Compute Cauchy Density in R Programming - dcauchy() Function

Compute Cumulative Cauchy Density in R Programming - pcauchy() Function

Last Updated : 25 Jun, 2020

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

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

Example 1:

Python3 1==

# R Program to compute cumulative cauchy density

# Creating vector for x-values
x <- seq(0, 2, by = 0.2)

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

Output:

 [1] 0.5000000 0.5127256 0.5254107 0.5380154 0.5505015 0.5628330 0.5749763
 [8] 0.5869014 0.5985815 0.6099938 0.6211189

Example 2:

Python3 1==

# R Program to compute cumulative cauchy density

# Creating vector for x-values
x <- seq(0, 2, by = 0.2)

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

# Plotting a graph
plot(y)

Output:

Compute Cauchy Density in R Programming - dcauchy() Function

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