Krunal Lathiya

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

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