File R-dispersionIndicators.spec of Package R-dispersionIndicators
# Automatically generated by CRAN2OBS
#
# Spec file for package dispersionIndicators
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
# discussed with upstream.
#
# Copyright (c) 2025 SUSE LINUX GmbH, Nuernberg, Germany.
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%global packname dispersionIndicators
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 0.1.1
Release: 0
Summary: Indicators for the Analysis of Dispersion of Datasets with Batched and Ordered Samples
Group: Development/Libraries/Other
License: MIT + file LICENSE
URL: http://cran.r-project.org/web/packages/%{packname}
Source: dispersionIndicators_0.1.1.tar.gz
Requires: R-base
Requires: R-corpcor
Requires: R-ggplot2
Requires: R-cli
Requires: R-gtable
Requires: R-isoband
Requires: R-lifecycle
Requires: R-rlang
Requires: R-S7
Requires: R-scales
Requires: R-vctrs
Requires: R-withr
Requires: R-glue
Requires: R-farver
Requires: R-labeling
Requires: R-R6
Requires: R-RColorBrewer
Requires: R-viridisLite
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
# # Three others commonly needed
# BuildRequires: tex(ae.sty)
# BuildRequires: tex(fancyvrb.sty)
# BuildRequires: tex(inconsolata.sty)
# BuildRequires: tex(natbib.sty)
# %else
# BuildRequires: texlive
# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-corpcor
BuildRequires: R-ggplot2
BuildRequires: R-cli
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-lifecycle
BuildRequires: R-rlang
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-vctrs
BuildRequires: R-withr
BuildRequires: R-glue
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-R6
BuildRequires: R-RColorBrewer
BuildRequires: R-viridisLite
Suggests: R-cli
Suggests: R-pdftools
Suggests: R-testthat
%description
Provides methods for analyzing the dispersion of tabular datasets with
batched and ordered samples. Based on convex hull or integrated
covariance Mahalanobis, several indicators are implemented for inter
and intra batch dispersion analysis. It is designed to facilitate
robust statistical assessment of data variability, supporting
applications in exploratory data analysis and quality control, for such
datasets as the one found in metabololomics studies. For more details
see Salanon (2024) <doi:10.1016/j.chemolab.2024.105148> and Salanon
(2025) <doi:10.1101/2025.08.01.668073>.
%prep
%setup -q -c -n %{packname}
# the next line is needed, because we build without --clean in between two packages
rm -rf ~/.R
%build
%install
mkdir -p %{buildroot}%{rlibdir}
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
rm -f %{buildroot}%{rlibdir}/R.css
%fdupes -s %{buildroot}%{rlibdir}
#%%check
#%%{_bindir}/R CMD check %%{packname}
%files
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog