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.Subtraction .Multiplication .square root
# Making the data set as a vector
Problem_1_data <- c(1.5, 15, 0, 54, 23)
#Subtraction
Problem_1_data[1] - Problem_1_data[5]
## [1] -21.5
#Multiplication
Problem_1_data[1] * Problem_1_data[5]
## [1] 34.5
#square root
sqrt(Problem_1_data[1])
## [1] 1.224745
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
mean(scores)
## [1] 73.27778
#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
scores[scores > mean(scores)]
## [1] 87.0 100.0 91.0 95.0 81.5 74.0 92.0
#create a new set of scores, call it new_scores. The new list should include elements 2 to 6
new_scores <- scores[c(2, 6)]
# Create a vector with the number 1 repeated 5 times. Print it
five_ones <- rep(1, times = 5)
five_ones
## [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
seq_1_10 <- seq(1,10,by=2)
seq_1_10
## [1] 1 3 5 7 9
# Create a vector by repeating a sequence from 1 to 3, 2 times. call it
seq_1_3_2x <- rep(1:3, times = 2)
seq_1_3_2x
## [1] 1 2 3 1 2 3
# Create a vector with different class types
mixed_vector <- c(1, "two", 3.0, TRUE, 2)
mixed_vector
## [1] "1" "two" "3" "TRUE" "2"
# Check the class of the vector
class(mixed_vector)
## [1] "character"
## Coerce to numeric and print it
numeric_vector <- as.numeric(mixed_vector)
## Warning: NAs introduced by coercion
numeric_vector
## [1] 1 NA 3 NA 2