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# Compute Variance and Standard Deviation of a value in R Programming – var() and sd() Function

• Difficulty Level : Easy
• Last Updated : 26 May, 2020

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

 `# 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

 `# 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.

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