CRAN/E | qqtest

qqtest

Self Calibrating Quantile-Quantile Plots for Visual Testing

Installation

About

Provides the function qqtest which incorporates uncertainty in its qqplot display(s) so that the user might have a better sense of the evidence against the specified distributional hypothesis. qqtest draws a quantile quantile plot for visually assessing whether the data come from a test distribution that has been defined in one of many ways. The vertical axis plots the data quantiles, the horizontal those of a test distribution. The default behaviour generates 1000 samples from the test distribution and overlays the plot with shaded pointwise interval estimates for the ordered quantiles from the test distribution. A small number of independently generated exemplar quantile plots can also be overlaid. Both the interval estimates and the exemplars provide different comparative information to assess the evidence provided by the qqplot for or against the hypothesis that the data come from the test distribution (default is normal or gaussian). Finally, a visual test of significance (a lineup plot) can also be displayed to test the null hypothesis that the data come from the test distribution.

github.com/rwoldford/qqtest
rwoldford.github.io/qqtest/

Key Metrics

Version 1.2.0
R ≥ 2.10.0
Published 2020-03-16 1668 days ago
Needs compilation? no
License GPL-3
CRAN checks qqtest results

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Maintainer

Maintainer

Wayne Oldford

Authors

Wayne Oldford

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

The K distribution

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

qqtest archive

Depends

R ≥ 2.10.0

Imports

grDevices
stats

Suggests

knitr
rmarkdown

Reverse Suggests

LMMstar
zenplots