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Compute value of Quantile Chi Square Density in R Programming - qchisq() Function
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Compute Variance and Standard Deviation of a value in R Programming - var() and sd() Function

Last Updated : 26 May, 2020
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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.

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Compute value of Quantile Chi Square Density in R Programming - qchisq() Function
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akhilsharma870
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Article Tags :
  • Programming Language
  • R Language
  • R Functions

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