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

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

Last Updated : 25 Jun, 2020

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 a vector of x-values
x <- seq(-1, 1, by = 0.1)

# Calling the dlogis() function
y <- dlogis(x)
y

Output:

 [1] 0.1966119 0.2055003 0.2139097 0.2217129 0.2287842 0.2350037 0.2402607
 [8] 0.2444583 0.2475166 0.2493760 0.2500000 0.2493760 0.2475166 0.2444583
[15] 0.2402607 0.2350037 0.2287842 0.2217129 0.2139097 0.2055003 0.1966119

Example 2:

Python3 1==

# R program to calculate 
# logistic density

# Create a vector of x-values
x <- seq(-1, 1, by = 0.01)

# Calling the dlogis() function
y <- dlogis(x)

# Plot the graph
plot(y)

Output:

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

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