Compute the value of Cauchy Quantile Function in R Programming - qcauchy() Function

Compute the Value of Negative Binomial Quantile Function in R Programming - qnbinom() Function

Last Updated : 25 Jun, 2020

qnbinom() function in R Language is used to compute the value of negative binomial quantile function. It also creates a density plot of the negative binomial quantile function.

Syntax: qnbinom(vec, size, prob) Parameters: vec: x-values for binomial density size: Number of trials prob: Probability

Example 1:

Python3 1==

# R program to compute value of
# Negative Binomial Quantile Function

# Vector of x-values
x <- seq(0, 1, by = 0.1)

# Calling qnbinom() Function
y <- qnbinom(x, size = 100, prob = 0.5)
y

Output:

 [1]   0  82  88  92  96  99 103 107 112 118 Inf

Example 2:

Python3 1==

# R program to compute value of
# Negative Binomial Quantile Function

# Vector of x-values
x <- seq(0, 1, by = 0.01)

# Calling qnbinom() Function
y <- qnbinom(x, size = 100, prob = 0.8)

# Plot a graph
plot(y)

Output:

Compute the value of Cauchy Quantile Function in R Programming - qcauchy() Function

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