Compute the Value of F Density in R Programming - df() Function

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

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

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.

Compute the Value of F Density in R Programming - df() Function

akhilsharma870

Improve

Article Tags :

Similar Reads

Compute the Value of F Density in R Programming - df() Function

df() function in R Language is used to compute the density of F Distribution over a sequence of numeric values. It also plots a density graph for F Distribution. Syntax: df(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom Example 1: Python3 1== # R Program to compute # F Density # Cr

Compute value of Quantile Chi Square Density in R Programming - qchisq() Function

qchisq() function in R Language is used to compute value of chi square quantile function. It creates a quantile function plot for chi square distribution. Syntax: qchisq(vec, df) Parameters: vec: Vector of x-values df: Degree of Freedom Example 1: Python3 1== # R program to compute # Quantile Chi Sq

Compute the value of CDF on Uniform Distribution in R Programming - punif() Function

In R programming, punif() function is used to compute the value of Cumulative Distribution Function(CDF). Syntax: punif(q, min = 0, max = 1, lower.tail = TRUE, log.p = FALSE) Parameters: q: represents vector of quantiles min, max: represents lower and upper limits of the distribution lower.tail: rep

Compute the value of CDF over Studentized Range Distribution in R Programming - ptukey() Function

ptukey() function in R Language is used to compute the value of Cumulative Distribution Function(CDF) over Studentized Range for a sequence of numeric values. Syntax: ptukey(x, nmeans, df) Parameters: x: Numeric Vector nmeans: Number of means df: Degree of Freedom Example 1: Python3 1== # R Program

Compute value of Log Normal Quantile Function in R Programming - qlnorm() Function

qlnorm() function in R Language is used to compute the value of log normal quantile function. It also creates a plot of the quantile function of log normal distribution. Syntax: qlnorm(vec) Parameters: vec: x-values for normal density Example 1: Python3 1== # R program to compute value of # log norm

Condense Column Values of a Data Frame in R Programming - summarise() Function

summarise() function in R Language is used to condense various values of column of a data frame to one value. Syntax: summarise(x, expr) Parameters: x: Data Frame expr: Operation to condense data Example 1: Python3 1== # R program to condense data # of a data frame # Loading library library(dplyr) #

Compute Chi Square Density in R Programming - dchisq() Function

dchisq() function in R Language is used to compute chi square density for a vector of elements. It also creates a density plot for chi square distribution. Syntax: dchisq(vec, df) Parameters: vec: Vector of x-values df: Degree of Freedom Example 1: Python3 1== # R program to compute # Chi Square Den

Create Quantiles of a Data Set in R Programming - quantile() Function

quantile() function in R Language is used to create sample quantiles within a data set with probability[0, 1]. Such as first quantile is at 0.25[25%], second is at 0.50[50%], and third is at 0.75[75%]. Syntax: quantile(x) Parameters: x: Data set Example 1: Python3 1== # R program to create # quantil

Compute the Value of Negative Binomial Quantile Function in R Programming - qnbinom() Function

qnbinom() function in R Language is used to compute the value of negative binomial quantile function. It also creates a density plot of the negative binomial quantile function. Syntax: qnbinom(vec, size, prob) Parameters: vec: x-values for binomial density size: Number of trials prob: Probability Ex

Generate a set of Sample data from a Data set in R Programming - sample() Function

sample() function in R Language creates random sample based on the parameters provided in the function call. It takes either a vector or a positive integer as the object in the function parameter. Syntax: sample(x, size, replace) Parameters: x: indicates either vector or a positive integer or data f