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

Compute the Value of Weibull Density in R Programming - dweibull() Function

Last Updated : 25 Jun, 2020

dweibull() function in R Language is used to compute the value of Weibull Density over different numeric values for Weibull Distribution.

Syntax: dweibull(x, shape) Parameters: x: Numeric Vector shape: Shape Parameter

Example 1:

Python3 1==

# R Program to compute
# Weibull Density

# Creating a sequence of x-values
x <- seq(-10, 10, by = 1)

# Calling dweibull() Function
y <- dweibull(x, shape = 0.2)
y

Output:

 [1] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
 [7] 0.000000000 0.000000000 0.000000000 0.000000000         Inf 0.073575888
[13] 0.036419388 0.023895654 0.017633032 0.013888170 0.011403732 0.009638988
[19] 0.008323206 0.007305972 0.006497101

Example 2:

Python3 1==

# R Program to compute
# Weibull Density

# Creating a sequence of x-values
x <- seq(-10, 10, by = 0.5)

# Calling dweibull() Function
y <- dweibull(x, shape = 0.5)

# Plot a graph
plot(y)

Output:

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

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