Adding Noise to a Numeric Vector in R Programming – jitter() Function
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:
# 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
# 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:
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