aqqunif: aqqunif

In anastasia-lucas/plotman: A Manhattan Plot Package

Description

Create animated qqplots with an assumed uniform distribution

Usage

aqqunif(d, CI = 0.95, opacity = 1, groupcolors, splitby = NULL,
  highlight_p, highlight_name, annotate_p, annotate_name, highlighter = "red",
  line, background, title, file = "aqqunif", ext = "gif", wi = 800,
  hgt = 800)

Arguments

d	dataframe with at least two columns, p-value and Frame; Color, Shape, and Name optional
CI	two-sided confidence interval, default 0.95
opacity	point opacity, default 1
groupcolors	named vector of colors corresponding to data in Group column
splitby	if data contains Color and/or Shape, indicate variable(s) by which the data should be subsetted for calculating CIs
highlight_p	p-value threshold to highlight
highlight_name	vector of names to highlight, dataframe must include a Name column
annotate_p	p-value threshold to annotate, dataframe must include a Name column
annotate_name	vector of names to annotate, dataframe must include a Name column
highlighter	highlighter color
line	draw a red line at pvalue threshold (observed)
background	can change to "white"
title	plot title
file	filename
ext	file type to save, "gif" or "mp4"
wi	width of plot in pixels
hgt	height of plot in pixels

Value

png image(s)

Examples

data(gwas)
aqqunif(d=data.frame(pvalue=gwas$pvalue, Frame=gwas$Frame, Color=gwas$Frame),
opacity=0.6, splitby="Color")

anastasia-lucas/plotman documentation built on July 13, 2020, 11:47 p.m.