x <- c(2,5,7,10,12)
y <- x*3
print(y)
## [1] 6 15 21 30 36
values <- c(3,6,8,2,5)
squared_values <- sqrt(values)
print(squared_values)
## [1] 1.732051 2.449490 2.828427 1.414214 2.236068
data <- c(10,50,100,150,200)
log_data <- log(data)
print(log_data)
## [1] 2.302585 3.912023 4.605170 5.010635 5.298317
angles <- c(0,pi/4,pi/2,pi,3*pi/2)
cos_values <- cos(angles)
print(cos_values)
## [1] 1.000000e+00 7.071068e-01 6.123032e-17 -1.000000e+00 -1.836910e-16
INTERMEDIATE LEVEL
x <- c(0.56,0.82,0.23,0.77,0.24)
z <- sin(x)^x+exp(x)
print(z)
## [1] 2.452351 3.044041 1.970330 2.916380 1.979600
x <- c(20,25,30,35,40)
temperatures_farenheit <- x*9/5+32
print(temperatures_farenheit)
## [1] 68 77 86 95 104
a <- c(10,20,30,40)
b <- c(15,25,35,45)
diff <- abs(a-b)
print(diff)
## [1] 5 5 5 5
numbers <- c(5,8,3,10,7)
mean_vec <- mean(numbers)
adjusted_numbers <- numbers-mean_vec
print(adjusted_numbers)
## [1] -1.6 1.4 -3.6 3.4 0.4
ADVANCED LEVEL
expenses <- c(1200,800,950,1300,1050,980)
total_vec <- sum(expenses)
total_vec
## [1] 6280
min(expenses)
## [1] 800
max(expenses)
## [1] 1300
data <- c(0.3,0.9,0.7,1.2,0.6)
transformed_data <- ifelse(data < 0.5, data^2, ifelse(data > 1, log(data),data))
sum_vec <- sum(transformed_data)
print(sum_vec)
## [1] 2.472322