Creates a quantile-quantile plot from p-values from an association study,
e.g. a genome wide association study (GWAS). We compare
the data quantile with a theoretical quantile from a uniform distribution.
This code is mostly adapted from the <code>qqman</code> package, but improved
for speed. A graph with a hundred million points should only take a few
seconds to generate.

visualization

qqplot

New and faster implementations for quantile quantile plots.
The package also includes a function to prune data for quantile quantile
plots. This can drastically reduce the running time for large samples,
for 100 million samples, you can expect a factor 80X speedup.

Gudmundur Einarsson

fastqq

Faster Generation of Quantile Quantile Plots with Large Samples

Hafsteinn Einarsson

qq function

<dl><dt>pvector</dt>
<dd>A numeric vector of p-values.</dd>
<dt>...</dt>
<dd>Other arguments passed to <code><a href="/link/plot()?package=fastqq&version=0.1.3" data-mini-rdoc="fastqq::plot()">plot()</a></code></dd></dl>

Arguments

Creates a Q-Q plot — qq

<dl>

<dt>pvector</dt>
<dd>A numeric vector of p-values.</dd>


<dt>...</dt>
<dd>Other arguments passed to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code></dd>

</dl>

qq: Creates a Q-Q plot

Description

Usage

Value

Arguments

Examples