What is a vector? Introduction to R for Finance Vectors and stock - PowerPoint PPT Presentation

Dec 10, 2023 •220 likes •380 views

INTRODUCTION TO R FOR FINANCE What is a vector? Introduction to R for Finance Vectors and stock prices > apple <- 159.4 > apple_stock <- c(159.4, 160.3, 161.3) > apple_stock [1] 159.4 160.3 161.3 > is.vector(apple) [1]

INTRODUCTION TO R FOR FINANCE What is a vector?
Introduction to R for Finance Vectors and stock prices > apple <- 159.4 > apple_stock <- c(159.4, 160.3, 161.3) > apple_stock [1] 159.4 160.3 161.3 > is.vector(apple) [1] TRUE > grocery <- c("apple", "orange", "cereal") > grocery [1] "apple" "orange" "cereal"
Introduction to R for Finance Vector names() > apple_stock <- c(159.4, 160.3, 161.3) > names(apple_stock) <- c("Monday", "Tuesday", "Wednesday") > apple_stock Monday Tuesday Wednesday 159.4 160.3 161.3
INTRODUCTION TO R FOR FINANCE Let’s practice!
INTRODUCTION TO R FOR FINANCE Vector manipulation
Introduction to R for Finance Vectors and friends > dan <- 100 > rob <- 50 > total <- dan + rob > dan <- c(100, 200, 150) > rob <- c(50, 75, 100) > monthly_total <- dan + rob > monthly_total [1] 150 275 250 > sum(monthly_total) [1] 675
Introduction to R for Finance More examples > a <- c(2.2, 12, 7) > b <- c(11.5, 8, 3.4) > # Subtraction! > c <- a - b > c [1] -9.3 4.0 3.6 > # Multiplication! > d <- a * b > d [1] 25.3 96.0 23.8 > # Recycling! > e <- 2 > f <- a * e > f [1] 4.4 24.0 14.0
INTRODUCTION TO R FOR FINANCE Let’s practice!
INTRODUCTION TO R FOR FINANCE Matrix - a 2D vector
Introduction to R for Finance Enter the matrix > my_matrix <- matrix(c(2, 3, 4, 5), nrow = 2, ncol = 2) > my_matrix [,1] [,2] [1,] 2 4 [2,] 3 5 > my_matrix2 <- matrix(c(2, 3, 4, 5), nrow = 2, ncol = 2, byrow = TRUE) > my_matrix2 [,1] [,2] [1,] 2 3 [2,] 4 5
Introduction to R for Finance Matrix coercion > coerce_me <- matrix(c(2, 3, 4, "hi"), nrow = 2, ncol = 2) > coerce_me [,1] [,2] [1,] "2" "4" [2,] "3" "hi"
Introduction to R for Finance cbind( ) and rbind( ) > micr <- c(59.20, 59.25, 60.22, 59.95) > ebay <- c(17.44, 18.32, 19.11, 18.22) > cbind(micr, ebay) micr ebay [1,] 59.20 17.44 [2,] 59.25 18.32 [3,] 60.22 19.11 [4,] 59.95 18.22 > rbind(micr, ebay) [,1] [,2] [,3] [,4] micr 59.20 59.25 60.22 59.95 ebay 17.44 18.32 19.11 18.22
Introduction to R for Finance cor()relation ● +1 : perfect positive linear relationship ● -1 : perfect negative linear relationship ● 0 : no linear relationship .908
Introduction to R for Finance cor()relation > micr <- c(59.20, 59.25, 60.22, 59.95) > ebay <- c(17.44, 18.32, 19.11, 18.22) > cor(micr, ebay) [1] 0.7835704 > micr_ebay_matrix <- cbind(micr, ebay) > cor(micr_ebay_matrix) micr ebay micr 1.0000000 0.7835704 ebay 0.7835704 1.0000000
INTRODUCTION TO R FOR FINANCE Let’s practice!

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