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.Subtraction .Multiplication .square root
set <- c(1.5, 15, 0, 54,23)
set
## [1] 1.5 15.0 0.0 54.0 23.0
Subtraction <- set[5] - set[2]
Subtraction
## [1] 8
Multiplication <- set[1]*set[4]
Multiplication
## [1] 81
square_root <- sqrt(set[2])
square_root
## [1] 3.872983
Suppose you have a set of numbers representing the assignments scores:
scores <- c(87,100, 91, 95, 81.5, 0, 39, 74, 92)
#Calculate the average of the scores, and round your answer to two decimal number
round(mean(scores))
## [1] 73
#Find the Maximum and Minimum score
max(scores)
## [1] 100
min(scores)
## [1] 0
#Find how many scores were above the average, use coding for this
sum(scores > mean(scores))
## [1] 7
#Create a new set called new_scores that includes the elements from indices 2 to 6 of the scores vector
new_scores <- scores[2:6]
new_scores
## [1] 100.0 91.0 95.0 81.5 0.0
Read section 2.3, then answer the following questions
# Create a vector with the number 1 repeated 5 times. Print it
myVector <- rep(1, times = 5)
myVector
## [1] 1 1 1 1 1
# Create a vector with a sequence of numbers from 1 to 10 with a step of 2. Print it
sec_vector <- seq(from = 1, to = 10, by = 2)
sec_vector
## [1] 1 3 5 7 9
# Create a vector by repeating a sequence from 1 to 3, 2 times. Print it.
third_vector <- rep(1:3, times = 2)
third_vector
## [1] 1 2 3 1 2 3
mixed_vector <- c(1, "two", 3.0, TRUE, 2)
# Check the class of the vector
class(mixed_vector)
## [1] "character"
## Coerce to numeric and print it
as.numeric(mixed_vector)
## Warning: NAs introduced by coercion
## [1] 1 NA 3 NA 2
mixed_vector
## [1] "1" "two" "3" "TRUE" "2"