R Basic

R is.integer() function checks if a variable or an object is of type integer. It returns TRUE if it is an integer and FALSE otherwise. Numbers are stored in either integer or double (floating-point) data types. In R, the simple number 5 is not of type integer; it is a value of type double. To … Read more

The is.nan() is a built-in R function that checks if a vector or any valid object contains “Not a Number (NaN)” values. It returns a logical vector of the same length as the input, with each element being TRUE if the corresponding element in the input is NaN and FALSE otherwise. By default, this function … Read more

The is.infinite() function checks each element of a vector or an R object contains infinity. If an element is infinite, the corresponding element in the output vector is TRUE. Otherwise, FALSE.  By default, it handles atomic vectors, but it can also handle other data types. In R, there are two types of infinity: Inf (positive … Read more

as.character() The as.character() is a generic function in R that converts any type of object to a character object. If you pass complex data types such as lists or data frames to this function, it will convert the whole structure into a character object. It has different internal methods to handle different types of input … Read more

In the process of data cleaning, you often need to identify and remove non-finite values from the datasets before analysis. The actual non-finite (infinite) values are Inf(positive infinity) and –Inf(negative infinity). NA and NaN are special cases. is.finite() R is.finite() function checks whether input objects are finite. By default, it handles atomic vectors, but it can … Read more

R consists of various data types, and “factor” is one of them. You can use the factor type to represent categorical data such as gender (male or female), marital status(married, divorced, single, widowed), etc. If you want to validate the data and ensure that you want to handle categorical data efficiently, you must first identify … Read more

The most efficient and idiomatic way to check if a vector is empty in R is by using the built-in length() function and checking whether its length is 0. If “length(vec) == 0” returns TRUE, the vector is empty; otherwise, it is not empty. An empty vector means it has no elements. One thing to note … Read more

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