R Basic

What criteria are being evaluated to determine if a data frame is empty? There is only one efficient criterion: the number of rows in the data frame. If the number of rows is 0, the data frame is empty; otherwise not. Then, you will have one question in mind. How about columns of the data … Read more

What do we mean when we say an empty list? An empty list does not contain elements. It exists in the memory but does not have any elements stored in it. The efficient way to check if a list is empty in R is by comparing its length with 0. If it returns TRUE, that … Read more

Whether you want to do membership testing, filter data, identify missing values, check for duplicates, or conditional operations, you have to check if an element or object is present within the other element or object. At this juncture, is.element() function asserts its relevance. is.element() The is.element() is a built-in R function that checks the presence … Read more

Whether you want to perform calculations efficiently or derive accurate analysis, you need a double-precision numeric format. Double-precision numbers provide higher precision than single-precision numbers making it more efficient in numeric calculations. That’s where as.double() and is.double() functions come into the picture. as.double() The as.double() function converts an input R object, such as integers or characters, … Read more

If you are working with imaginary components, you might want to find whether you are working with complex numbers or not and that’s where the is.complex() function helps you. The is.complex() is a built-in R function that checks whether an input object is of type “complex”. It returns TRUE if it is complex and FALSE … Read more

R does not have a “string” data type like other languages, but it does have a “character” type.  Whether you want to identify character columns, text processing, or data validation, you must check whether the object is a character or not before operating on it. That’s where you need a function that does identification. is.character() … Read more

A vector is a data structure that stores multiple values of the same type.  The is.vector() function does not merely check whether an R object is a vector. Instead, it checks whether an input object is a vector with no attributes other than names. Syntax is.vector(obj, mode) Parameters Name Value obj It is an input … Read more

Overview Whether working on a small program or project, if a function receives a “NULL” value when it is not expected, it can lead to an error or unexpected results. To avoid this type of unexpected error, we have to put a mechanism in place that checks whether the input is “NULL” or not. This … Read more

To convert a list to a numeric value in R, you can combine the unlist() function and the as.numeric() function. The “unlist()” function produces a vector that contains all the atomic components and the as.numeric() function returns a numeric value or converts any value to a numeric value. Syntax as.numeric(unlist(data)) Parameters data: It is the data … Read more

To convert a double or float to an integer, you can use the “as.integer()” function. Syntax as.integer(x) Parameters x: It is the object. Return value It returns an integer object. Visual representation Example 1: Converting a float to an integer r_float <- 11.21 print(r_float) print(typeof(r_float)) r_int <- as.integer(r_float) print(r_int) print(typeof(r_int)) Output [1] 11.21 [1] “double” … Read more