Package: qqtest
Type: Package
Title: Self Calibrating Quantile-Quantile Plots for Visual Testing
Version: 1.1.1
Date: 2016-02-23
Authors@R: person("Wayne", "Oldford", email="rwoldford@uwaterloo.ca",
role=c("aut", "cre"))
Maintainer: Wayne Oldford <rwoldford@uwaterloo.ca>
Description: 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.
LazyData: true
License: GPL-3
Depends: R (>= 2.10.0)
Imports: grDevices, robust, stats
NeedsCompilation: no
Packaged: 2016-02-23 22:14:26 UTC; rwoldford
Author: Wayne Oldford [aut, cre]
RoxygenNote: 5.0.1
Repository: CRAN
Date/Publication: 2016-02-25 00:32:10

Package: qqtest
Type: Package
Title: Self Calibrating Quantile-Quantile Plots for Visual Testing
Version: 1.1
Date: 2015-08-05
Authors@R: person("Wayne", "Oldford", email="rwoldford@uwaterloo.ca",
role=c("aut", "cre"))
Maintainer: Wayne Oldford <rwoldford@uwaterloo.ca>
Description: 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.
LazyData: true
License: GPL-3
Depends: R (>= 2.10.0)
Imports: grDevices, robust
NeedsCompilation: no
Packaged: 2015-08-20 18:38:12 UTC; rwoldford
Author: Wayne Oldford [aut, cre]
Repository: CRAN
Date/Publication: 2015-08-20 23:56:05