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What is R?
R is a language and environment for statistical computing and graphics. It is used for applied mathematics analysis, graphics presentation and coverage. R provides a variety of statistical linear or non-linear modeling, classical statistical test, time series analysis, classification, clustering, regression etc and graphical techniques.
R programming is mainly used for data analysis. It is done by step by step programming, transforming, discovering and modeling. Apart from the data analysis R programming language is used for statistical inference and machine learning algorithms. Many companies use the R language for analysis like Uber, Google, facebook etc.
Machine learning algorithms in R
Linear regression
Logistic Regression
Naive Bayes
Random forest
Decision Tree
Support vector machine
KNN
K-means clustering
Topics in R
Function : A function is a set of statements organized together to perform a specific task.
Loops : R provide the repeat loop, for loop and while loop to handle the data.
Vectors : it contains data types like integer, character, numeric or logical
List : it contains the homogeneous data structure and it contains the mixed data types.
R packages : its collection of R functions. For example dplyr is an R library that contains the function filter(), summarise(), arrange() etc.
R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes
an effective data handling and storage facility,
a suite of operators for calculations on arrays, in particular matrices,
a large, coherent, integrated collection of intermediate tools for data analysis,
graphical facilities for data analysis and display either on-screen or on hardcopy, and
a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.
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