Compute the value of CDF over Studentized Range Distribution in R Programming - ptukey() Function Last Updated : 25 Jun, 2020 Comments Improve Suggest changes Like Article Like Report ptukey() function in R Language is used to compute the value of Cumulative Distribution Function(CDF) over Studentized Range for a sequence of numeric values. Syntax: ptukey(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 # CDF for Studentized Range # Creating a sequence of Numeric values x <- seq(1, 10, by = 1) # Calling ptukey() Function y <- ptukey(x, nmeans = 7, df = 5) y Output: [1] 0.01416051 0.22099429 0.54676395 0.76823006 0.88284988 0.93871676 [7] 0.96637587 0.98063547 0.98833593 0.99268670 Example 2: Python3 1== # R Program to compute the value of # CDF for Studentized Range # Creating a sequence of Numeric values x <- seq(1, 10, by = 0.2) # Calling ptukey() Function y <- ptukey(x, nmeans = 8, df = 7) # Plot a graph plot(y) Output: Comment More infoAdvertise with us Next Article Compute the value of CDF over Studentized Range Distribution in R Programming - ptukey() Function N nidhi_biet Follow Improve Article Tags : R Language R Statistics Similar Reads Compute the value of Quantile Function over Studentized Distribution in R Programming - qtukey() Function qtukey() function in R Language is used to compute the value of Studentized Range Quantile Function over a sequence of Numeric Values. 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