to perform various machine learning operations such as regression and classification.
It provides exemplary support for data wrangling as it has packages like readr, dplyr to transform messy data into an organized manner.
It facilitates procedural programming with object-oriented and characteristic programs that have standard features.
R programming is loaded with packages, and therefore it helps gather up units of all R functions in one product.
Its programming features include database types, observing data, transferring data, lacking data, variable labels, etc.
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A function is known as the block code that contains a set of statements. All of these are organized together to perform a specific task. For example, you can pass data, also known as parameters, into a function, and it will return data as a result.
These are objects in which the elements are arranged in a two-dimensional rectangular layout. It contains ingredients that are similar to atomic types.
Vectors and Lists
Vectors are the most basic data objects in the R programming language. There are basically 6 types of vectors logical, double, integer, complex, character, and raw. On the other hand, lists are objects that contain elements like strings, numbers, vectors, etc.
This is a two-dimensional array-like structure or a table where each column contains one variable value, and each row includes a set of values from each column.
They are a collection of R functions, sample data, and compiled code. Some of the packages include readr, dplyr, tidyr, etc.
Sample Question And Solution Of R Programming Assignment
Question: Explain How R Commands Are Written?
Answer: Every R programming includes their things-Comments, Variables, and Keywords. Variables store data; keywords are reserved words with specific meaning for the compiler, and comments improve readability.
Variables In R
Previously all the codes were written within “print()." However, now you can use variables, unlike any programming language. In R, you can write a code in:
= (Simple Assignment)
<- (Leftward Assignment)
-> (Rightward Assignment)
Var1 = “Simple Assignment”
Var2 <- “Leftward Assignment”
“Rightward Assignment” -> var3
Comment In R
Print("This is a red color")
"This is a multi-line comment that should be put inside within double or single quote"
 "This is a red color!"
Keywords In R:
This includes words like if, repeat, while, else, next, and break in to control flow statements. True and False are used as Boolean statements. NaN means not a number value, and NULL defines an undefined value. Inf denotes infinity values.
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List Of Some More R Programming Assignment Help Samples For Students
Most Frequently Asked Questions By R Programming Students
Q.1. What Are The Uses Of R Programming?
Answer: R programming is used for a variety of reasons across all industries. Take a look to understand the elaborated use:
First, it is used for graphics and statistical computing.
You can analyze, clean, and graph your data as per your requirements.
Second, researchers use this to estimate and display results.
Third, banking industries use this to monitor credit risk modeling and risk analytics.
Q.2. What Are The Features Of R Programming?
Answer: The features of the R programming language are as follows:
It features procedural programming with object-oriented and characteristics programs
It is loaded with packages for gathering up units of all R functions in one product.
It consists of database types, observing data, transferring data, lacking data, variable labels, etc.
It is an interpreted language that helps with matrix arithmetic.
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