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

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

Last Updated : 25 Jun, 2020

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 size
N <- 20

# Calling rlogis() Function
y <- rlogis(N)
y

Output:

 [1] -0.71779506  1.14636578 -2.05114837  0.80365206  0.06563317 -2.62196720
 [7]  1.03929969  0.33730220 -1.29048105 -1.06622107 -0.61931410  1.12795649
[13] -0.76720400  1.86443303  1.17562774 -2.54319669 -0.02953117  0.55442681
[19] -2.37810163  0.33889069

Example 2:

Python3 1==

# R program to generate 
# random logistic density points

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

# Set sample size
N <- 500

# Calling rlogis() Function
y <- rlogis(N)

# Plot a 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 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 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 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 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 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 Cauchy Density in R Programming - rcauchy() Function

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 generati

Compute the Logistic Density in R Programming - dlogis() Function

dlogis() function in R Language is used to compute logistic density of the distribution. It also creates a plot of the density of the logistic distribution. Syntax: dlogis(vec) Parameters: vec: Vector of x-values for density Example 1: Python3 1== # R program to calculate # logistic density # Create

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 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 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