QQplotgg: Implementation of Quantile-Quantile Plot with ggplot2

In mistr: Mixture and Composite Distributions

Implementation of Quantile-Quantile Plot with ggplot2

Description

QQplotgg is a generic function that produces QQ plot of two datasets, distribution and dataset or two distributions.

Usage

QQplotgg(
  d1,
  d2,
  line = TRUE,
  col = "#F9D607",
  line_col = "#f28df9",
  xlab = deparse(substitute(d1)),
  ylab,
  main = "Q-Q plot",
  alpha,
  lwd = 1,
  ...
)

## Default S3 method:
QQplotgg(
  d1,
  d2,
  line = TRUE,
  col = "#F9D607",
  line_col = "#f28df9",
  xlab = deparse(substitute(d1)),
  ylab = deparse(substitute(d2)),
  main = "Q-Q plot",
  alpha = 0.5,
  lwd = 1,
  ...
)

## S3 method for class 'dist'
QQplotgg(
  d1,
  d2,
  line = TRUE,
  col = "#F9D607",
  line_col = "#f28df9",
  xlab = deparse(substitute(d1)),
  ylab = ylabe,
  main = "Q-Q plot",
  alpha = 0.7,
  lwd = 1,
  CI = re,
  CI_alpha = 0.4,
  CI_col = line_col,
  conf = 0.95,
  n = 100,
  ...
)

QQnormgg(d2, xlab = "Standard Normal", ylab = deparse(substitute(d2)), ...)

Arguments

d1	distribution object or dataset.
d2	distribution object or dataset.
line	if qqline should be included, default: TRUE.
col	color of points, default: '#F9D607'.
line_col	color of qqline, default: '#f28df9'.
xlab	xlab, default: deparse(substitute(d1)).
ylab	ylab. default: deparse(substitute(d2)).
main	title, default: 'Q-Q plot'.
alpha	alpha of points, default: 0.7.
lwd	lwd of qqline, default: 1.
...	further arguments to be passed.
CI	if confidence bound should be included.
CI_alpha	alpha of confidence bound, default: 0.4.
CI_col	color of confidence bound , default: line_col.
conf	confidence level for confidence bound, default: 0.95.
n	number of points at which quantile functions are evaluated if two distributions are compared, default: 100.

Details

QQplotgg is able to compare any combination of dataset and distributions.

QQnormgg is a wrapper around QQplotgg, where d1 is set to normdist().

If quantiles of a continuous distribution are compared with a sample, a confidence bound for data is offered. This confidence "envelope" is based on the asymptotic results of the order statistics. For more details see https://en.wikipedia.org/wiki/Order_statistic.

Value

ggplot object.

Examples

# sample vs sample
QQplotgg(r(normdist(), 10000), r(tdist(df = 4), 10000))

# distribution vs sample
QQplotgg(normdist(), r(tdist(df = 4), 10000))

# distribution vs distribution
QQplotgg(normdist(), tdist(df = 4))

mistr documentation built on March 7, 2023, 7:42 p.m.