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:

# 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:

# 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:

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