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R Programming course for newbies. R installation, data types, statements, functions, conditions, packages, data frames.
Lo que aprenderás
Requisitos
Descripción
R is a programming language regularly used for arithmetical computing and graphical demonstration to examine and visualize data. R is a software environment which is used to analyze numerical data and graphical representation. R lets us to do sectional programming using functions. R programming language was named R, founded on the first name letter of the two authors - Robert Gentleman and Ross Ihaka. An overall understanding of R should cover topics such as introduction, features, installation, rstudio ide, variables, datatypes, operators, if statement, vector, data handing, graphics, statistical modelling, etc. R not only allows us to do branching and looping but also allows to do modular programming using functions. R allows integration with the procedures written in the C, C++, .Net, Python, and FORTRAN languages to improve efficiency.
R is one of the most significant instrument which is used by investigators, data analyst, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data. R is available for Linux, MacOS, and Windows. R's binary and logical operators will look very acquainted to programmers. R can be used to compute a large variety of classical statistic tests. With R, it’s also possible to perform classification analysis such as Principal component analysis and clustering. Many types of graphs can be drawn using R, including, box plot, histogram, density curve, scatter plot, line plot, bar plot, etc.
Uplatz provides this extensive course on R Programming for Beginners.
R Programming for Beginners - Course Syllabus
Introduction to R Language
R Installation
R Data Structures
R Data Types
R Packages
Simple Calculator using R
R as a Calculator
Condition Statements in R
Looping in R
Repeat Statement in R
Sum of N Natural Numbers
Sum Recursion
Switch Statement in R
Data Pre-processing
Functions in R
Factors in R
Data frames in R
Data Reshaping
R Math built-in Functions
Melting and Casting in R
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