If ... Else - R (Conditions and If Statements)

Question 1

98) Conditions and If Statements - R supports the usual logical conditions from mathematics:

Answer 1

== Equal x == y

Question 2

99) Conditions and If Statements - R supports the usual logical conditions from mathematics:

Answer 2

!= Not equal x != y

Question 3

100) Conditions and If Statements - R supports the usual logical conditions from mathematics:

Answer 3

>

Greater than	x > y

Question 4

101) Conditions and If Statements - R supports the usual logical conditions from mathematics:

Answer 4

< Less than x < y

Question 5

102) Conditions and If Statements - R supports the usual logical conditions from mathematics:

Answer 5

> = Greater than or equal to x >= y

Question 6

103) Conditions and If Statements - R supports the usual logical conditions from mathematics:

Answer 6

<= Less than or equal to x <= y

Question 7

104) IF - An “if statement” is written with the if keyword, and it is used to specify a block of code to be executed if a condition is TRUE:

Answer 7

a <- 33 b <- 200
if (b > a) {print(“b is > than a”)}

Question 8

105) ELSE IF - The else if keyword is R’s way of saying “if the previous conditions were not true, then try this condition”:

Answer 8

a <- 33 b <- 33 if (b > a) {print(“b is > than a”)} else if (a == b) {print (“a and b are equal”)}

Question 9

106) IF ELSE - The else keyword catches anything which isn’t caught by the preceding conditions:

Answer 9

a <- 200 b <- 33 if (b > a) {print(“b is > than a”)} else if (a == b) {print(“a and b are equal”)} else {print(“a is > than b”)}

Question 10

107) ELSE - You can also use else without else if:

Answer 10

a <- 200 b <- 33 if (b > a) {print(“b is > than a”)} else {print(“b is not greater than a”)}