Adding Noise to a Numeric Vector in R Programming - jitter() Function Last Updated : 19 Jun, 2020 Comments Improve Suggest changes Like Article Like Report In R programming, jittering means adding small amount of random noise to a numeric vector object. In this article, we'll learn to use jitter() function and create a plot to visualize them. Syntax: jitter(x, factor) Parameters: x: represents numeric vector factor: represents numeric value for factor specification Example 1: r # Define numeric vectors x <- round(runif(1000, 1, 10)) y <- x + rnorm(1000, mean = 0, sd = 5) # output to be present as PNG file png(file="withoutJitter.png") # Plotting without jitter function plot(x, y, xlim = c(0, 11), main = "Without Jitter Function") # saving the file dev.off() x_j <- jitter(x) # output to be present as PNG file png(file="withJitter.png") # Plotting with jitter function plot(x_j, y, xlim = c(0, 11), main = "With Jitter Function") # saving the file dev.off() Output: Example 2: With large factor value r # Define numeric vectors x <- round(runif(1000, 1, 10)) y <- x + rnorm(1000, mean = 0, sd = 5) # output to be present as PNG file png(file="withoutJitterFactor.png") # Plotting without jitter function plot(x, y, xlim = c(0, 11), main = "Without Jitter Function") # saving the file dev.off() x_j <- jitter(x, factor = 2) # output to be present as PNG file png(file="withJitterFactor.png") # Plotting with jitter function plot(x_j, y, xlim = c(0, 11), main = "With Jitter Function and Large Factor") # saving the file dev.off() Output: Comment More infoAdvertise with us Next Article Adding Noise to a Numeric Vector in R Programming - jitter() Function utkarsh_kumar Follow Improve Article Tags : R Language R-plots R Vector-Function R Factor-Function Similar Reads Convert an Integer to Bits in R Programming - intToBits() Function intToBits() function in R Language is used to convert an integer into Bits i.e. 0s and 1s. 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