Compute Cumulative Chi Square Density in R Programming - pchisq() Function

Compute Cauchy Density in R Programming - dcauchy() Function

Last Updated : 25 Jun, 2020

dcauchy() function in R Language is used to calculate the cauchy density. It also creates a density plot of cauchy distribution.

Syntax: dcauchy(vec, scale) Parameters: vec: x-values for cauchy function scale: Scale for plotting

Example 1:

Python3 1==

# R Program to compute cauchy density

# Creating vector for x-values
x <- seq(1, 10, by = 1)

# Apply dcauchy() Function
y <- dcauchy(x, scale = 5)
y

Output:

 [1] 0.06121344 0.05488101 0.04681028 0.03881828 0.03183099 0.02609097
 [7] 0.02150742 0.01788258 0.01501462 0.01273240

Example 2:

Python3 1==

# R Program to compute cauchy density

# Creating vector for x-values
x <- seq(1, 10, by = 1)

# Apply dcauchy() Function
y <- dcauchy(x, scale = 5)

# Plotting a graph
plot(y)

Output:

Compute Cumulative Chi Square Density in R Programming - pchisq() Function

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