ggplot 2 Compatible Quantile-Quantile Plots in R by
ggplot 2 Compatible Quantile-Quantile Plots in R by
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发表时间：
2019
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通讯作者：
Alexandre Almeida;A. Loy;H. Hofmann
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作者：
Alexandre Almeida;A. Loy;H. Hofmann
Q-Q图允许我们通过比较一组来自经验分布和以散点图形式的理论分布的分位数来评估单变量分布假设。为了帮助解释Q-Q图，参考线和置信带经常被添加进来。我们还可以消除Q-Q图的趋势，以便关注兴趣的垂直比较。R中存在各种Q-Q图的实现，但没有一个实现所有这些特性。qqplotr扩展了ggplot2，提供了Q-Q图的完整实现。本文介绍了qqplotr提供的绘图框架，并举例说明了如何使用它。
Q-Q plots allow us to assess univariate distributional assumptions by comparing a set of quantiles from the empirical and the theoretical distributions in the form of a scatterplot. To aid in the interpretation of Q-Q plots, reference lines and confidence bands are often added. We can also detrend the Q-Q plot so the vertical comparisons of interest come into focus. Various implementations of Q-Q plots exist in R, but none implements all of these features. qqplotr extends ggplot2 to provide a complete implementation of Q-Q plots. This paper introduces the plotting framework provided by qqplotr and provides multiple examples of how it can be used.