R Programming For Beginners | R Language Tutorial | R Tutorial For Beginners | Edureka
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The document outlines the agenda for an R for analytics certification training. It includes topics like R installation, RStudio installation, variables, data types, operators, conditional statements, loops, functions, strings. For each topic, it provides brief explanations and syntax examples. The goal is to teach fundamental R programming concepts and skills needed for data analytics using R.
R Programming For Beginners | R Language Tutorial | R Tutorial For Beginners | Edureka
- 1. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING What is Hadoop?
- 2. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING ➢ Variables ➢ Data types ➢ Operators ➢ Conditional Statements ➢ Loops ➢ Strings ➢ Functions Agenda
- 3. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING R Installation
- 4. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING RStudio Installation
- 5. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Variables Data types Operators Conditional Statements Loops Functions Strings
- 6. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Variable Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory. X = 15 Y <- “Hello” TRUE -> B B = TRUE Y = Hello X = 15 Memory
- 7. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Operators Conditional Statements Loops FunctionsVariables Data types Strings
- 8. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Data types A data type, in programming, is a classification that specifies which type of value a variable has and what type of mathematical, relational or logical operations can be applied to it without causing an error. X = 15 Y <- “Hello” TRUE -> B B = TRUE Y = 3.142857 X = 15 Memory Integer Numeric Boolean
- 9. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Data types Data types
- 10. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Vector A Vector is a sequence of data elements of the same basic type There are 5 Atomic vectors, also termed as five classes of vectors. True or False 15L, 30L, 1699L 5, 3.14285, 945678 4+3i, 8+7i ‘A’, “Hey”, ’True’ Integer Numeric Complex Character Logical
- 11. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Matrix Matrix are the R objects in which the elements are arranged in a two-dimensional rectangular layout. matrix(data, nrow, ncol, byrow, dimnames) ❖ data is the input vector which becomes the data elements of the matrix. ❖ nrow is the number of rows to be created. ❖ ncol is the number of columns to be created. ❖ byrow is a logical clue. If TRUE then the input vector elements are arranged by row. ❖ dimname is the names assigned to the rows and columns. Syntax
- 12. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Array Arrays are the R data objects which can store data in more than two dimensions. array( data, dim, dimnames) array( c(0:15), dim=c( 4,4,2,2) ) Syntax
- 13. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Lists Lists are the R objects which contain elements of different types like − numbers, strings, vectors and another list inside it. list(data)Syntax vtr1 <- c(1:5) vtr2 <- c("hi", "Hello", "How are you") vtr3 <-c(TRUE,TRUE, FALSE, FALSE) myList <- list(vtr1,vtr2, vtr3)
- 14. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Data Frame Data Frame is a table or a two-dimensional array-like structure in which each column contains values of one variable and each row contains one set of values from each column. data.frame(data)Syntax data.frame(mtcars)
- 15. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Conditional Statements Loops Functions Strings Variables Data types Operators
- 16. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Data Operators in R Operators Relational Operators Arithmetic Operators Logical Operators Assignment Operations Operators are the constructs which can manipulate the value of operands.
- 17. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Arithmetic and Relational Operators Arithmetic a + b a – b a * b a / b a %% b a^b a%/%b Subtraction Division Multiplication Modulus Exponent a == b a != b a > b a < b a >= b a <= b Equal To Greater Than Not Equal To Less Than Greater Than Equal To Less Than Equal To Relational Addition Floor Division
- 18. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Assignment Operator There are two types of Assignment operators: Left and Right Left Right Equals Assign Equals Assign x=5 x<- 15 20=x 25 -> x
- 19. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Logical Operator There are three types of logical operators: AND, NOT, OR a & b It combines each element of vectors and gives a output TRUE if both the elements are TRUE. a | b It combines each element of the vectors and gives a output TRUE if one the elements is TRUE. !a Takes each element of the vector and gives the opposite logical value.
- 20. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Operators Conditional Statements Loops Functions Strings Variables Data types
- 21. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Conditional Statements If Statement If code End Start If Condition FALSETRUE Syntax:
- 22. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Conditional Statements Else If Statement If code End Start If Condition FALSE TRUE FALSE Else If Condition TRUE Else If code Syntax:
- 23. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Conditional Statements Else Statement Syntax: If code End Start If Condition FALSE TRUE FALSE Else If Condition TRUE Else If code Else code
- 24. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Conditional Statements Switch case Statement Syntax: Start switch Condition Case value1 Statement 1 Case value2 Statement 2 Case value3 Statement 3 default Statement End
- 25. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Conditional Statements Operators Functions Strings Variables Data types Loops
- 26. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Loops in R A loop statement allows us to execute a statement or group of statements multiple times. Loops Loops forwhilerepeat
- 27. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Repeat Loop repeat Repeats a statement or group of statements while a given condition is TRUE. It tests the condition after executing the loop body. Syntax: CHECK CONDITION EXECUTE BLOCK START EXIT LOOPFALSE TRUE repeat
- 28. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING While Loop while Loop Repeats a statement or group of statements while a given condition is TRUE. It tests the condition before executing the loop body. Syntax: CHECK CONDITION EXECUTE BLOCK START repeat EXIT LOOP FALSE TRUE
- 29. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING For Loop for Loop Repeats a statement or group of for a fixed number of times. It tests the condition before executing the loop body. Syntax: Check condition Initialization START Iteration Execute Statements Exit loop FALSE TRUE repeat
- 30. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Loops Strings Conditional Statements Operators FunctionsVariables Data types
- 31. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Any value written within a pair of single quote or double quotes in R is treated as a string. String in R Syntax:
- 32. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING String in R Sequence Operations: ➢ Concatenation: str1<- ‘Hi’ str2<- “How are you?” paste(str1,str2) "Hi How are you? " ➢ Character Count: nchar(str)str<-“Edureka” 7 ➢ Case Change toupper(str) tolower(str) str<-“Edureka” EDUREKA edureka ➢ Substring substring(str, 3, 6)str<-“Edureka” “urek”
- 33. https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Functions Loops Conditional Statements OperatorsVariables Data types Strings
- 34. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Functions A function is a block of organized, reusable code that is used to perform a single, related action. Functions Predefined Functions User Defined Functions Function Add Call (3,5) Call (6,9) Call (1,5) Call 1 Call 2 Call 3 Return 8 Return 15 Return 6 Functions In R
- 35. ` https://www.edureka.co/r-for-analyticsEDUREKA DATA ANALYTICS WITH R CERTIFICATION TRAINING Session In A Minute Install R & RStudio Data Types Conditional Statements Loops Data Operators Functions