Introduction to R for Finance
Lore Dirick
Manager of Data Science Curriculum at Flatiron School
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
coerce_me <- matrix(c(2, 3, 4, "hi"), nrow = 2, ncol = 2)
coerce_me
[,1] [,2]
[1,] "2" "4"
[2,] "3" "hi"
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]
59.20 59.25 60.22 59.95
17.44 18.32 19.11 18.22
micr <- c(59.20, 59.25, 60.22, 59.95)
ebay <- c(17.44, 18.32, 19.11, 18.22)
cor(micr, ebay)
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