Compute Single Order Integral value of a Function in R Programming - integrate() Function Last Updated : 30 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report integrate() function in R Language is used to compute single order integral of the function provided. Syntax: integrate(f, lower, upper) Parameters: f: represents a function lower: represents lower limit of integration upper: represents upper limit of integration To know about more option parameters, use below command: help("integrate") Example 1: r # Create function f<-function(x) x^3 + 2*x # Integrate from 0 to 1 integrate(f, 0, 1) Output: 1.25 with absolute error < 1.4e-14 Example 2: r # Create function f <- function(x) {1/((x+1)*sqrt(x))} # Integrate from 0 to 5 integrate(f, lower = 0, upper = 5) Output: 2.300524 with absolute error < 0.00011 Comment More infoAdvertise with us U utkarsh_kumar Follow Improve Article Tags : R Language R Math-Function 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 R Programming Language - Introduction R is a programming language and software environment that has become the first choice for statistical computing and data analysis. Developed in the early 1990s by Ross Ihaka and Robert Gentleman, R was built to simplify complex data manipulation and create clear, customizable visualizations. Over ti 4 min read R-Data Frames R Programming Language is an open-source programming language that is widely used as a statistical software and data analysis tool. Data Frames in R Language are generic data objects of R that are used to store tabular data. Data frames can also be interpreted as matrices where each column of a matr 6 min read Read contents of a CSV File in R Programming - read.csv() Function read.csv() function in R Language is used to read "comma separated value" files. It imports data in the form of a data frame. The read.csv() function also accepts a number of optional arguments that we can use to modify the import procedure. we can choose to treat the first row as column names, sele 3 min read R-Data Types Data types in R define the kind of values that variables can hold. Choosing the right data type helps optimize memory usage and computation. Unlike some languages, R does not require explicit data type declarations while variables can change their type dynamically during execution.R Programming lang 5 min read Data Visualization in R Data visualization is the practice of representing data through visual elements like graphs, charts, and maps. It helps in understanding large datasets more easily, making it possible to identify patterns and trends that support better decision-making. R is a language designed for statistical analys 5 min read apply(), lapply(), sapply(), and tapply() in R In this article, we will learn about the apply(), lapply(), sapply(), and tapply() functions in the R Programming Language. The apply() collection is a part of R essential package. This family of functions helps us to apply a certain function to a certain data frame, list, or vector and return the r 4 min read R-Matrices R-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. These are some examples of matrices:R - MatricesCreat 10 min read R-Operators Operators are the symbols directing the compiler to perform various kinds of operations between the operands. Operators simulate the various mathematical, logical, and decision operations performed on a set of Complex Numbers, Integers, and Numericals as input operands. R supports majorly four kinds 5 min read Functions in R Programming A function accepts input arguments and produces the output by executing valid R commands that are inside the function. Functions are useful when we want to perform a certain task multiple times.In R Programming Language when we are creating a function the function name and the file in which we are c 5 min read Like