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Draw a Quantile-Quantile Plot in R Programming – qqline() Function
• Last Updated : 30 Jun, 2020

The Quantile-Quantile Plot or (Q-Q Plot) is defined as a value of two variables that are plotted corresponding to each other and check whether the distributions of two variables are similar or not with respect to the locations. `qqline()` function in R Language is used to draw a Q-Q Line Plot.

Syntax: qqline(x, y, col)

Parameters:
x, y: X and Y coordinates of plot
col: It defines color

Returns: A QQ Line plot of the coordinates provided

Example 1: Implementation of Basic QQplot Interpretation

 `# Set seed for reproducibility``set.seed``(500)`` ` `# Create random normally distributed values``x <- ``rnorm``(1200)`` ` `# QQplot of normally distributed values``qqnorm``(x) `` ` `# Add qqline to plot``qqline``(x, col = ``"darkgreen"``)`

Output: Above is a representation of QQplot of Normally Distributed Random Numbers.

Example 2: Implementation of QQplot of Logistically Distributed Values

 `# Set seed for reproducibility`` ` `# Random values according to logistic distribution``# QQplot of logistic distribution``y <- ``rlogis``(800)  `` ` `# QQplot of normally distributed values``qqnorm``(y) `` ` `# Add qqline to plot``qqline``(y, col = ``"darkgreen"``)`

Output: Above is the Q-Q Plot of theoretical quantiles.

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