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Inovi Technologies is the best training institute in R programming in Noida. Programming in R Training by a specialist. In this Introduction R, you will master the basic concepts of this beautiful open source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to analyze your first data. With more than 2 million users worldwide, data and data science are becoming the fastest programming language. Each year, the number of R users increases by 40% and the growing number of organizations is using it in their daily activities.
In this chapter, you will take your first step with R. You will learn how to use the console as a console and how to specify a variable. You will also learn the basic data types in R
In this R course, we will take you to the Las Vegas Tour, where you will learn how to analyze the results of your sons by using vectors in R after completing this chapter, you can make vectors, give them names Can choose elements from them, and compare different vectors.
In the chapter you will learn how to work with the array in R at the end of the chapter, you can create an array and understand how you can calculate the storage with them. a. To illustrate the use of the array, analyze this Star Wars box office number. The force you are living with!
Often, the data comes in limited categories. For example, human hair color can be classified as black /brown/blonde/ red /brown/white (and maybe some other option for those who put it). In R, clear data is stored in the factors. Looking at the importance of these factors in the data analysis, you should start learning how to create, subscribe and compare them!
With most data sets you will work, the data will be stored as a frame. By the end of this chapter focusing on R chapters, you will be able to create a data frame, select interesting parts of the data frame and order data frames according to some variables.
Listed in opposition to vectors, such as your to-do list at home or work, can hold various types of components. This chapter tells you how to create, name and subscribe to these lists.
1.Reading data from external files
3. Analysis of Variance (ANOVA)
4. K-means Clustering
5. Association Rule Mining
6. Regression in R
7.Analyzing Relationship with Regression
8. Advance Regression
9. Logistic Regression
10. Advance Logistic Regression
11. Receiver Operating Characteristic (ROC)
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