Compute the Value of Quantile Function over Weibull Distribution in R Programming - qweibull() Function

Compute the value of Quantile Function over Studentized Distribution in R Programming - qtukey() Function

Last Updated : 25 Jun, 2020

qtukey() function in R Language is used to compute the value of Studentized Range Quantile Function over a sequence of Numeric Values.

Syntax: qtukey(x, nmeans, df) Parameters: x: Numeric Vector nmeans: Number of means df: Degree of Freedom

Example 1:

Python3 1==

# R Program to compute the value of
# Quantile Function Studentized Range

# Creating a sequence of Numeric values
x <- seq(0, 1, by = 0.1)

# Calling qtukey() Function
y <- qtukey(x, nmeans = 7, df = 5)
y

Output:

 [1] 0.000000 1.574255 1.933986 2.237255 2.531898 2.842588 3.193850 3.623645
 [9] 4.214094 5.238196      Inf

Example 2:

Python3 1==

# R Program to compute the value of
# Quantile Function Studentized Range

# Creating a sequence of Numeric values
x <- seq(0, 1, by = 0.02)

# Calling qtukey() Function
y <- qtukey(x, nmeans = 7, df = 5)

# Plot a graph
plot(y)

Output:

Compute the Value of Quantile Function over Weibull Distribution in R Programming - qweibull() Function

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