Day #14 - R Working Tips

	#Tip #1 - R - Case Sensitive
	#Tip #2 - R - Data Stored in memory
	#Tip #3 - Assigning variables
	var2 <-3
	var2
	var2 <-"Test"
	var2
	#Tip #4 - Working with Dates
	#Convert character to date using as.Date function
	as.Date('2016-04-16')
	#Tip #5 - Function to remove non available values (Missing Data)
	na.rm = TRUE
	#Test for Missing Data
	is.na(VariableName)
	#Tip #6
	#Vectors - Basic Data Structures One Dimensional Arrays
	#Created using c command
	a_vector <- c(1,2,3,4,5)
	a_vector
	#Index starts with 1
	a_vector[1]
	b_vector <- c("Apple","Orange","Banana")
	b_vector
	b_vector[2]
	#Negate - Ignore particular value, Return everything except 1
	b_vector[-1]
	#Tip #7 - Vector Operations
	v1 <- c(2,3,4)
	v2 <- c(10,11,12)
	v1+v2
	#Tip #8 - Lists
	#Can hold different data types
	emp_details_1 <- list(01,'Siva','India')
	emp_details_1
	emp_details_2 <- list(02,'TOM','USA')
	emp_details_2
	#Tip #9 - Data Frame (Store Rows and Columns)
	#Row bind
	df1 = rbind(emp_details_1,emp_details_2)
	df1
	#Column bind
	df2 = cbind(v1,v2)
	df2
	#Tip #10 - Empty vector and append elements
	a <- vector(mode="numeric", length=0)
	b <- vector(mode="numeric", length=0)
	a <- c(a,1)
	b <- c(b,2)
	a
	b
	#Tip #11 - Merge function - merge based on particular column
	#Tip #12 - Factors
	# R automatically recognizes
	#as.factor converts into factor
	#classification uses factors
	gender <- c("Male","Female")
	gender_cf <- as.factor(gender)
	gender_cf
	#Matrix Basics
	xx <- matrix(c(0.4, 0.6, 0.3, 0.7))
	xx
	xx <- matrix(c(0.4, 0.6, 0.3, 0.7), nrow=2)
	xx
	xx <- matrix(c(0.4, 0.6, 0.3, 0.7), nrow=2)
	xx <- t(xx)
	xx
	xx %*% xx

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Happy Learning!!!