Compute Variance and Standard Deviation of a value in R Programming - var() and sd() Function Last Updated : 26 May, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report var() function in R Language computes the sample variance of a vector. It is the measure of how much value is away from the mean value. Syntax: var(x) Parameters: x : numeric vector Example 1: Computing variance of a vector Python3 # R program to illustrate # variance of vector # Create example vector x <- c(1, 2, 3, 4, 5, 6, 7) # Apply var function in R var(x) print(x) Output: 4.667 Here in the above code, we took an example vector "x1" and calculated its variance. sd() Function sd() function is used to compute the standard deviation of given values in R. It is the square root of its variance. Syntax: sd(x) Parameters: x: numeric vector Example 1: Computing standard deviation of a vector Python3 # R program to illustrate # standard deviation of vector # Create example vector x2 <- c(1, 2, 3, 4, 5, 6, 7) # Compare with sd function sd(x2) print(x2) Output: 2.200 Here in the above code, we took an example vector "x2" and calculated its standard deviation. Comment More infoAdvertise with us Next Article Calculate the Median Absolute Deviation in R Programming - mad() Function A akhilsharma870 Follow Improve Article Tags : Programming Language R Language R Functions Similar Reads Repeatedly Evaluate an Expression in R Programming - replicate() Function replicate() function in R Language is used to repeatedly evaluate a function or expression. It is member of apply family in R base package. In this article, we'll learn syntax and implementation of replicate() function with the help of examples. Syntax: replicate(n, expr, simplify) Parameters: n: re 1 min read Calculate the Median Absolute Deviation in R Programming - mad() Function The Median Absolute Deviation is calculated in R Language using the mad() function. It is a statistical measurement of a dataset's dispersion or variability. Because it is resistant to outliers and extreme values, the MAD can serve as a robust alternative to standard deviation.The Median Absolute De 2 min read Function that calculates mean, variance, and skewness simultaneously in a dataframe in R In statistical analysis, understanding the central tendency (mean), dispersion (variance), and asymmetry (skewness) of data is essential for gaining insights into its distribution and characteristics. This article explores how to compute these three statistical measures simultaneously across multipl 3 min read Statistical Measures in R: Average, Variance and Standard Deviation Statistical measures like average, variance, and standard deviation are important in data analysis. These metrics help summarize data, identify patterns, and understand data distributions. In this article, we'll explore how to calculate these measures in R.Average in R The average, also known as the 4 min read Performing F-Test in R programming - var.test() Method var.test() Method in R Programming language perform the f-test between two normal populations with some hypothesis that variances of two populations are equal in R programming. var.test() Method in R Syntax Syntax: var.test() Return: Returns the F-Test score for some hypothesis.  var.test() Method 1 min read What Does .SD Stand for in data.table in R? data.table is a popular package in R for data manipulation, offering a high-performance version of data frames with enhanced functionality. One of the key features data.table is its special symbol .SD, which stands for "Subset of Data." This article will explore the theory behind .SD, its usage, and 4 min read Like