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

Compute value of Log Normal Quantile Function in R Programming - qlnorm() Function

Last Updated : 25 Jun, 2020

qlnorm() function in R Language is used to compute the value of log normal quantile function. It also creates a plot of the quantile function of log normal distribution.

Syntax: qlnorm(vec) Parameters: vec: x-values for normal density

Example 1:

Python3 1==

# R program to compute value of
# log normal quantile function

# Creating x-values for density
x <- seq(0, 1, by = 0.2)

# Calling qlnorm() function
y <- qlnorm(x)
y

Output:

[1] 0.0000000 0.4310112 0.7761984 1.2883304 2.3201254       Inf

Example 2:

Python3 1==

# R program to compute value of
# log normal quantile function

# Creating x-values for density
x <- seq(0, 1, by = 0.02)

# Calling qlnorm() function
y <- qlnorm(x)

# Plot a graph
plot(y)

Output:

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

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