Read xlsb files in R Last Updated : 16 Apr, 2025 Comments Improve Suggest changes Like Article Like Report A XLSB file is an Excel binary worksheet file that was created by Microsoft. In contrast to other Excel files, they hold information in binary format. The fact that XLSB files are binary means that they can be read and written much more quickly, which makes them helpful for large spreadsheets. In this article, we are going to see how we can read XLSB files in the R programming language.read_xlsb() methodWe are going to use the read_xlsb() method to read xlsb files in R. It comes within the library readxlsb. To install the library type the following command in the R environment:install.packages("readxlsb")Syntax:read_xlsb(path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, ...)Parameters:path: The path of the file.sheet: The name or the sheet's index that should be read.range: A named range or a string that represents an excel rangecol_names: A boolean used to specify whether to use the first row as column name.col_types: The type of the columns.na: A single string or an array of strings to represent missingtrim_ws: A boolean to whether trim whitespacesskip: The number of rows to skip.Read xlsb files using the read_xlsb() methodIn this example, firstly we are importing the readxlsb package and then storing the path of data.xlsb file in the "filePath" variable and then read that file using read_xlsb() method. R library(readxlsb) filePath<-"/home/aayussss2101/Desktop/geeksforgeeks/data.xlsb" read_xlsb(filePath,range="data!A1:F5") To run the file using the command:Rscript file.ROutput:File Output Comment More infoAdvertise with us Next Article R Programming Language - Introduction A aayushmohansinha Follow Improve Article Tags : Technical Scripter R Language Technical Scripter 2022 Similar Reads R Tutorial | Learn R Programming Language R is an interpreted programming language widely used for statistical computing, data analysis and visualization. R language is open-source with large community support. R provides structured approach to data manipulation, along with decent libraries and packages like Dplyr, Ggplot2, shiny, Janitor a 4 min read IntroductionR Programming Language - IntroductionR is a programming language and software environment that has become the first choice for statistical computing and data analysis. 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Syntax: print(x, digits, na.print) Parameters: x: specified argument to be displayed digits: defines minimal number of significant digits na.print: indicates NA values output format Example 1: Python3 # R program to illu 2 min read Control FlowControl Statements in R ProgrammingControl statements are expressions used to control the execution and flow of the program based on the conditions provided in the statements. These structures are used to make a decision after assessing the variable. In this article, we'll discuss all the control statements with the examples. In R pr 4 min read Decision Making in R Programming - if, if-else, if-else-if ladder, nested if-else, and switchDecision making in programming allows us to control the flow of execution based on specific conditions. In R, various decision-making structures help us execute statements conditionally. These include:if statementif-else statementif-else-if laddernested if-else statementswitch statement1. if Stateme 3 min read Switch case in RSwitch case statements are a substitute for long if statements that compare a variable to several integral values. Switch case in R is a multiway branch statement. It allows a variable to be tested for equality against a list of values. Switch statement follows the approach of mapping and searching 2 min read For loop in RFor loop in R Programming Language is useful to iterate over the elements of a list, data frame, vector, matrix, or any other object. It means the for loop can be used to execute a group of statements repeatedly depending upon the number of elements in the object. It is an entry-controlled loop, in 5 min read R - while loopWhile loop in R programming language is used when the exact number of iterations of a loop is not known beforehand. It executes the same code again and again until a stop condition is met. 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In R, Conversion Function are of two types: Con 4 min read Data StructuresData Structures in R ProgrammingA data structure is a particular way of organizing data in a computer so that it can be used effectively. The idea is to reduce the space and time complexities of different tasks. Data structures in R programming are tools for holding multiple values. R’s base data structures are often organized by 4 min read R StringsStrings are a bunch of character variables. It is a one-dimensional array of characters. One or more characters enclosed in a pair of matching single or double quotes can be considered a string in R. It represents textual content and can contain numbers, spaces, and special characters. An empty stri 6 min read R-VectorsR Vectors are the same as the arrays in R language which are used to hold multiple data values of the same type. One major key point is that in R Programming Language the indexing of the vector will start from '1' and not from '0'. We can create numeric vectors and character vectors as well. R - Vec 4 min read R-ListsA list in R programming is a generic object consisting of an ordered collection of objects. Lists are one-dimensional, heterogeneous data structures. The list can be a list of vectors, a list of matrices, a list of characters, a list of functions, and so on. A list in R is created with the use of th 6 min read R - ArrayArrays are important data storage structures defined by a fixed number of dimensions. Arrays are used for the allocation of space at contiguous memory locations.In R Programming Language Uni-dimensional arrays are called vectors with the length being their only dimension. Two-dimensional arrays are 7 min read R-MatricesR-matrix is a two-dimensional arrangement of data in rows and columns. In a matrix, rows are the ones that run horizontally and columns are the ones that run vertically. In R programming, matrices are two-dimensional, homogeneous data structures. 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Based on this blueprint, we select a car, which is the object. Each ca 7 min read Classes in R ProgrammingClasses and Objects are core concepts in Object-Oriented Programming (OOP), modeled after real-world entities. In R, everything is treated as an object. An object is a data structure with defined attributes and methods. A class is a blueprint that defines a set of properties and methods shared by al 3 min read R-ObjectsIn R programming, objects are the fundamental data structures used to store and manipulate data. Objects in R can hold different types of data, such as numbers, characters, lists, or even more complex structures like data frames and matrices.An object in R is important an instance of a class and can 3 min read Encapsulation in R ProgrammingEncapsulation is the practice of bundling data (attributes) and the methods that manipulate the data into a single unit (class). It also hides the internal state of an object from external interference and unauthorized access. 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It helps in reducing complexity and allows the programmer to work with high-level concepts without worrying about the implementation.In R, abstra 3 min read Looping over Objects in R ProgrammingOne of the biggest issues with the “for†loop is its memory consumption and its slowness in executing a repetitive task. When it comes to dealing with a large data set and iterating over it, a for loop is not advised. In this article we will discuss How to loop over a list in R Programming Language 5 min read S3 class in R ProgrammingAll things in the R language are considered objects. Objects have attributes and the most common attribute related to an object is class. The command class is used to define a class of an object or learn about the classes of an object. Class is a vector and this property allows two things:  Objects 8 min read Explicit Coercion in R ProgrammingCoercing of an object from one type of class to another is known as explicit coercion. It is achieved through some functions which are similar to the base functions. But they differ from base functions as they are not generic and hence do not call S3 class methods for conversion. Difference between 3 min read Error HandlingHandling Errors in R ProgrammingError Handling is a process in which we deal with unwanted or anomalous errors which may cause abnormal termination of the program during its execution. In R Programming, there are basically two ways in which we can implement an error handling mechanism. Either we can directly call the functions lik 3 min read Condition Handling in R ProgrammingDecision handling or Condition handling is an important point in any programming language. Most of the use cases result in either positive or negative results. Sometimes there is the possibility of condition checking of more than one possibility and it lies with n number of possibilities. In this ar 5 min read Debugging in R ProgrammingDebugging is a process of cleaning a program code from bugs to run it successfully. While writing codes, some mistakes or problems automatically appears after the compilation of code and are harder to diagnose. So, fixing it takes a lot of time and after multiple levels of calls. Debugging in R is t 3 min read Like