Compute value of Logistic Quantile Function in R Programming - qlogis() Function

Compute the Value of Poisson Quantile Function in R Programming - qpois() Function

Last Updated : 25 Jun, 2020

qpois() function in R Language is used to compute the value of Poisson Quantile Function. It creates a quantile density plot for poisson distribution.

Syntax: qpois(vec, lambda) Parameters: vec: Sequence of integer values lambda: Average number of events per interval

Example 1:

Python3 1==

# R program to compute 
# Poisson Quantile Density

# Sequence of x-values
x <- seq(0, 1, by = .01)

# Calling qpois() Function
y <- qpois(x, lambda = 5)
y

Output:

  [1]   0   1   1   1   1   2   2   2   2   2   2   2   2   3   3   3   3   3
 [19]   3   3   3   3   3   3   3   3   3   4   4   4   4   4   4   4   4   4
 [37]   4   4   4   4   4   4   4   4   4   5   5   5   5   5   5   5   5   5
 [55]   5   5   5   5   5   5   5   5   6   6   6   6   6   6   6   6   6   6
 [73]   6   6   6   6   6   7   7   7   7   7   7   7   7   7   7   8   8   8
 [91]   8   8   8   8   9   9   9  10  10  11 Inf

Example 2:

Python3 1==

# R program to compute 
# Poisson Quantile Density

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

# Calling qpois() Function
y <- qpois(x, lambda = 15)

# Plot a graph
plot(y)

Output:

Compute value of Logistic Quantile Function in R Programming - qlogis() Function

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