Compute the value of F Cumulative Distribution Function in R Programming - pf() Function Last Updated : 25 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report pf() function in R Language is used to compute the density of F Cumulative Distribution Function over a sequence of numeric values. It also plots a density graph for F Cumulative Distribution. Syntax: pf(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom Example 1: Python3 1== # R Program to compute # Cumulative F Density # Creating a sequence of x-values x <- seq(1, 30, by = 2) # Calling pf() Function y <- pf(x, df1 = 2, df2 = 3) y Output: [1] 0.5352420 0.8075499 0.8891420 0.9258675 0.9460051 0.9584308 0.9667275 [8] 0.9725899 0.9769124 0.9802073 0.9827867 0.9848509 0.9865331 0.9879255 [15] 0.9890935 Example 2: Python3 1== # R Program to compute # Cumulative F Density # Creating a sequence of x-values x <- seq(1, 30, by = 0.2) # Calling pf() Function y <- pf(x, df1 = 3, df2 = 7) # Plot a graph plot(y) Output: Comment More infoAdvertise with us Next Article Compute the value of F Cumulative Distribution Function in R Programming - pf() Function N nidhi_biet Follow Improve Article Tags : R Language R Statistics Similar Reads Compute the Value of Empirical Cumulative Distribution Function in R Programming - ecdf() Function ecdf() function in R Language is used to compute and plot the value of Empirical Cumulative Distribution Function of a numeric vector. Syntax: ecdf(x) Parameters: x: Numeric Vector Example 1: Python3 1== # R Program to compute the value of # Empirical Cumulative Distribution Function # Creating a Nu 1 min read Compute the value of Quantile Function over F Distribution in R Programming - qf() Function qf() function in R Language is used to compute the value of quantile function over F distribution for a sequence of numeric values. It also creates a density plot of quantile function over F Distribution. Syntax: qf(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom Example 1: Python3 1 min read Compute Density of the Distribution Function in R Programming - dunif() Function dunif() function in R Language is used to provide the density of the distribution function. Syntax: dunif(x, min = 0, max = 1, log = FALSE) Parameters: x: represents vector min, max: represents lower and upper limits of the distribution log: represents logical value for probabilities Example 1: r # 1 min read Compute the Value of F Density in R Programming - df() Function df() function in R Language is used to compute the density of F Distribution over a sequence of numeric values. It also plots a density graph for F Distribution. Syntax: df(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom Example 1: Python3 1== # R Program to compute # F Density # Cr 1 min read Compute the Value of Quantile Function over Uniform Distribution in R Programming - qunif() Function In R programming, qunif() function gives the value of quantile function over Uniform Distribution. Syntax: qunif(p, min, max, lower.tail = TRUE, log.p = FALSE) Parameters: p: represents probabilities vector min, max: represents lower and upper limits of the distribution lower.tail: represents logica 1 min read Like