Compute Randomly Drawn Weibull Density in R Programming - rweibull() Function

Compute Randomly Drawn Cauchy Density in R Programming - rcauchy() Function

Last Updated : 25 Jun, 2020

rcauchy() function in R Language is used to compute random cauchy density among a range of inputs.

Syntax: rcauchy(N, scale) Parameters: N: Sample Size scale: Scale to plot graph

Example 1:

Python3 1==

# R program to generate 
# random cauchy density points

# Setting seed for
# random number generation
set.seed(1000)

# Set sample size
N <- 20

# Calling rcauchy() Function
y <- rcauchy(N, scale = 10)
y

Output:

 [1]   16.654755   -9.459054    3.740548  -14.639724 -193.891140    2.160767
 [7]  -10.735449  -37.226131    8.051377   10.392275   19.616577   -9.662595
[13]   15.442965   -4.484467   -9.147612    2.330620  431.105051  -22.117519
[19]    2.730892  -37.046773

Example 2:

Python3 1==

# R program to generate 
# random cauchy density points

# Setting seed for
# random number generation
set.seed(1000)

# Set sample size
N <- 500

# Calling rcauchy() Function
y <- rcauchy(N, scale = 10)

# Plotting graph
plot(y)

Output:

Compute Randomly Drawn Weibull Density in R Programming - rweibull() Function

N

nidhi_biet

Improve

Article Tags :

Similar Reads

Compute Randomly Drawn F Density in R Programming - rf() Function

rf() function in R Language is used to compute random density for F Distribution. Syntax: rf(N, df1, df2) Parameters: N: Sample Size df: Degree of Freedom Example 1: Python3 1== # R Program to compute random values # of F Density # Setting seed for # random number generation set.seed(1000) # Set sam

Compute Randomly Drawn Chi Square Density in R Programming - rchisq() Function

rchisq() function in R Language is used to compute random chi square density for a set of values. Syntax: rchisq(N, df) Parameters: N: Sample Size df: Degree of Freedom Example 1: Python3 1== # R program to generate # random chi square density points # Setting seed for # random number generation set

Compute Randomly Drawn Weibull Density in R Programming - rweibull() Function

rweibull() function in R Language is used to compute random density for Weibull distribution. Syntax: rweibull(N, shape) Parameters: N: Sample Size shape: Shape Parameter Example 1: Python3 1== # R program to compute random # Weibull Density # Setting seed for # random number generation set.seed(100

Compute Randomly Drawn Poisson Density in R Programming - rpois() Function

rpois() function in R Language is used to compute random density for poisson distribution. Syntax: rpois(N, lambda) Parameters: N: Sample Size lambda: Average number of events per interval Example 1: Python3 # R program to compute random # Poisson Density # Setting seed for # random number generatio

Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function

rlogis() function in R Language is used to compute random logistic density among a range of inputs. Syntax: rlogis(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample s

Compute Randomly Drawn Wilcoxon Rank Sum Density in R Programming - rwilcox() Function

rwilcox() function in R Language is used to compute random density for Wilcoxon Rank Sum Statistic Distribution over a sequence of random Numeric values. Syntax: rwilcox(N, m, n) Parameters: N: Size of Random Vector m: Larger sample size n: Smaller sample size Example 1: Python3 1== # R Program to c

Compute Randomly Drawn Log Normal Density in R Programming - rlnorm() Function

rlnorm() function in R Language is used to compute random log normal density among a range of inputs. Syntax: rlnorm(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random log normal density points # Setting seed for # random number generation set.seed(1000) # Set samp

Compute Cauchy Density in R Programming - dcauchy() Function

dcauchy() function in R Language is used to calculate the cauchy density. It also creates a density plot of cauchy distribution. Syntax: dcauchy(vec, scale) Parameters: vec: x-values for cauchy function scale: Scale for plotting Example 1: Python3 1== # R Program to compute cauchy density # Creating

Compute Randomly Drawn Wilcoxon Signedrank Density in R Programming - rsignrank() Function

rsignrank() function in R Language is used to compute random density for Wilcoxon Signedrank Statistic Distribution over a sequence of random Numeric values. Syntax: rsignrank(N, n) Parameters: N: Size of Random Vector n: Sample Size Example 1: Python3 1== # R Program to compute random # Wilcoxon Si

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