Note that binary operators work on vectors and matrices as well as scalars. There are four main categories of Operators in R programming language. Using logical vector as index. @ Tyler, thanks for your reply. For |, & and xor a logical or raw vector. – Jd Baba Feb 2 '13 at 6:04 All numbers greater than 1 are considered as logical value TRUE. For example, ! For example, the built-in R function, is.numeric() checks if an R object is a numeric. Actually what I need to do is to assign a logical vector that identifies that type==1 , area ==3 and worth ==6 . This is not always necessary. The connectives ⊤ and ⊥ can be entered as T and F. The rules for determining the attributes of the result are rather complicated. 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. Logical Operators. Arithmetic Operators . 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 […] (x < 5) is the same as x >= 5. > 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 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 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. 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 !, a logical or raw vector of the same length as x. After that i need to apply which() function to identify the rows of data frame when the logical vector is true. Following table shows the logical operators supported by R language. Each element of the first vector is compared with … Base R also provides the subset() function for the filtering of rows by a logical vector. However, there are cases in R where the NOT operator is especially handy. They are shown in the following picture : When we use a logical vector for indexing, the position where the logical vector is TRUE is returned. Details. This useful feature helps us in filtering of vector as shown below. For example, to test if x equals 1 and y equals 2 we do the following: > x = 1; y = 2 You can enter logical operators in several different formats. All four are logical(1) vectors. All four are logical(1) vectors. 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. It is applicable only to vectors of type logical, numeric or complex. Details. R's binary and logical operators will look very familiar to programmers. 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. R Operators. Operator: Description + addition-subtraction * multiplication / division ^ or ** exponentiation: x %% y : This tool generates truth tables for propositional logic formulas. In R, the operators “|” and “&” indicate the logical operations OR and AND. R Tutorial – We shall learn about R Operators – Arithmetic, Relational, Logical, Assignment and some of the Miscellaneous Operators that R programming language provides. The elements of shorter vectors are recycled as necessary (with a warning when they are recycled only fractionally). 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