| Name : R-qqtest
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:12:14
|
| Group : Development/Libraries/Other
| Source RPM : R-qqtest-1.2.0-lp153.2.13.src.rpm
|
| Size : 0.29 MB
| |
| Packager : (none)
| |
| Summary : Self Calibrating Quantile-Quantile Plots for Visual Testing
|
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
