The rules for determining the attributes of the result are rather complicated. For example, to test if x equals 1 and y equals 2 we do the following: > x = 1; y = 2 All four are logical(1) vectors. When we use a logical vector for indexing, the position where the logical vector is TRUE is returned. It is applicable only to vectors of type logical, numeric or complex. Base R also provides the subset() function for the filtering of rows by a logical vector. You can enter logical operators in several different formats. Extra logical operators to make code more consistent Make nicer (shorter) conversion functions (int() as opposed to as.integer()) Simple checks for usability (e.g is.bad_for_calcs()) The above functionality, I’d found myself manually adding into my R projects to clean up the code. All numbers greater than 1 are considered as logical value TRUE. The connectives ⊤ and ⊥ can be entered as T and F. For example, the propositional formula p ∧ q → ¬r could be written as p /\ q -> ~r, as p and q => not r, or as p && q -> !r. There are four main categories of Operators in R programming language. However, there are cases in R where the NOT operator is especially handy. (x < 5) is the same as x >= 5. For !, a logical or raw vector of the same length as x. They are shown in the following picture : TRUE and FALSE are reserved words denoting logical constants in the R language, whereas T and F are global variables whose initial values set to these. Operator Result x == y Returns TRUE if x exactly equals y x != y Returns TRUE if x differs from y x > y Returns TRUE if […] This is not always necessary. Logical vectors are coerced to integer vectors in contexts where a numerical value is required, with TRUE being mapped to 1L, FALSE to 0L and NA to NA_integer_. For example, ! Note that binary operators work on vectors and matrices as well as scalars. Logical Operators. Actually what I need to do is to assign a logical vector that identifies that type==1 , area ==3 and worth ==6 . @ Tyler, thanks for your reply. To build logical vectors in R, you’d better know how to compare values, and R contains a set of operators that you can use for this purpose. Using logical vector as index. Arithmetic Operators . TRUE and FALSE are reserved words denoting logical constants in the R language, whereas T and F are global variables whose initial values set to these. Just like the OR and AND operators, we can use the NOT operator in combination with logical operators. For example, the built-in R function, is.numeric() checks if an R object is a numeric. Details. In R, the operators “|” and “&” indicate the logical operations OR and AND. Operator: Description + addition-subtraction * multiplication / division ^ or ** exponentiation: x %% y : R Tutorial – We shall learn about R Operators – Arithmetic, Relational, Logical, Assignment and some of the Miscellaneous Operators that R programming language provides. This tool generates truth tables for propositional logic formulas. Consider the following R code: Consider the following R code: subset ( data, group == "g1" ) # Apply subset function # x1 x2 group # 3 a g1 # 1 c g1 # 5 e g1 Each element of the first vector is compared with … After that i need to apply which() function to identify the rows of data frame when the logical vector is true. > x[c(TRUE, FALSE, FALSE, TRUE)] [1] -3 3 > x[x < 0] # filtering vectors based on conditions [1] -3 -1 > x[x > 0] [1] 3 – Jd Baba Feb 2 '13 at 6:04 The elements of shorter vectors are recycled as necessary (with a warning when they are recycled only fractionally). R Operators. 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