Compute the Value of Empirical Cumulative Distribution Function in R Programming - ecdf() Function Last Updated : 25 Jun, 2020 Comments Improve Suggest changes Like Article Like Report 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 Numeric Vector x <- seq(1, 50, by = 2) # Calling ecdf() Function y <- ecdf(x) y Output: Empirical CDF Call: ecdf(x) x[1:25] = 1, 3, 5, ..., 47, 49 Example 2: Python3 1== # R Program to compute the value of # Empirical Cumulative Distribution Function # Creating a random vector x <- rnorm(30) # Calling ecdf() Function y <- ecdf(x) # Plot a graph plot(y) Output: Comment More infoAdvertise with us Next Article Compute the Value of Empirical Cumulative Distribution Function in R Programming - ecdf() Function N nidhi_biet Follow Improve Article Tags : R Language R Statistics Similar Reads Compute the value of F Cumulative Distribution Function in R Programming - pf() Function 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 Prog 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 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 Empirical Cumulative Distribution Function in R The Empirical Cumulative Distribution Function (ECDF) is a non-parametric method for estimating the Cumulative Distribution Function (CDF) of a random variable. Unlike parametric methods, the ECDF makes no assumptions about the underlying probability distribution of the data.It is defined as a step 8 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 Compute the Cumulative Poisson Density in R Programming - ppois() Function ppois() function in R Language is used to compute the cumulative density function for Poisson distribution. Syntax: ppois(vec, lambda) Parameters: vec: Sequence of integer values lambda: Average number of events per interval Example 1: Python3 1== # R program to compute # Cumulative Poisson Density 1 min read Compute the Value of Cumulative Weibull Density in R Programming - pweibull() Function pweibull() function in R Language is used to compute the value of Cumulative Distribution Function for Weibull Distribution. It also plots a density graph for Cumulative Weibull Function. Syntax: pweibull(x, shape) Parameters: x: Numeric Vector shape: Shape Parameter Example 1: Python3 1== # R Progr 1 min read Compute the Value of Quantile Function over Weibull Distribution in R Programming - qweibull() Function qweibull() function in R Language is used to compute the value of Quantile Function for Weibull Distribution. Syntax: qweibull(x, shape) Parameters: x: Numeric Vector shape: Shape Parameter Example 1: Python3 1== # R Program to compute the value of # Quantile Weibull Function # Creating a sequence o 1 min read 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. 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 1 min read Like