#> [31] "31" "32" "33" "34" NA "36" "37" "38" "39" "fizz" #> [64] "other" "other" "other" "other" "other" "large" "large" "other" "other" This […] #> [8] 1.2247449 1.4142136#> [1] "other" "robot" "robot" "large" "other" "other" "other" "robot" "other" logical, but all RHSs must evaluate to the same type of vector.Both LHS and RHS may have the same length of either 1 or #> [1] "1" "2" "3" "4" "fizz" "6" In these situations, we can use this Nested If Else concept in R but, please be careful while using it.For example, every person is eligible to work if the person is 18 years old or above. Here we'll# take advantage of the fact that `if` returns `NULL` when there is #> [11] NA NA NA "buzz" "fizz" NA NA NA NA "fizz" Before we get into the example, let us see the syntax behind the R Nested If Else statement.The basic syntax of the Nested If Else Statement in R Programming language is as follows:The following picture shows you the flow chart of the Nested If statement in R Programming.This R Nested If Else program allows the user to enter their age, and then we are going to store it in the variable Within the R Nested If Else program example, If the specified person’s age is less than 18, then he is not eligible to work. So, we use another If Statement also called Nested If Else Statement in R programming to check his previous experience, educational background, or any job-specific requirements. #> [10] "other" "other" "other" "large" "other" "other" "large" "other" "other" #> Leia Organa 150 49 feminine Human other #> [31] "31" "32" "33" "34" "fizz buzz" "36" Source: R/case_when.R This function allows you to vectorise multiple if_else () statements. #> [31] NA NA NA NA "fizz" NA NA NA NA "fizz" Within the R Nested If Else program example, If the specified person’s age is less than 18, then he is not eligible to work. If you want# to explicitly handle NA values you can use the `is.na` function:# All RHS values need to be of the same type. It is an R equivalent of the SQL CASE WHEN statement. If you'd like to reuse# the same patterns, extract the `case_when()` call in a normal# Such functions can be used inside `mutate()` as well:# `case_when()` ignores `NULL` inputs. Within the Else statement, there is another Boolean expression (called as Nested If Else). #> R2-D2 96 32 masculine Droid robot #> [37] "37" "38" "39" "fizz" "41" "buzz" The If Else statement allows us to print different statements depending upon the expression result (TRUE, or FALSE). Just a tip for posterity. #> [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" #> [73] "robot" "other" "other" "other" "large" "large" "other" "other" "large" #> [28] "other" "other" "other" "other" "other" "other" "other" "large" "large" Sometimes we have to check further when the condition is TRUE. #> Luke Skywalker 172 77 masculine Human other #> [28] "other" "other" "other" "other" "other" "other" "other" "large" "large" #> [82] "other" "other" "other" "robot" "other" "other"#> [1] "other" "other" "other" "large" "other" "other" "other" "other" "other" #> [46] "other" "other" "other" "other" "other" "other" "other" "other" "large" Place one If Statement inside another If Statement called as Nested If Else in R Programming. #> R5-D4 97 32 masculine Droid robot #> Obi-Wan Kenobi 182 77 masculine Human other #> Darth Vader 202 136 masculine Human large #> [26] NA NA 7 NA 5 NA NA NA NA 35 NA NA NA NA 5 NA 7 NA NA 5 NA NA NA 7 5#> [1] -2.0000000 -1.5000000 -1.0000000 -0.5000000 0.0000000 0.7071068 1.0000000