![]() ![]() R’s source code is a powerful technique for improving programming skills. Take a deep insight into Arguments in R programming R’s C interface It first evaluates x > 5: (FALSE, FALSE, FALSE, FALSE, FALSE)Īny() function reports whether any of those values are TRUE, while all() function works and reports if all the values are TRUE. Suppose that R executes the following: any(x > 5) Let’s see this by example: > #Author DataFlair The any() and all() functions are shortcuts because they report any or all of their arguments as TRUE. Usage of R all() Function all(…, na.rm=FALSE) It takes the set of vectors and returns a set of logical vectors, in which all of the values are TRUE. ![]() na.rm means state whether NA values should be ignored or not.… means one or more R objects that need to be checked.Usage of R any() FunctionĬheck if any or all the elements of a vector are TRUE. It takes the set of vectors and returns a set of logical vectors, in which at least one of the value is true. You can make a vector of nine values going from -2.7 to 1.3 like this: > seq(from = -2.7, to = 1.3, length.out = 9) Afterwards, R can calculate the step size by itself. > seq(from = 4.5, to = 3.0, by = -0.5)Ĭ) You can specify the length of the sequence by using the argument, length.out. In R, a vector with numbers 4.5 to 3.0 in steps of 0.5. Seq() function is used to describe the intervals by which numbers should decrease or increase. The code 1:5 gives you a vector with the numbers 1 to 5, and 2:–5 create a vector with the numbers 2 to –5.ī) Using the seq(), we make steps in a sequence. To create a list of vectors over a specified range, we use the colon (:) symbol. How to create vectors in RĪ) In order to use integers to create vectors: Let’s now discuss how we can apply this seq() to any vector with the help of examples. The two common cases that exhibit fast primitives are seq_along and seq_len. seq.int poses a few restrictions due to its primitiveness but it is also much faster. The seq function is standard generic in nature that also has a default method. You should definitely check the R Recursive Function Tutorial 2. ![]() It will repeat the vector until it reaches the specified length, even if the last repetition is incomplete. You can use the rep() function in several ways if you want to repeat the complete vector.Ī) To repeat the vector c(0, 0, 7) three times, use this code: > rep(c(0, 0, 7), times = 4)ī) We can also repeat every value by specifying each argument, like this: > rep(c(2, 4, 2), each = 2)Ĭ) For each value, we can tell R how often it has to repeat: > rep(c(0, 7), times = c(4,3))ĭ) In seq, we use the argument, length.out to define R. Let’s now discuss how we can apply this rep() to any vector with the help of examples. The two common cases that exhibit faster-simplified versions are rep.int and rep_len. Furthermore, these functions are not generic. Rep() is used for replicating the values in x. Stay updated with latest technology trends ![]()
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