# 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:

 `# 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:

 `# 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:

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