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.Subtraction .Multiplication .square root
15-1.5
## [1] 13.5
15*1.5
## [1] 22.5
sqrt(15)
## [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
avg<- mean(scores)
avg<-round(avg, digits=2)
print(avg)
## [1] 73.28
#Find the Maximum and Minimum score
highest_score <- max(scores) #maximum score
lowest_score <- min(scores) #minimum score
highest_score
## [1] 100
lowest_score
## [1] 0
#Find how many scores were above the average, use coding for this
scores[scores>avg]
## [1] 87.0 100.0 91.0 95.0 81.5 74.0 92.0
#Create a new set called new_scores that includes the elements from indices 2 to 6 of the scores vector
new_scores <- c(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
rep_x <- rep(1, times=5)
rep_x
## [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
vec_x <- c(1:10)
print(vec_x)
## [1] 1 2 3 4 5 6 7 8 9 10
# Create a vector by repeating a sequence from 1 to 3, 2 times. Print it.
vec_2<- rep(1:3, times=2)
vec_2
## [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
print(mixed_vector)
## [1] "1" "two" "3" "TRUE" "2"